From d6d4737eb8b0413d741cef798a8c84122aac6ec9 Mon Sep 17 00:00:00 2001
From: agdamsbo <43278243+agdamsbo@users.noreply.github.com>
Date: Fri, 7 Feb 2025 15:43:48 +0000
Subject: [PATCH] =?UTF-8?q?Deploying=20to=20gh-pages=20from=20@=20agdamsbo?=
 =?UTF-8?q?/freesearcheR@4050429375764c9745acdd1e5fdef7fdafde2c00=20?=
 =?UTF-8?q?=F0=9F=9A=80?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 404.html                                      |   2 +-
 CODE_OF_CONDUCT.html                          |   2 +-
 LICENSE.html                                  |   2 +-
 ROADMAP.html                                  |   2 +-
 authors.html                                  |   6 +++---
 deps/bootstrap-5.3.1/bootstrap.min.css        |   2 +-
 deps/bootstrap-5.3.1/font.css                 |  12 ++++++------
 .../fonts/JTUSjIg1_i6t8kCHKm459W1hyzbi.woff2  | Bin 21288 -> 23836 bytes
 .../fonts/JTUSjIg1_i6t8kCHKm459WRhyzbi.woff2  | Bin 23516 -> 26476 bytes
 .../fonts/JTUSjIg1_i6t8kCHKm459WZhyzbi.woff2  | Bin 9512 -> 13020 bytes
 .../fonts/JTUSjIg1_i6t8kCHKm459Wdhyzbi.woff2  | Bin 27812 -> 70768 bytes
 .../fonts/JTUSjIg1_i6t8kCHKm459Wlhyw.woff2    | Bin 33092 -> 37828 bytes
 index.html                                    |   2 +-
 news/index.html                               |   7 ++++++-
 pkgdown.yml                                   |   2 +-
 reference/add_class_icon.html                 |   2 +-
 reference/add_sparkline.html                  |   2 +-
 reference/argsstring2list.html                |   2 +-
 reference/baseline_table.html                 |   2 +-
 reference/create_overview_datagrid.html       |   2 +-
 reference/custom_theme.html                   |   2 +-
 reference/cut-variable.html                   |   2 +-
 reference/cut.html                            |   2 +-
 reference/data-summary.html                   |   2 +-
 reference/default_format_arguments.html       |   2 +-
 reference/default_parsing.html                |   2 +-
 reference/factorize.html                      |   2 +-
 reference/file_export.html                    |   2 +-
 reference/format_writer.html                  |   2 +-
 reference/getfun.html                         |   4 ++--
 reference/index.html                          |   2 +-
 reference/index_embed.html                    |   2 +-
 reference/is_any_class.html                   |   2 +-
 reference/is_consecutive.html                 |   2 +-
 reference/is_datetime.html                    |   2 +-
 reference/m_datafileUI.html                   |   2 +-
 reference/modify_qmd.html                     |   2 +-
 reference/overview_vars.html                  |   2 +-
 reference/read_input.html                     |   2 +-
 reference/redcap_read_shiny_module.html       |   2 +-
 reference/regression_model.html               |   2 +-
 reference/regression_model_uv.html            |   2 +-
 reference/regression_table.html               |   2 +-
 reference/remove_na_attr.html                 |   2 +-
 reference/shiny_freesearcheR.html             |   2 +-
 reference/specify_qmd_format.html             |   2 +-
 reference/tbl_merge.html                      |   2 +-
 reference/update-variables.html               |   2 +-
 reference/update_variables_datagrid.html      |   2 +-
 reference/write_quarto.html                   |   2 +-
 search.json                                   |   2 +-
 51 files changed, 59 insertions(+), 54 deletions(-)

diff --git a/404.html b/404.html
index 884b807..7785aae 100644
--- a/404.html
+++ b/404.html
@@ -23,7 +23,7 @@
 
     <a class="navbar-brand me-2" href="https://agdamsbo.github.io/freesearcheR/index.html">freesearcheR</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">25.1.1</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">25.2.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/CODE_OF_CONDUCT.html b/CODE_OF_CONDUCT.html
index f7788fb..4acda8c 100644
--- a/CODE_OF_CONDUCT.html
+++ b/CODE_OF_CONDUCT.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="index.html">freesearcheR</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">25.1.1</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">25.2.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/LICENSE.html b/LICENSE.html
index 18464d5..38c596b 100644
--- a/LICENSE.html
+++ b/LICENSE.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="index.html">freesearcheR</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">25.1.1</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">25.2.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/ROADMAP.html b/ROADMAP.html
index 06218c9..791de6d 100644
--- a/ROADMAP.html
+++ b/ROADMAP.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="index.html">freesearcheR</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">25.1.1</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">25.2.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/authors.html b/authors.html
index c8c9ae8..1b47440 100644
--- a/authors.html
+++ b/authors.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="index.html">freesearcheR</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">25.1.1</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">25.2.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -47,13 +47,13 @@
 
       <p>Damsbo A (2025).
 <em>freesearcheR: Browser Based Data Analysis</em>.
-R package version 25.1.1, https://agdamsbo.github.io/freesearcheR/, <a href="https://github.com/agdamsbo/freesearcheR" class="external-link">https://github.com/agdamsbo/freesearcheR</a>.
+R package version 25.2.1, https://agdamsbo.github.io/freesearcheR/, <a href="https://github.com/agdamsbo/freesearcheR" class="external-link">https://github.com/agdamsbo/freesearcheR</a>.
 </p>
       <pre>@Manual{,
   title = {freesearcheR: Browser Based Data Analysis},
   author = {Andreas Gammelgaard Damsbo},
   year = {2025},
-  note = {R package version 25.1.1, https://agdamsbo.github.io/freesearcheR/},
+  note = {R package version 25.2.1, https://agdamsbo.github.io/freesearcheR/},
   url = {https://github.com/agdamsbo/freesearcheR},
 }</pre>
     </div>
diff --git a/deps/bootstrap-5.3.1/bootstrap.min.css b/deps/bootstrap-5.3.1/bootstrap.min.css
index f46b12b..e9219ac 100644
--- a/deps/bootstrap-5.3.1/bootstrap.min.css
+++ b/deps/bootstrap-5.3.1/bootstrap.min.css
@@ -2,4 +2,4 @@
    * Bootstrap  v5.3.1 (https://getbootstrap.com/)
    * Copyright 2011-2023 The Bootstrap Authors
    * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)
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#772953;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #772953;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #772953;--bs-btn-bg: transparent;--bs-gradient: none}.btn-link{--bs-btn-font-weight: 400;--bs-btn-color: var(--bs-link-color);--bs-btn-bg: transparent;--bs-btn-border-color: transparent;--bs-btn-hover-color: var(--bs-link-hover-color);--bs-btn-hover-border-color: transparent;--bs-btn-active-color: var(--bs-link-hover-color);--bs-btn-active-border-color: transparent;--bs-btn-disabled-color: #868e96;--bs-btn-disabled-border-color: transparent;--bs-btn-box-shadow: 0 0 0 #000;--bs-btn-focus-shadow-rgb: 64,101,160;text-decoration:underline;-webkit-text-decoration:underline;-moz-text-decoration:underline;-ms-text-decoration:underline;-o-text-decoration:underline}.btn-link:focus-visible{color:var(--bs-btn-color)}.btn-link:hover{color:var(--bs-btn-hover-color)}.btn-lg,.btn-group-lg>.btn{--bs-btn-padding-y: .5rem;--bs-btn-padding-x: 1rem;--bs-btn-font-size:1.25rem;--bs-btn-border-radius: var(--bs-border-radius-lg)}.btn-sm,.btn-group-sm>.btn{--bs-btn-padding-y: .25rem;--bs-btn-padding-x: .5rem;--bs-btn-font-size:.875rem;--bs-btn-border-radius: var(--bs-border-radius-sm)}.fade{transition:opacity 0.15s linear}@media (prefers-reduced-motion: reduce){.fade{transition:none}}.fade:not(.show){opacity:0}.collapse:not(.show){display:none}.collapsing{height:0;overflow:hidden;transition:height 0.35s ease}@media (prefers-reduced-motion: reduce){.collapsing{transition:none}}.collapsing.collapse-horizontal{width:0;height:auto;transition:width 0.35s ease}@media (prefers-reduced-motion: reduce){.collapsing.collapse-horizontal{transition:none}}.dropup,.dropend,.dropdown,.dropstart,.dropup-center,.dropdown-center{position:relative}.dropdown-toggle{white-space:nowrap}.dropdown-toggle::after{display:inline-block;margin-left:.255em;vertical-align:.255em;content:"";border-top:.3em solid;border-right:.3em solid transparent;border-bottom:0;border-left:.3em solid transparent}.dropdown-toggle:empty::after{margin-left:0}.dropdown-menu{--bs-dropdown-zindex: 1000;--bs-dropdown-min-width: 10rem;--bs-dropdown-padding-x: 0;--bs-dropdown-padding-y: .5rem;--bs-dropdown-spacer: .125rem;--bs-dropdown-font-size:1rem;--bs-dropdown-color: var(--bs-body-color);--bs-dropdown-bg: var(--bs-body-bg);--bs-dropdown-border-color: var(--bs-border-color-translucent);--bs-dropdown-border-radius: var(--bs-border-radius);--bs-dropdown-border-width: var(--bs-border-width);--bs-dropdown-inner-border-radius: calc(var(--bs-border-radius) - var(--bs-border-width));--bs-dropdown-divider-bg: var(--bs-border-color-translucent);--bs-dropdown-divider-margin-y: .5rem;--bs-dropdown-box-shadow: 0 0.5rem 1rem rgba(0,0,0,0.15);--bs-dropdown-link-color: var(--bs-body-color);--bs-dropdown-link-hover-color: var(--bs-body-color);--bs-dropdown-link-hover-bg: var(--bs-tertiary-bg);--bs-dropdown-link-active-color: #fff;--bs-dropdown-link-active-bg: #1E4A8F;--bs-dropdown-link-disabled-color: var(--bs-tertiary-color);--bs-dropdown-item-padding-x: 1rem;--bs-dropdown-item-padding-y: .25rem;--bs-dropdown-header-color: #868e96;--bs-dropdown-header-padding-x: 1rem;--bs-dropdown-header-padding-y: .5rem;position:absolute;z-index:var(--bs-dropdown-zindex);display:none;min-width:var(--bs-dropdown-min-width);padding:var(--bs-dropdown-padding-y) var(--bs-dropdown-padding-x);margin:0;font-size:var(--bs-dropdown-font-size);color:var(--bs-dropdown-color);text-align:left;list-style:none;background-color:var(--bs-dropdown-bg);background-clip:padding-box;border:var(--bs-dropdown-border-width) solid var(--bs-dropdown-border-color);border-radius:var(--bs-dropdown-border-radius)}.dropdown-menu[data-bs-popper]{top:100%;left:0;margin-top:var(--bs-dropdown-spacer)}.dropdown-menu-start{--bs-position: start}.dropdown-menu-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-end{--bs-position: end}.dropdown-menu-end[data-bs-popper]{right:0;left:auto}@media (min-width: 576px){.dropdown-menu-sm-start{--bs-position: start}.dropdown-menu-sm-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-sm-end{--bs-position: end}.dropdown-menu-sm-end[data-bs-popper]{right:0;left:auto}}@media (min-width: 768px){.dropdown-menu-md-start{--bs-position: start}.dropdown-menu-md-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-md-end{--bs-position: end}.dropdown-menu-md-end[data-bs-popper]{right:0;left:auto}}@media (min-width: 992px){.dropdown-menu-lg-start{--bs-position: start}.dropdown-menu-lg-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-lg-end{--bs-position: end}.dropdown-menu-lg-end[data-bs-popper]{right:0;left:auto}}@media (min-width: 1200px){.dropdown-menu-xl-start{--bs-position: start}.dropdown-menu-xl-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-xl-end{--bs-position: end}.dropdown-menu-xl-end[data-bs-popper]{right:0;left:auto}}@media (min-width: 1400px){.dropdown-menu-xxl-start{--bs-position: start}.dropdown-menu-xxl-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-xxl-end{--bs-position: end}.dropdown-menu-xxl-end[data-bs-popper]{right:0;left:auto}}.dropup .dropdown-menu[data-bs-popper]{top:auto;bottom:100%;margin-top:0;margin-bottom:var(--bs-dropdown-spacer)}.dropup .dropdown-toggle::after{display:inline-block;margin-left:.255em;vertical-align:.255em;content:"";border-top:0;border-right:.3em solid transparent;border-bottom:.3em solid;border-left:.3em solid transparent}.dropup .dropdown-toggle:empty::after{margin-left:0}.dropend .dropdown-menu[data-bs-popper]{top:0;right:auto;left:100%;margin-top:0;margin-left:var(--bs-dropdown-spacer)}.dropend .dropdown-toggle::after{display:inline-block;margin-left:.255em;vertical-align:.255em;content:"";border-top:.3em solid transparent;border-right:0;border-bottom:.3em solid transparent;border-left:.3em solid}.dropend .dropdown-toggle:empty::after{margin-left:0}.dropend .dropdown-toggle::after{vertical-align:0}.dropstart .dropdown-menu[data-bs-popper]{top:0;right:100%;left:auto;margin-top:0;margin-right:var(--bs-dropdown-spacer)}.dropstart .dropdown-toggle::after{display:inline-block;margin-left:.255em;vertical-align:.255em;content:""}.dropstart .dropdown-toggle::after{display:none}.dropstart .dropdown-toggle::before{display:inline-block;margin-right:.255em;vertical-align:.255em;content:"";border-top:.3em solid transparent;border-right:.3em solid;border-bottom:.3em solid transparent}.dropstart .dropdown-toggle:empty::after{margin-left:0}.dropstart .dropdown-toggle::before{vertical-align:0}.dropdown-divider{height:0;margin:var(--bs-dropdown-divider-margin-y) 0;overflow:hidden;border-top:1px solid var(--bs-dropdown-divider-bg);opacity:1}.dropdown-item{display:block;width:100%;padding:var(--bs-dropdown-item-padding-y) 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var(--bs-dropdown-header-padding-x);margin-bottom:0;font-size:.875rem;color:var(--bs-dropdown-header-color);white-space:nowrap}.dropdown-item-text{display:block;padding:var(--bs-dropdown-item-padding-y) var(--bs-dropdown-item-padding-x);color:var(--bs-dropdown-link-color)}.dropdown-menu-dark{--bs-dropdown-color: #dee2e6;--bs-dropdown-bg: #333;--bs-dropdown-border-color: var(--bs-border-color-translucent);--bs-dropdown-box-shadow: ;--bs-dropdown-link-color: #dee2e6;--bs-dropdown-link-hover-color: #fff;--bs-dropdown-divider-bg: var(--bs-border-color-translucent);--bs-dropdown-link-hover-bg: rgba(255,255,255,0.15);--bs-dropdown-link-active-color: #fff;--bs-dropdown-link-active-bg: #1E4A8F;--bs-dropdown-link-disabled-color: #aea79f;--bs-dropdown-header-color: #aea79f}.btn-group,.btn-group-vertical{position:relative;display:inline-flex;vertical-align:middle}.btn-group>.btn,.btn-group-vertical>.btn{position:relative;flex:1 1 auto;-webkit-flex:1 1 auto}.btn-group>.btn-check:checked+.btn,.btn-group>.btn-check:focus+.btn,.btn-group>.btn:hover,.btn-group>.btn:focus,.btn-group>.btn:active,.btn-group>.btn.active,.btn-group-vertical>.btn-check:checked+.btn,.btn-group-vertical>.btn-check:focus+.btn,.btn-group-vertical>.btn:hover,.btn-group-vertical>.btn:focus,.btn-group-vertical>.btn:active,.btn-group-vertical>.btn.active{z-index:1}.btn-toolbar{display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;justify-content:flex-start;-webkit-justify-content:flex-start}.btn-toolbar .input-group{width:auto}.btn-group{border-radius:var(--bs-border-radius)}.btn-group>:not(.btn-check:first-child)+.btn,.btn-group>.btn-group:not(:first-child){margin-left:calc(var(--bs-border-width) * -1)}.btn-group>.btn:not(:last-child):not(.dropdown-toggle),.btn-group>.btn.dropdown-toggle-split:first-child,.btn-group>.btn-group:not(:last-child)>.btn{border-top-right-radius:0;border-bottom-right-radius:0}.btn-group>.btn:nth-child(n + 3),.btn-group>:not(.btn-check)+.btn,.btn-group>.btn-group:not(:first-child)>.btn{border-top-left-radius:0;border-bottom-left-radius:0}.dropdown-toggle-split{padding-right:.5625rem;padding-left:.5625rem}.dropdown-toggle-split::after,.dropup .dropdown-toggle-split::after,.dropend .dropdown-toggle-split::after{margin-left:0}.dropstart .dropdown-toggle-split::before{margin-right:0}.btn-sm+.dropdown-toggle-split,.btn-group-sm>.btn+.dropdown-toggle-split{padding-right:.375rem;padding-left:.375rem}.btn-lg+.dropdown-toggle-split,.btn-group-lg>.btn+.dropdown-toggle-split{padding-right:.75rem;padding-left:.75rem}.btn-group-vertical{flex-direction:column;-webkit-flex-direction:column;align-items:flex-start;-webkit-align-items:flex-start;justify-content:center;-webkit-justify-content:center}.btn-group-vertical>.btn,.btn-group-vertical>.btn-group{width:100%}.btn-group-vertical>.btn:not(:first-child),.btn-group-vertical>.btn-group:not(:first-child){margin-top:calc(var(--bs-border-width) * -1)}.btn-group-vertical>.btn:not(:last-child):not(.dropdown-toggle),.btn-group-vertical>.btn-group:not(:last-child)>.btn{border-bottom-right-radius:0;border-bottom-left-radius:0}.btn-group-vertical>.btn~.btn,.btn-group-vertical>.btn-group:not(:first-child)>.btn{border-top-left-radius:0;border-top-right-radius:0}.nav{--bs-nav-link-padding-x: 1rem;--bs-nav-link-padding-y: .5rem;--bs-nav-link-font-weight: ;--bs-nav-link-color: var(--bs-link-color);--bs-nav-link-hover-color: var(--bs-link-hover-color);--bs-nav-link-disabled-color: var(--bs-secondary-color);display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;padding-left:0;margin-bottom:0;list-style:none}.nav-link{display:block;padding:var(--bs-nav-link-padding-y) var(--bs-nav-link-padding-x);font-size:var(--bs-nav-link-font-size);font-weight:var(--bs-nav-link-font-weight);color:var(--bs-nav-link-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;background:none;border:0;transition:color 0.15s ease-in-out,background-color 0.15s ease-in-out,border-color 0.15s ease-in-out}@media (prefers-reduced-motion: reduce){.nav-link{transition:none}}.nav-link:hover,.nav-link:focus{color:var(--bs-nav-link-hover-color)}.nav-link:focus-visible{outline:0;box-shadow:0 0 0 .25rem rgba(30,74,143,0.25)}.nav-link.disabled,.nav-link:disabled{color:var(--bs-nav-link-disabled-color);pointer-events:none;cursor:default}.nav-tabs{--bs-nav-tabs-border-width: var(--bs-border-width);--bs-nav-tabs-border-color: var(--bs-border-color);--bs-nav-tabs-border-radius: var(--bs-border-radius);--bs-nav-tabs-link-hover-border-color: var(--bs-secondary-bg) var(--bs-secondary-bg) var(--bs-border-color);--bs-nav-tabs-link-active-color: var(--bs-emphasis-color);--bs-nav-tabs-link-active-bg: var(--bs-body-bg);--bs-nav-tabs-link-active-border-color: var(--bs-border-color) var(--bs-border-color) var(--bs-body-bg);border-bottom:var(--bs-nav-tabs-border-width) solid var(--bs-nav-tabs-border-color)}.nav-tabs .nav-link{margin-bottom:calc(-1 * var(--bs-nav-tabs-border-width));border:var(--bs-nav-tabs-border-width) solid transparent;border-top-left-radius:var(--bs-nav-tabs-border-radius);border-top-right-radius:var(--bs-nav-tabs-border-radius)}.nav-tabs .nav-link:hover,.nav-tabs .nav-link:focus{isolation:isolate;border-color:var(--bs-nav-tabs-link-hover-border-color)}.nav-tabs .nav-link.active,.nav-tabs .nav-item.show .nav-link{color:var(--bs-nav-tabs-link-active-color);background-color:var(--bs-nav-tabs-link-active-bg);border-color:var(--bs-nav-tabs-link-active-border-color)}.nav-tabs .dropdown-menu{margin-top:calc(-1 * 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.25rem;--bs-navbar-toggler-padding-x: .75rem;--bs-navbar-toggler-font-size: 1.25rem;--bs-navbar-toggler-icon-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'%3e%3cpath stroke='rgba%28255,255,255,0.75%29' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/%3e%3c/svg%3e");--bs-navbar-toggler-border-color: rgba(255,255,255,0.15);--bs-navbar-toggler-border-radius: var(--bs-border-radius);--bs-navbar-toggler-focus-width: .25rem;--bs-navbar-toggler-transition: box-shadow 0.15s ease-in-out;position:relative;display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;align-items:center;-webkit-align-items:center;justify-content:space-between;-webkit-justify-content:space-between;padding:var(--bs-navbar-padding-y) 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var(--bs-navbar-hover-color);--bs-nav-link-disabled-color: var(--bs-navbar-disabled-color);display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;padding-left:0;margin-bottom:0;list-style:none}.navbar-nav .nav-link.active,.navbar-nav .nav-link.show{color:var(--bs-navbar-active-color)}.navbar-nav .dropdown-menu{position:static}.navbar-text{padding-top:.5rem;padding-bottom:.5rem;color:var(--bs-navbar-color)}.navbar-text a,.navbar-text a:hover,.navbar-text a:focus{color:var(--bs-navbar-active-color)}.navbar-collapse{flex-basis:100%;-webkit-flex-basis:100%;flex-grow:1;-webkit-flex-grow:1;align-items:center;-webkit-align-items:center}.navbar-toggler{padding:var(--bs-navbar-toggler-padding-y) var(--bs-navbar-toggler-padding-x);font-size:var(--bs-navbar-toggler-font-size);line-height:1;color:var(--bs-navbar-color);background-color:transparent;border:var(--bs-border-width) solid 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.navbar-nav{flex-direction:row;-webkit-flex-direction:row}.navbar-expand-md .navbar-nav .dropdown-menu{position:absolute}.navbar-expand-md .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand-md .navbar-nav-scroll{overflow:visible}.navbar-expand-md .navbar-collapse{display:flex !important;display:-webkit-flex !important;flex-basis:auto;-webkit-flex-basis:auto}.navbar-expand-md .navbar-toggler{display:none}.navbar-expand-md .offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:transparent !important;border:0 !important;transform:none !important;transition:none}.navbar-expand-md .offcanvas .offcanvas-header{display:none}.navbar-expand-md .offcanvas .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible}}@media (min-width: 992px){.navbar-expand-lg{flex-wrap:nowrap;-webkit-flex-wrap:nowrap;justify-content:flex-start;-webkit-justify-content:flex-start}.navbar-expand-lg .navbar-nav{flex-direction:row;-webkit-flex-direction:row}.navbar-expand-lg .navbar-nav .dropdown-menu{position:absolute}.navbar-expand-lg .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand-lg .navbar-nav-scroll{overflow:visible}.navbar-expand-lg .navbar-collapse{display:flex !important;display:-webkit-flex !important;flex-basis:auto;-webkit-flex-basis:auto}.navbar-expand-lg .navbar-toggler{display:none}.navbar-expand-lg .offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:transparent !important;border:0 !important;transform:none !important;transition:none}.navbar-expand-lg .offcanvas .offcanvas-header{display:none}.navbar-expand-lg .offcanvas 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!important;transform:none !important;transition:none}.navbar-expand-xl .offcanvas .offcanvas-header{display:none}.navbar-expand-xl .offcanvas .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible}}@media (min-width: 1400px){.navbar-expand-xxl{flex-wrap:nowrap;-webkit-flex-wrap:nowrap;justify-content:flex-start;-webkit-justify-content:flex-start}.navbar-expand-xxl .navbar-nav{flex-direction:row;-webkit-flex-direction:row}.navbar-expand-xxl .navbar-nav .dropdown-menu{position:absolute}.navbar-expand-xxl .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand-xxl .navbar-nav-scroll{overflow:visible}.navbar-expand-xxl .navbar-collapse{display:flex !important;display:-webkit-flex !important;flex-basis:auto;-webkit-flex-basis:auto}.navbar-expand-xxl .navbar-toggler{display:none}.navbar-expand-xxl .offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:transparent !important;border:0 !important;transform:none !important;transition:none}.navbar-expand-xxl .offcanvas .offcanvas-header{display:none}.navbar-expand-xxl .offcanvas .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible}}.navbar-expand{flex-wrap:nowrap;-webkit-flex-wrap:nowrap;justify-content:flex-start;-webkit-justify-content:flex-start}.navbar-expand .navbar-nav{flex-direction:row;-webkit-flex-direction:row}.navbar-expand .navbar-nav .dropdown-menu{position:absolute}.navbar-expand .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand .navbar-nav-scroll{overflow:visible}.navbar-expand .navbar-collapse{display:flex !important;display:-webkit-flex !important;flex-basis:auto;-webkit-flex-basis:auto}.navbar-expand .navbar-toggler{display:none}.navbar-expand .offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:transparent !important;border:0 !important;transform:none !important;transition:none}.navbar-expand .offcanvas .offcanvas-header{display:none}.navbar-expand .offcanvas .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible}.navbar-dark,.navbar[data-bs-theme="dark"]{--bs-navbar-color: rgba(255,255,255,0.55);--bs-navbar-hover-color: rgba(255,255,255,0.75);--bs-navbar-disabled-color: rgba(255,255,255,0.25);--bs-navbar-active-color: #fff;--bs-navbar-brand-color: #fff;--bs-navbar-brand-hover-color: #fff;--bs-navbar-toggler-border-color: rgba(255,255,255,0.1);--bs-navbar-toggler-icon-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'%3e%3cpath stroke='rgba%28255,255,255,0.75%29' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/%3e%3c/svg%3e")}[data-bs-theme="dark"] .navbar-toggler-icon{--bs-navbar-toggler-icon-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'%3e%3cpath stroke='rgba%28255,255,255,0.75%29' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/%3e%3c/svg%3e")}.card{--bs-card-spacer-y: 1rem;--bs-card-spacer-x: 1rem;--bs-card-title-spacer-y: .5rem;--bs-card-title-color: ;--bs-card-subtitle-color: ;--bs-card-border-width: var(--bs-border-width);--bs-card-border-color: var(--bs-border-color-translucent);--bs-card-border-radius: var(--bs-border-radius);--bs-card-box-shadow: ;--bs-card-inner-border-radius: calc(var(--bs-border-radius) - (var(--bs-border-width)));--bs-card-cap-padding-y: .5rem;--bs-card-cap-padding-x: 1rem;--bs-card-cap-bg: rgba(var(--bs-body-color-rgb), 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var(--bs-card-border-color);border-radius:var(--bs-card-border-radius)}.card>hr{margin-right:0;margin-left:0}.card>.list-group{border-top:inherit;border-bottom:inherit}.card>.list-group:first-child{border-top-width:0;border-top-left-radius:var(--bs-card-inner-border-radius);border-top-right-radius:var(--bs-card-inner-border-radius)}.card>.list-group:last-child{border-bottom-width:0;border-bottom-right-radius:var(--bs-card-inner-border-radius);border-bottom-left-radius:var(--bs-card-inner-border-radius)}.card>.card-header+.list-group,.card>.list-group+.card-footer{border-top:0}.card-body{flex:1 1 auto;-webkit-flex:1 1 auto;padding:var(--bs-card-spacer-y) var(--bs-card-spacer-x);color:var(--bs-card-color)}.card-title{margin-bottom:var(--bs-card-title-spacer-y);color:var(--bs-card-title-color)}.card-subtitle{margin-top:calc(-.5 * var(--bs-card-title-spacer-y));margin-bottom:0;color:var(--bs-card-subtitle-color)}.card-text:last-child{margin-bottom:0}.card-link+.card-link{margin-left:var(--bs-card-spacer-x)}.card-header{padding:var(--bs-card-cap-padding-y) var(--bs-card-cap-padding-x);margin-bottom:0;color:var(--bs-card-cap-color);background-color:var(--bs-card-cap-bg);border-bottom:var(--bs-card-border-width) solid var(--bs-card-border-color)}.card-header:first-child{border-radius:var(--bs-card-inner-border-radius) var(--bs-card-inner-border-radius) 0 0}.card-footer{padding:var(--bs-card-cap-padding-y) var(--bs-card-cap-padding-x);color:var(--bs-card-cap-color);background-color:var(--bs-card-cap-bg);border-top:var(--bs-card-border-width) solid var(--bs-card-border-color)}.card-footer:last-child{border-radius:0 0 var(--bs-card-inner-border-radius) var(--bs-card-inner-border-radius)}.card-header-tabs{margin-right:calc(-.5 * var(--bs-card-cap-padding-x));margin-bottom:calc(-1 * 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wrap;-webkit-flex-flow:row wrap}.card-group>.card{flex:1 0 0%;-webkit-flex:1 0 0%;margin-bottom:0}.card-group>.card+.card{margin-left:0;border-left:0}.card-group>.card:not(:last-child){border-top-right-radius:0;border-bottom-right-radius:0}.card-group>.card:not(:last-child) .card-img-top,.card-group>.card:not(:last-child) .card-header{border-top-right-radius:0}.card-group>.card:not(:last-child) .card-img-bottom,.card-group>.card:not(:last-child) .card-footer{border-bottom-right-radius:0}.card-group>.card:not(:first-child){border-top-left-radius:0;border-bottom-left-radius:0}.card-group>.card:not(:first-child) .card-img-top,.card-group>.card:not(:first-child) .card-header{border-top-left-radius:0}.card-group>.card:not(:first-child) .card-img-bottom,.card-group>.card:not(:first-child) .card-footer{border-bottom-left-radius:0}}.accordion{--bs-accordion-color: var(--bs-body-color);--bs-accordion-bg: var(--bs-body-bg);--bs-accordion-transition: color 0.15s ease-in-out,background-color 0.15s 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url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%230c1e39'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e");--bs-accordion-btn-focus-border-color: #8fa5c7;--bs-accordion-btn-focus-box-shadow: 0 0 0 .25rem rgba(30,74,143,0.25);--bs-accordion-body-padding-x: 1.25rem;--bs-accordion-body-padding-y: 1rem;--bs-accordion-active-color: var(--bs-primary-text-emphasis);--bs-accordion-active-bg: var(--bs-primary-bg-subtle)}.accordion-button{position:relative;display:flex;display:-webkit-flex;align-items:center;-webkit-align-items:center;width:100%;padding:var(--bs-accordion-btn-padding-y) var(--bs-accordion-btn-padding-x);font-size:1rem;color:var(--bs-accordion-btn-color);text-align:left;background-color:var(--bs-accordion-btn-bg);border:0;border-radius:0;overflow-anchor:none;transition:var(--bs-accordion-transition)}@media (prefers-reduced-motion: reduce){.accordion-button{transition:none}}.accordion-button:not(.collapsed){color:var(--bs-accordion-active-color);background-color:var(--bs-accordion-active-bg);box-shadow:inset 0 calc(-1 * var(--bs-accordion-border-width)) 0 var(--bs-accordion-border-color)}.accordion-button:not(.collapsed)::after{background-image:var(--bs-accordion-btn-active-icon);transform:var(--bs-accordion-btn-icon-transform)}.accordion-button::after{flex-shrink:0;-webkit-flex-shrink:0;width:var(--bs-accordion-btn-icon-width);height:var(--bs-accordion-btn-icon-width);margin-left:auto;content:"";background-image:var(--bs-accordion-btn-icon);background-repeat:no-repeat;background-size:var(--bs-accordion-btn-icon-width);transition:var(--bs-accordion-btn-icon-transition)}@media (prefers-reduced-motion: reduce){.accordion-button::after{transition:none}}.accordion-button:hover{z-index:2}.accordion-button:focus{z-index:3;border-color:var(--bs-accordion-btn-focus-border-color);outline:0;box-shadow:var(--bs-accordion-btn-focus-box-shadow)}.accordion-header{margin-bottom:0}.accordion-item{color:var(--bs-accordion-color);background-color:var(--bs-accordion-bg);border:var(--bs-accordion-border-width) solid var(--bs-accordion-border-color)}.accordion-item:first-of-type{border-top-left-radius:var(--bs-accordion-border-radius);border-top-right-radius:var(--bs-accordion-border-radius)}.accordion-item:first-of-type .accordion-button{border-top-left-radius:var(--bs-accordion-inner-border-radius);border-top-right-radius:var(--bs-accordion-inner-border-radius)}.accordion-item:not(:first-of-type){border-top:0}.accordion-item:last-of-type{border-bottom-right-radius:var(--bs-accordion-border-radius);border-bottom-left-radius:var(--bs-accordion-border-radius)}.accordion-item:last-of-type .accordion-button.collapsed{border-bottom-right-radius:var(--bs-accordion-inner-border-radius);border-bottom-left-radius:var(--bs-accordion-inner-border-radius)}.accordion-item:last-of-type .accordion-collapse{border-bottom-right-radius:var(--bs-accordion-border-radius);border-bottom-left-radius:var(--bs-accordion-border-radius)}.accordion-body{padding:var(--bs-accordion-body-padding-y) var(--bs-accordion-body-padding-x)}.accordion-flush .accordion-collapse{border-width:0}.accordion-flush .accordion-item{border-right:0;border-left:0;border-radius:0}.accordion-flush .accordion-item:first-child{border-top:0}.accordion-flush .accordion-item:last-child{border-bottom:0}.accordion-flush .accordion-item .accordion-button,.accordion-flush .accordion-item .accordion-button.collapsed{border-radius:0}[data-bs-theme="dark"] .accordion-button::after{--bs-accordion-btn-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%237892bc'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e");--bs-accordion-btn-active-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%237892bc'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e")}.breadcrumb{--bs-breadcrumb-padding-x: 0;--bs-breadcrumb-padding-y: 0;--bs-breadcrumb-margin-bottom: 1rem;--bs-breadcrumb-bg: ;--bs-breadcrumb-border-radius: ;--bs-breadcrumb-divider-color: var(--bs-secondary-color);--bs-breadcrumb-item-padding-x: .5rem;--bs-breadcrumb-item-active-color: var(--bs-secondary-color);display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;padding:var(--bs-breadcrumb-padding-y) var(--bs-breadcrumb-padding-x);margin-bottom:var(--bs-breadcrumb-margin-bottom);font-size:var(--bs-breadcrumb-font-size);list-style:none;background-color:var(--bs-breadcrumb-bg);border-radius:var(--bs-breadcrumb-border-radius)}.breadcrumb-item+.breadcrumb-item{padding-left:var(--bs-breadcrumb-item-padding-x)}.breadcrumb-item+.breadcrumb-item::before{float:left;padding-right:var(--bs-breadcrumb-item-padding-x);color:var(--bs-breadcrumb-divider-color);content:var(--bs-breadcrumb-divider, "/") /* rtl: var(--bs-breadcrumb-divider, "/") */}.breadcrumb-item.active{color:var(--bs-breadcrumb-item-active-color)}.pagination{--bs-pagination-padding-x: .75rem;--bs-pagination-padding-y: .375rem;--bs-pagination-font-size:1rem;--bs-pagination-color: var(--bs-link-color);--bs-pagination-bg: var(--bs-body-bg);--bs-pagination-border-width: var(--bs-border-width);--bs-pagination-border-color: var(--bs-border-color);--bs-pagination-border-radius: var(--bs-border-radius);--bs-pagination-hover-color: var(--bs-link-hover-color);--bs-pagination-hover-bg: var(--bs-tertiary-bg);--bs-pagination-hover-border-color: var(--bs-border-color);--bs-pagination-focus-color: var(--bs-link-hover-color);--bs-pagination-focus-bg: var(--bs-secondary-bg);--bs-pagination-focus-box-shadow: 0 0 0 .25rem rgba(30,74,143,0.25);--bs-pagination-active-color: #fff;--bs-pagination-active-bg: #1E4A8F;--bs-pagination-active-border-color: #1E4A8F;--bs-pagination-disabled-color: var(--bs-secondary-color);--bs-pagination-disabled-bg: var(--bs-secondary-bg);--bs-pagination-disabled-border-color: var(--bs-border-color);display:flex;display:-webkit-flex;padding-left:0;list-style:none}.page-link{position:relative;display:block;padding:var(--bs-pagination-padding-y) var(--bs-pagination-padding-x);font-size:var(--bs-pagination-font-size);color:var(--bs-pagination-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;background-color:var(--bs-pagination-bg);border:var(--bs-pagination-border-width) solid var(--bs-pagination-border-color);transition:color 0.15s ease-in-out,background-color 0.15s ease-in-out,border-color 0.15s ease-in-out,box-shadow 0.15s ease-in-out}@media (prefers-reduced-motion: reduce){.page-link{transition:none}}.page-link:hover{z-index:2;color:var(--bs-pagination-hover-color);background-color:var(--bs-pagination-hover-bg);border-color:var(--bs-pagination-hover-border-color)}.page-link:focus{z-index:3;color:var(--bs-pagination-focus-color);background-color:var(--bs-pagination-focus-bg);outline:0;box-shadow:var(--bs-pagination-focus-box-shadow)}.page-link.active,.active>.page-link{z-index:3;color:var(--bs-pagination-active-color);background-color:var(--bs-pagination-active-bg);border-color:var(--bs-pagination-active-border-color)}.page-link.disabled,.disabled>.page-link{color:var(--bs-pagination-disabled-color);pointer-events:none;background-color:var(--bs-pagination-disabled-bg);border-color:var(--bs-pagination-disabled-border-color)}.page-item:not(:first-child) .page-link{margin-left:calc(var(--bs-border-width) * -1)}.page-item:first-child .page-link{border-top-left-radius:var(--bs-pagination-border-radius);border-bottom-left-radius:var(--bs-pagination-border-radius)}.page-item:last-child .page-link{border-top-right-radius:var(--bs-pagination-border-radius);border-bottom-right-radius:var(--bs-pagination-border-radius)}.pagination-lg{--bs-pagination-padding-x: 1.5rem;--bs-pagination-padding-y: .75rem;--bs-pagination-font-size:1.25rem;--bs-pagination-border-radius: var(--bs-border-radius-lg)}.pagination-sm{--bs-pagination-padding-x: .5rem;--bs-pagination-padding-y: .25rem;--bs-pagination-font-size:.875rem;--bs-pagination-border-radius: var(--bs-border-radius-sm)}.badge{--bs-badge-padding-x: .65em;--bs-badge-padding-y: .35em;--bs-badge-font-size:.75em;--bs-badge-font-weight: 700;--bs-badge-color: #fff;--bs-badge-border-radius: var(--bs-border-radius);display:inline-block;padding:var(--bs-badge-padding-y) var(--bs-badge-padding-x);font-size:var(--bs-badge-font-size);font-weight:var(--bs-badge-font-weight);line-height:1;color:var(--bs-badge-color);text-align:center;white-space:nowrap;vertical-align:baseline;border-radius:var(--bs-badge-border-radius)}.badge:empty{display:none}.btn .badge{position:relative;top:-1px}.alert{--bs-alert-bg: transparent;--bs-alert-padding-x: 1rem;--bs-alert-padding-y: 1rem;--bs-alert-margin-bottom: 1rem;--bs-alert-color: inherit;--bs-alert-border-color: transparent;--bs-alert-border: var(--bs-border-width) solid var(--bs-alert-border-color);--bs-alert-border-radius: var(--bs-border-radius);--bs-alert-link-color: inherit;position:relative;padding:var(--bs-alert-padding-y) var(--bs-alert-padding-x);margin-bottom:var(--bs-alert-margin-bottom);color:var(--bs-alert-color);background-color:var(--bs-alert-bg);border:var(--bs-alert-border);border-radius:var(--bs-alert-border-radius)}.alert-heading{color:inherit}.alert-link{font-weight:700;color:var(--bs-alert-link-color)}.alert-dismissible{padding-right:3rem}.alert-dismissible .btn-close{position:absolute;top:0;right:0;z-index:2;padding:1.25rem 1rem}.alert-default{--bs-alert-color: var(--bs-default-text-emphasis);--bs-alert-bg: var(--bs-default-bg-subtle);--bs-alert-border-color: var(--bs-default-border-subtle);--bs-alert-link-color: var(--bs-default-text-emphasis)}.alert-primary{--bs-alert-color: var(--bs-primary-text-emphasis);--bs-alert-bg: var(--bs-primary-bg-subtle);--bs-alert-border-color: var(--bs-primary-border-subtle);--bs-alert-link-color: var(--bs-primary-text-emphasis)}.alert-secondary{--bs-alert-color: var(--bs-secondary-text-emphasis);--bs-alert-bg: var(--bs-secondary-bg-subtle);--bs-alert-border-color: var(--bs-secondary-border-subtle);--bs-alert-link-color: var(--bs-secondary-text-emphasis)}.alert-success{--bs-alert-color: var(--bs-success-text-emphasis);--bs-alert-bg: var(--bs-success-bg-subtle);--bs-alert-border-color: var(--bs-success-border-subtle);--bs-alert-link-color: var(--bs-success-text-emphasis)}.alert-info{--bs-alert-color: var(--bs-info-text-emphasis);--bs-alert-bg: var(--bs-info-bg-subtle);--bs-alert-border-color: var(--bs-info-border-subtle);--bs-alert-link-color: var(--bs-info-text-emphasis)}.alert-warning{--bs-alert-color: var(--bs-warning-text-emphasis);--bs-alert-bg: var(--bs-warning-bg-subtle);--bs-alert-border-color: var(--bs-warning-border-subtle);--bs-alert-link-color: var(--bs-warning-text-emphasis)}.alert-danger{--bs-alert-color: var(--bs-danger-text-emphasis);--bs-alert-bg: var(--bs-danger-bg-subtle);--bs-alert-border-color: var(--bs-danger-border-subtle);--bs-alert-link-color: var(--bs-danger-text-emphasis)}.alert-light{--bs-alert-color: var(--bs-light-text-emphasis);--bs-alert-bg: var(--bs-light-bg-subtle);--bs-alert-border-color: var(--bs-light-border-subtle);--bs-alert-link-color: var(--bs-light-text-emphasis)}.alert-dark{--bs-alert-color: var(--bs-dark-text-emphasis);--bs-alert-bg: var(--bs-dark-bg-subtle);--bs-alert-border-color: var(--bs-dark-border-subtle);--bs-alert-link-color: var(--bs-dark-text-emphasis)}@keyframes progress-bar-stripes{0%{background-position-x:1rem}}.progress,.progress-stacked{--bs-progress-height: 1rem;--bs-progress-font-size:.75rem;--bs-progress-bg: var(--bs-secondary-bg);--bs-progress-border-radius: var(--bs-border-radius);--bs-progress-box-shadow: var(--bs-box-shadow-inset);--bs-progress-bar-color: #fff;--bs-progress-bar-bg: #1E4A8F;--bs-progress-bar-transition: width 0.6s ease;display:flex;display:-webkit-flex;height:var(--bs-progress-height);overflow:hidden;font-size:var(--bs-progress-font-size);background-color:var(--bs-progress-bg);border-radius:var(--bs-progress-border-radius)}.progress-bar{display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;justify-content:center;-webkit-justify-content:center;overflow:hidden;color:var(--bs-progress-bar-color);text-align:center;white-space:nowrap;background-color:var(--bs-progress-bar-bg);transition:var(--bs-progress-bar-transition)}@media (prefers-reduced-motion: reduce){.progress-bar{transition:none}}.progress-bar-striped{background-image:linear-gradient(45deg, rgba(255,255,255,0.15) 25%, transparent 25%, transparent 50%, rgba(255,255,255,0.15) 50%, rgba(255,255,255,0.15) 75%, transparent 75%, transparent);background-size:var(--bs-progress-height) var(--bs-progress-height)}.progress-stacked>.progress{overflow:visible}.progress-stacked>.progress>.progress-bar{width:100%}.progress-bar-animated{animation:1s linear infinite progress-bar-stripes}@media (prefers-reduced-motion: reduce){.progress-bar-animated{animation:none}}.list-group{--bs-list-group-color: var(--bs-body-color);--bs-list-group-bg: var(--bs-body-bg);--bs-list-group-border-color: var(--bs-border-color);--bs-list-group-border-width: var(--bs-border-width);--bs-list-group-border-radius: var(--bs-border-radius);--bs-list-group-item-padding-x: 1rem;--bs-list-group-item-padding-y: .5rem;--bs-list-group-action-color: var(--bs-secondary-color);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-tertiary-bg);--bs-list-group-action-active-color: var(--bs-body-color);--bs-list-group-action-active-bg: var(--bs-secondary-bg);--bs-list-group-disabled-color: var(--bs-secondary-color);--bs-list-group-disabled-bg: 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#772953;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #772953;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #772953;--bs-btn-bg: transparent;--bs-gradient: none}.btn-link{--bs-btn-font-weight: 400;--bs-btn-color: var(--bs-link-color);--bs-btn-bg: transparent;--bs-btn-border-color: transparent;--bs-btn-hover-color: var(--bs-link-hover-color);--bs-btn-hover-border-color: transparent;--bs-btn-active-color: var(--bs-link-hover-color);--bs-btn-active-border-color: transparent;--bs-btn-disabled-color: #868e96;--bs-btn-disabled-border-color: transparent;--bs-btn-box-shadow: 0 0 0 #000;--bs-btn-focus-shadow-rgb: 64,101,160;text-decoration:underline;-webkit-text-decoration:underline;-moz-text-decoration:underline;-ms-text-decoration:underline;-o-text-decoration:underline}.btn-link:focus-visible{color:var(--bs-btn-color)}.btn-link:hover{color:var(--bs-btn-hover-color)}.btn-lg,.btn-group-lg>.btn{--bs-btn-padding-y: .5rem;--bs-btn-padding-x: 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transparent;border-bottom:0;border-left:.3em solid transparent}.dropdown-toggle:empty::after{margin-left:0}.dropdown-menu{--bs-dropdown-zindex: 1000;--bs-dropdown-min-width: 10rem;--bs-dropdown-padding-x: 0;--bs-dropdown-padding-y: .5rem;--bs-dropdown-spacer: .125rem;--bs-dropdown-font-size:1rem;--bs-dropdown-color: var(--bs-body-color);--bs-dropdown-bg: var(--bs-body-bg);--bs-dropdown-border-color: var(--bs-border-color-translucent);--bs-dropdown-border-radius: var(--bs-border-radius);--bs-dropdown-border-width: var(--bs-border-width);--bs-dropdown-inner-border-radius: calc(var(--bs-border-radius) - var(--bs-border-width));--bs-dropdown-divider-bg: var(--bs-border-color-translucent);--bs-dropdown-divider-margin-y: .5rem;--bs-dropdown-box-shadow: 0 0.5rem 1rem rgba(0,0,0,0.15);--bs-dropdown-link-color: var(--bs-body-color);--bs-dropdown-link-hover-color: var(--bs-body-color);--bs-dropdown-link-hover-bg: var(--bs-tertiary-bg);--bs-dropdown-link-active-color: #fff;--bs-dropdown-link-active-bg: #1E4A8F;--bs-dropdown-link-disabled-color: var(--bs-tertiary-color);--bs-dropdown-item-padding-x: 1rem;--bs-dropdown-item-padding-y: .25rem;--bs-dropdown-header-color: #868e96;--bs-dropdown-header-padding-x: 1rem;--bs-dropdown-header-padding-y: .5rem;position:absolute;z-index:var(--bs-dropdown-zindex);display:none;min-width:var(--bs-dropdown-min-width);padding:var(--bs-dropdown-padding-y) var(--bs-dropdown-padding-x);margin:0;font-size:var(--bs-dropdown-font-size);color:var(--bs-dropdown-color);text-align:left;list-style:none;background-color:var(--bs-dropdown-bg);background-clip:padding-box;border:var(--bs-dropdown-border-width) solid var(--bs-dropdown-border-color);border-radius:var(--bs-dropdown-border-radius)}.dropdown-menu[data-bs-popper]{top:100%;left:0;margin-top:var(--bs-dropdown-spacer)}.dropdown-menu-start{--bs-position: start}.dropdown-menu-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-end{--bs-position: 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1400px){.dropdown-menu-xxl-start{--bs-position: start}.dropdown-menu-xxl-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-xxl-end{--bs-position: end}.dropdown-menu-xxl-end[data-bs-popper]{right:0;left:auto}}.dropup .dropdown-menu[data-bs-popper]{top:auto;bottom:100%;margin-top:0;margin-bottom:var(--bs-dropdown-spacer)}.dropup .dropdown-toggle::after{display:inline-block;margin-left:.255em;vertical-align:.255em;content:"";border-top:0;border-right:.3em solid transparent;border-bottom:.3em solid;border-left:.3em solid transparent}.dropup .dropdown-toggle:empty::after{margin-left:0}.dropend .dropdown-menu[data-bs-popper]{top:0;right:auto;left:100%;margin-top:0;margin-left:var(--bs-dropdown-spacer)}.dropend .dropdown-toggle::after{display:inline-block;margin-left:.255em;vertical-align:.255em;content:"";border-top:.3em solid transparent;border-right:0;border-bottom:.3em solid transparent;border-left:.3em solid}.dropend .dropdown-toggle:empty::after{margin-left:0}.dropend .dropdown-toggle::after{vertical-align:0}.dropstart .dropdown-menu[data-bs-popper]{top:0;right:100%;left:auto;margin-top:0;margin-right:var(--bs-dropdown-spacer)}.dropstart .dropdown-toggle::after{display:inline-block;margin-left:.255em;vertical-align:.255em;content:""}.dropstart .dropdown-toggle::after{display:none}.dropstart .dropdown-toggle::before{display:inline-block;margin-right:.255em;vertical-align:.255em;content:"";border-top:.3em solid transparent;border-right:.3em solid;border-bottom:.3em solid transparent}.dropstart .dropdown-toggle:empty::after{margin-left:0}.dropstart .dropdown-toggle::before{vertical-align:0}.dropdown-divider{height:0;margin:var(--bs-dropdown-divider-margin-y) 0;overflow:hidden;border-top:1px solid var(--bs-dropdown-divider-bg);opacity:1}.dropdown-item{display:block;width:100%;padding:var(--bs-dropdown-item-padding-y) 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var(--bs-dropdown-header-padding-x);margin-bottom:0;font-size:.875rem;color:var(--bs-dropdown-header-color);white-space:nowrap}.dropdown-item-text{display:block;padding:var(--bs-dropdown-item-padding-y) var(--bs-dropdown-item-padding-x);color:var(--bs-dropdown-link-color)}.dropdown-menu-dark{--bs-dropdown-color: #dee2e6;--bs-dropdown-bg: #333;--bs-dropdown-border-color: var(--bs-border-color-translucent);--bs-dropdown-box-shadow: ;--bs-dropdown-link-color: #dee2e6;--bs-dropdown-link-hover-color: #fff;--bs-dropdown-divider-bg: var(--bs-border-color-translucent);--bs-dropdown-link-hover-bg: rgba(255,255,255,0.15);--bs-dropdown-link-active-color: #fff;--bs-dropdown-link-active-bg: #1E4A8F;--bs-dropdown-link-disabled-color: #aea79f;--bs-dropdown-header-color: #aea79f}.btn-group,.btn-group-vertical{position:relative;display:inline-flex;vertical-align:middle}.btn-group>.btn,.btn-group-vertical>.btn{position:relative;flex:1 1 auto;-webkit-flex:1 1 auto}.btn-group>.btn-check:checked+.btn,.btn-group>.btn-check:focus+.btn,.btn-group>.btn:hover,.btn-group>.btn:focus,.btn-group>.btn:active,.btn-group>.btn.active,.btn-group-vertical>.btn-check:checked+.btn,.btn-group-vertical>.btn-check:focus+.btn,.btn-group-vertical>.btn:hover,.btn-group-vertical>.btn:focus,.btn-group-vertical>.btn:active,.btn-group-vertical>.btn.active{z-index:1}.btn-toolbar{display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;justify-content:flex-start;-webkit-justify-content:flex-start}.btn-toolbar .input-group{width:auto}.btn-group{border-radius:var(--bs-border-radius)}.btn-group>:not(.btn-check:first-child)+.btn,.btn-group>.btn-group:not(:first-child){margin-left:calc(var(--bs-border-width) * -1)}.btn-group>.btn:not(:last-child):not(.dropdown-toggle),.btn-group>.btn.dropdown-toggle-split:first-child,.btn-group>.btn-group:not(:last-child)>.btn{border-top-right-radius:0;border-bottom-right-radius:0}.btn-group>.btn:nth-child(n + 3),.btn-group>:not(.btn-check)+.btn,.btn-group>.btn-group:not(:first-child)>.btn{border-top-left-radius:0;border-bottom-left-radius:0}.dropdown-toggle-split{padding-right:.5625rem;padding-left:.5625rem}.dropdown-toggle-split::after,.dropup .dropdown-toggle-split::after,.dropend .dropdown-toggle-split::after{margin-left:0}.dropstart .dropdown-toggle-split::before{margin-right:0}.btn-sm+.dropdown-toggle-split,.btn-group-sm>.btn+.dropdown-toggle-split{padding-right:.375rem;padding-left:.375rem}.btn-lg+.dropdown-toggle-split,.btn-group-lg>.btn+.dropdown-toggle-split{padding-right:.75rem;padding-left:.75rem}.btn-group-vertical{flex-direction:column;-webkit-flex-direction:column;align-items:flex-start;-webkit-align-items:flex-start;justify-content:center;-webkit-justify-content:center}.btn-group-vertical>.btn,.btn-group-vertical>.btn-group{width:100%}.btn-group-vertical>.btn:not(:first-child),.btn-group-vertical>.btn-group:not(:first-child){margin-top:calc(var(--bs-border-width) * 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var(--bs-border-color);--bs-nav-tabs-link-active-color: var(--bs-emphasis-color);--bs-nav-tabs-link-active-bg: var(--bs-body-bg);--bs-nav-tabs-link-active-border-color: var(--bs-border-color) var(--bs-border-color) var(--bs-body-bg);border-bottom:var(--bs-nav-tabs-border-width) solid var(--bs-nav-tabs-border-color)}.nav-tabs .nav-link{margin-bottom:calc(-1 * var(--bs-nav-tabs-border-width));border:var(--bs-nav-tabs-border-width) solid transparent;border-top-left-radius:var(--bs-nav-tabs-border-radius);border-top-right-radius:var(--bs-nav-tabs-border-radius)}.nav-tabs .nav-link:hover,.nav-tabs .nav-link:focus{isolation:isolate;border-color:var(--bs-nav-tabs-link-hover-border-color)}.nav-tabs .nav-link.active,.nav-tabs .nav-item.show .nav-link{color:var(--bs-nav-tabs-link-active-color);background-color:var(--bs-nav-tabs-link-active-bg);border-color:var(--bs-nav-tabs-link-active-border-color)}.nav-tabs .dropdown-menu{margin-top:calc(-1 * 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!important;flex-basis:auto;-webkit-flex-basis:auto}.navbar-expand .navbar-toggler{display:none}.navbar-expand .offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:transparent !important;border:0 !important;transform:none !important;transition:none}.navbar-expand .offcanvas .offcanvas-header{display:none}.navbar-expand .offcanvas .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible}.navbar-dark,:where([data-bs-theme="dark"]) .navbar,.navbar[data-bs-theme="dark"]{--bs-navbar-color: rgba(var(--bs-emphasis-color-rgb), 0.55);--bs-navbar-hover-color: rgba(var(--bs-emphasis-color-rgb), 0.75);--bs-navbar-disabled-color: rgba(var(--bs-emphasis-color-rgb), 0.25);--bs-navbar-active-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-brand-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-brand-hover-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-toggler-border-color: rgba(var(--bs-emphasis-color-rgb), 0.1);--bs-navbar-toggler-icon-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'%3e%3cpath stroke='rgba%28255,255,255,0.75%29' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/%3e%3c/svg%3e")}:where(.navbar[data-bs-theme="dark"] .navbar-toggler-icon){--bs-navbar-toggler-icon-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'%3e%3cpath stroke='rgba%28255,255,255,0.75%29' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/%3e%3c/svg%3e")}[data-bs-theme="dark"] :where(.navbar:not([data-bs-theme="light"]) .navbar-toggler-icon){--bs-navbar-toggler-icon-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'%3e%3cpath stroke='rgba%28255,255,255,0.75%29' stroke-linecap='round' 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.5rem;--bs-card-title-color: ;--bs-card-subtitle-color: ;--bs-card-border-width: var(--bs-border-width);--bs-card-border-color: var(--bs-border-color-translucent);--bs-card-border-radius: var(--bs-border-radius);--bs-card-box-shadow: ;--bs-card-inner-border-radius: calc(var(--bs-border-radius) - (var(--bs-border-width)));--bs-card-cap-padding-y: .5rem;--bs-card-cap-padding-x: 1rem;--bs-card-cap-bg: rgba(var(--bs-body-color-rgb), 0.03);--bs-card-cap-color: ;--bs-card-height: ;--bs-card-color: ;--bs-card-bg: var(--bs-body-bg);--bs-card-img-overlay-padding: 1rem;--bs-card-group-margin: .75rem;position:relative;display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;min-width:0;height:var(--bs-card-height);color:var(--bs-body-color);word-wrap:break-word;background-color:var(--bs-card-bg);background-clip:border-box;border:var(--bs-card-border-width) solid var(--bs-card-border-color);border-radius:var(--bs-card-border-radius)}.card>hr{margin-right:0;margin-left:0}.card>.list-group{border-top:inherit;border-bottom:inherit}.card>.list-group:first-child{border-top-width:0;border-top-left-radius:var(--bs-card-inner-border-radius);border-top-right-radius:var(--bs-card-inner-border-radius)}.card>.list-group:last-child{border-bottom-width:0;border-bottom-right-radius:var(--bs-card-inner-border-radius);border-bottom-left-radius:var(--bs-card-inner-border-radius)}.card>.card-header+.list-group,.card>.list-group+.card-footer{border-top:0}.card-body{flex:1 1 auto;-webkit-flex:1 1 auto;padding:var(--bs-card-spacer-y) var(--bs-card-spacer-x);color:var(--bs-card-color)}.card-title{margin-bottom:var(--bs-card-title-spacer-y);color:var(--bs-card-title-color)}.card-subtitle{margin-top:calc(-.5 * 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wrap;-webkit-flex-flow:row wrap}.card-group>.card{flex:1 0 0%;-webkit-flex:1 0 0%;margin-bottom:0}.card-group>.card+.card{margin-left:0;border-left:0}.card-group>.card:not(:last-child){border-top-right-radius:0;border-bottom-right-radius:0}.card-group>.card:not(:last-child) .card-img-top,.card-group>.card:not(:last-child) .card-header{border-top-right-radius:0}.card-group>.card:not(:last-child) .card-img-bottom,.card-group>.card:not(:last-child) .card-footer{border-bottom-right-radius:0}.card-group>.card:not(:first-child){border-top-left-radius:0;border-bottom-left-radius:0}.card-group>.card:not(:first-child) .card-img-top,.card-group>.card:not(:first-child) .card-header{border-top-left-radius:0}.card-group>.card:not(:first-child) .card-img-bottom,.card-group>.card:not(:first-child) .card-footer{border-bottom-left-radius:0}}.accordion{--bs-accordion-color: var(--bs-body-color);--bs-accordion-bg: var(--bs-body-bg);--bs-accordion-transition: color 0.15s ease-in-out,background-color 0.15s ease-in-out,border-color 0.15s ease-in-out,box-shadow 0.15s ease-in-out,border-radius 0.15s ease;--bs-accordion-border-color: var(--bs-border-color);--bs-accordion-border-width: var(--bs-border-width);--bs-accordion-border-radius: var(--bs-border-radius);--bs-accordion-inner-border-radius: calc(var(--bs-border-radius) - (var(--bs-border-width)));--bs-accordion-btn-padding-x: 1.25rem;--bs-accordion-btn-padding-y: 1rem;--bs-accordion-btn-color: var(--bs-body-color);--bs-accordion-btn-bg: var(--bs-accordion-bg);--bs-accordion-btn-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23333'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e");--bs-accordion-btn-icon-width: 1.25rem;--bs-accordion-btn-icon-transform: rotate(-180deg);--bs-accordion-btn-icon-transition: transform 0.2s ease-in-out;--bs-accordion-btn-active-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%230c1e39'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e");--bs-accordion-btn-focus-border-color: #8fa5c7;--bs-accordion-btn-focus-box-shadow: 0 0 0 .25rem rgba(30,74,143,0.25);--bs-accordion-body-padding-x: 1.25rem;--bs-accordion-body-padding-y: 1rem;--bs-accordion-active-color: var(--bs-primary-text-emphasis);--bs-accordion-active-bg: var(--bs-primary-bg-subtle)}.accordion-button{position:relative;display:flex;display:-webkit-flex;align-items:center;-webkit-align-items:center;width:100%;padding:var(--bs-accordion-btn-padding-y) var(--bs-accordion-btn-padding-x);font-size:1rem;color:var(--bs-accordion-btn-color);text-align:left;background-color:var(--bs-accordion-btn-bg);border:0;border-radius:0;overflow-anchor:none;transition:var(--bs-accordion-transition)}@media (prefers-reduced-motion: reduce){.accordion-button{transition:none}}.accordion-button:not(.collapsed){color:var(--bs-accordion-active-color);background-color:var(--bs-accordion-active-bg);box-shadow:inset 0 calc(-1 * var(--bs-accordion-border-width)) 0 var(--bs-accordion-border-color)}.accordion-button:not(.collapsed)::after{background-image:var(--bs-accordion-btn-active-icon);transform:var(--bs-accordion-btn-icon-transform)}.accordion-button::after{flex-shrink:0;-webkit-flex-shrink:0;width:var(--bs-accordion-btn-icon-width);height:var(--bs-accordion-btn-icon-width);margin-left:auto;content:"";background-image:var(--bs-accordion-btn-icon);background-repeat:no-repeat;background-size:var(--bs-accordion-btn-icon-width);transition:var(--bs-accordion-btn-icon-transition)}@media (prefers-reduced-motion: reduce){.accordion-button::after{transition:none}}.accordion-button:hover{z-index:2}.accordion-button:focus{z-index:3;border-color:var(--bs-accordion-btn-focus-border-color);outline:0;box-shadow:var(--bs-accordion-btn-focus-box-shadow)}.accordion-header{margin-bottom:0}.accordion-item{color:var(--bs-accordion-color);background-color:var(--bs-accordion-bg);border:var(--bs-accordion-border-width) solid var(--bs-accordion-border-color)}.accordion-item:first-of-type{border-top-left-radius:var(--bs-accordion-border-radius);border-top-right-radius:var(--bs-accordion-border-radius)}.accordion-item:first-of-type .accordion-button{border-top-left-radius:var(--bs-accordion-inner-border-radius);border-top-right-radius:var(--bs-accordion-inner-border-radius)}.accordion-item:not(:first-of-type){border-top:0}.accordion-item:last-of-type{border-bottom-right-radius:var(--bs-accordion-border-radius);border-bottom-left-radius:var(--bs-accordion-border-radius)}.accordion-item:last-of-type .accordion-button.collapsed{border-bottom-right-radius:var(--bs-accordion-inner-border-radius);border-bottom-left-radius:var(--bs-accordion-inner-border-radius)}.accordion-item:last-of-type .accordion-collapse{border-bottom-right-radius:var(--bs-accordion-border-radius);border-bottom-left-radius:var(--bs-accordion-border-radius)}.accordion-body{padding:var(--bs-accordion-body-padding-y) var(--bs-accordion-body-padding-x)}.accordion-flush .accordion-collapse{border-width:0}.accordion-flush .accordion-item{border-right:0;border-left:0;border-radius:0}.accordion-flush .accordion-item:first-child{border-top:0}.accordion-flush .accordion-item:last-child{border-bottom:0}.accordion-flush .accordion-item .accordion-button,.accordion-flush .accordion-item .accordion-button.collapsed{border-radius:0}[data-bs-theme="dark"] .accordion-button::after{--bs-accordion-btn-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%237892bc'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e");--bs-accordion-btn-active-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%237892bc'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e")}.breadcrumb{--bs-breadcrumb-padding-x: 0;--bs-breadcrumb-padding-y: 0;--bs-breadcrumb-margin-bottom: 1rem;--bs-breadcrumb-bg: ;--bs-breadcrumb-border-radius: ;--bs-breadcrumb-divider-color: var(--bs-secondary-color);--bs-breadcrumb-item-padding-x: .5rem;--bs-breadcrumb-item-active-color: var(--bs-secondary-color);display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;padding:var(--bs-breadcrumb-padding-y) var(--bs-breadcrumb-padding-x);margin-bottom:var(--bs-breadcrumb-margin-bottom);font-size:var(--bs-breadcrumb-font-size);list-style:none;background-color:var(--bs-breadcrumb-bg);border-radius:var(--bs-breadcrumb-border-radius)}.breadcrumb-item+.breadcrumb-item{padding-left:var(--bs-breadcrumb-item-padding-x)}.breadcrumb-item+.breadcrumb-item::before{float:left;padding-right:var(--bs-breadcrumb-item-padding-x);color:var(--bs-breadcrumb-divider-color);content:var(--bs-breadcrumb-divider, "/") /* rtl: var(--bs-breadcrumb-divider, "/") */}.breadcrumb-item.active{color:var(--bs-breadcrumb-item-active-color)}.pagination{--bs-pagination-padding-x: .75rem;--bs-pagination-padding-y: .375rem;--bs-pagination-font-size:1rem;--bs-pagination-color: var(--bs-link-color);--bs-pagination-bg: var(--bs-body-bg);--bs-pagination-border-width: var(--bs-border-width);--bs-pagination-border-color: var(--bs-border-color);--bs-pagination-border-radius: var(--bs-border-radius);--bs-pagination-hover-color: var(--bs-link-hover-color);--bs-pagination-hover-bg: var(--bs-tertiary-bg);--bs-pagination-hover-border-color: var(--bs-border-color);--bs-pagination-focus-color: var(--bs-link-hover-color);--bs-pagination-focus-bg: var(--bs-secondary-bg);--bs-pagination-focus-box-shadow: 0 0 0 .25rem rgba(30,74,143,0.25);--bs-pagination-active-color: #fff;--bs-pagination-active-bg: #1E4A8F;--bs-pagination-active-border-color: #1E4A8F;--bs-pagination-disabled-color: var(--bs-secondary-color);--bs-pagination-disabled-bg: var(--bs-secondary-bg);--bs-pagination-disabled-border-color: var(--bs-border-color);display:flex;display:-webkit-flex;padding-left:0;list-style:none}.page-link{position:relative;display:block;padding:var(--bs-pagination-padding-y) var(--bs-pagination-padding-x);font-size:var(--bs-pagination-font-size);color:var(--bs-pagination-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;background-color:var(--bs-pagination-bg);border:var(--bs-pagination-border-width) solid var(--bs-pagination-border-color);transition:color 0.15s ease-in-out,background-color 0.15s ease-in-out,border-color 0.15s ease-in-out,box-shadow 0.15s ease-in-out}@media (prefers-reduced-motion: reduce){.page-link{transition:none}}.page-link:hover{z-index:2;color:var(--bs-pagination-hover-color);background-color:var(--bs-pagination-hover-bg);border-color:var(--bs-pagination-hover-border-color)}.page-link:focus{z-index:3;color:var(--bs-pagination-focus-color);background-color:var(--bs-pagination-focus-bg);outline:0;box-shadow:var(--bs-pagination-focus-box-shadow)}.page-link.active,.active>.page-link{z-index:3;color:var(--bs-pagination-active-color);background-color:var(--bs-pagination-active-bg);border-color:var(--bs-pagination-active-border-color)}.page-link.disabled,.disabled>.page-link{color:var(--bs-pagination-disabled-color);pointer-events:none;background-color:var(--bs-pagination-disabled-bg);border-color:var(--bs-pagination-disabled-border-color)}.page-item:not(:first-child) .page-link{margin-left:calc(var(--bs-border-width) * -1)}.page-item:first-child .page-link{border-top-left-radius:var(--bs-pagination-border-radius);border-bottom-left-radius:var(--bs-pagination-border-radius)}.page-item:last-child .page-link{border-top-right-radius:var(--bs-pagination-border-radius);border-bottom-right-radius:var(--bs-pagination-border-radius)}.pagination-lg{--bs-pagination-padding-x: 1.5rem;--bs-pagination-padding-y: .75rem;--bs-pagination-font-size:1.25rem;--bs-pagination-border-radius: var(--bs-border-radius-lg)}.pagination-sm{--bs-pagination-padding-x: .5rem;--bs-pagination-padding-y: .25rem;--bs-pagination-font-size:.875rem;--bs-pagination-border-radius: var(--bs-border-radius-sm)}.badge{--bs-badge-padding-x: .65em;--bs-badge-padding-y: .35em;--bs-badge-font-size:.75em;--bs-badge-font-weight: 700;--bs-badge-color: #fff;--bs-badge-border-radius: var(--bs-border-radius);display:inline-block;padding:var(--bs-badge-padding-y) var(--bs-badge-padding-x);font-size:var(--bs-badge-font-size);font-weight:var(--bs-badge-font-weight);line-height:1;color:var(--bs-badge-color);text-align:center;white-space:nowrap;vertical-align:baseline;border-radius:var(--bs-badge-border-radius)}.badge:empty{display:none}.btn .badge{position:relative;top:-1px}.alert{--bs-alert-bg: transparent;--bs-alert-padding-x: 1rem;--bs-alert-padding-y: 1rem;--bs-alert-margin-bottom: 1rem;--bs-alert-color: inherit;--bs-alert-border-color: transparent;--bs-alert-border: var(--bs-border-width) solid var(--bs-alert-border-color);--bs-alert-border-radius: var(--bs-border-radius);--bs-alert-link-color: inherit;position:relative;padding:var(--bs-alert-padding-y) var(--bs-alert-padding-x);margin-bottom:var(--bs-alert-margin-bottom);color:var(--bs-alert-color);background-color:var(--bs-alert-bg);border:var(--bs-alert-border);border-radius:var(--bs-alert-border-radius)}.alert-heading{color:inherit}.alert-link{font-weight:700;color:var(--bs-alert-link-color)}.alert-dismissible{padding-right:3rem}.alert-dismissible .btn-close{position:absolute;top:0;right:0;z-index:2;padding:1.25rem 1rem}.alert-default{--bs-alert-color: var(--bs-default-text-emphasis);--bs-alert-bg: var(--bs-default-bg-subtle);--bs-alert-border-color: var(--bs-default-border-subtle);--bs-alert-link-color: var(--bs-default-text-emphasis)}.alert-primary{--bs-alert-color: var(--bs-primary-text-emphasis);--bs-alert-bg: var(--bs-primary-bg-subtle);--bs-alert-border-color: var(--bs-primary-border-subtle);--bs-alert-link-color: var(--bs-primary-text-emphasis)}.alert-secondary{--bs-alert-color: var(--bs-secondary-text-emphasis);--bs-alert-bg: var(--bs-secondary-bg-subtle);--bs-alert-border-color: var(--bs-secondary-border-subtle);--bs-alert-link-color: var(--bs-secondary-text-emphasis)}.alert-success{--bs-alert-color: var(--bs-success-text-emphasis);--bs-alert-bg: var(--bs-success-bg-subtle);--bs-alert-border-color: var(--bs-success-border-subtle);--bs-alert-link-color: var(--bs-success-text-emphasis)}.alert-info{--bs-alert-color: var(--bs-info-text-emphasis);--bs-alert-bg: var(--bs-info-bg-subtle);--bs-alert-border-color: var(--bs-info-border-subtle);--bs-alert-link-color: var(--bs-info-text-emphasis)}.alert-warning{--bs-alert-color: var(--bs-warning-text-emphasis);--bs-alert-bg: var(--bs-warning-bg-subtle);--bs-alert-border-color: var(--bs-warning-border-subtle);--bs-alert-link-color: var(--bs-warning-text-emphasis)}.alert-danger{--bs-alert-color: var(--bs-danger-text-emphasis);--bs-alert-bg: var(--bs-danger-bg-subtle);--bs-alert-border-color: var(--bs-danger-border-subtle);--bs-alert-link-color: var(--bs-danger-text-emphasis)}.alert-light{--bs-alert-color: var(--bs-light-text-emphasis);--bs-alert-bg: var(--bs-light-bg-subtle);--bs-alert-border-color: var(--bs-light-border-subtle);--bs-alert-link-color: var(--bs-light-text-emphasis)}.alert-dark{--bs-alert-color: var(--bs-dark-text-emphasis);--bs-alert-bg: var(--bs-dark-bg-subtle);--bs-alert-border-color: var(--bs-dark-border-subtle);--bs-alert-link-color: var(--bs-dark-text-emphasis)}@keyframes progress-bar-stripes{0%{background-position-x:1rem}}.progress,.progress-stacked{--bs-progress-height: 1rem;--bs-progress-font-size:.75rem;--bs-progress-bg: var(--bs-secondary-bg);--bs-progress-border-radius: var(--bs-border-radius);--bs-progress-box-shadow: var(--bs-box-shadow-inset);--bs-progress-bar-color: #fff;--bs-progress-bar-bg: #1E4A8F;--bs-progress-bar-transition: width 0.6s ease;display:flex;display:-webkit-flex;height:var(--bs-progress-height);overflow:hidden;font-size:var(--bs-progress-font-size);background-color:var(--bs-progress-bg);border-radius:var(--bs-progress-border-radius)}.progress-bar{display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;justify-content:center;-webkit-justify-content:center;overflow:hidden;color:var(--bs-progress-bar-color);text-align:center;white-space:nowrap;background-color:var(--bs-progress-bar-bg);transition:var(--bs-progress-bar-transition)}@media (prefers-reduced-motion: reduce){.progress-bar{transition:none}}.progress-bar-striped{background-image:linear-gradient(45deg, rgba(255,255,255,0.15) 25%, transparent 25%, transparent 50%, rgba(255,255,255,0.15) 50%, rgba(255,255,255,0.15) 75%, transparent 75%, transparent);background-size:var(--bs-progress-height) var(--bs-progress-height)}.progress-stacked>.progress{overflow:visible}.progress-stacked>.progress>.progress-bar{width:100%}.progress-bar-animated{animation:1s linear infinite progress-bar-stripes}@media (prefers-reduced-motion: reduce){.progress-bar-animated{animation:none}}.list-group{--bs-list-group-color: var(--bs-body-color);--bs-list-group-bg: var(--bs-body-bg);--bs-list-group-border-color: var(--bs-border-color);--bs-list-group-border-width: var(--bs-border-width);--bs-list-group-border-radius: var(--bs-border-radius);--bs-list-group-item-padding-x: 1rem;--bs-list-group-item-padding-y: .5rem;--bs-list-group-action-color: var(--bs-secondary-color);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-tertiary-bg);--bs-list-group-action-active-color: var(--bs-body-color);--bs-list-group-action-active-bg: var(--bs-secondary-bg);--bs-list-group-disabled-color: var(--bs-secondary-color);--bs-list-group-disabled-bg: var(--bs-body-bg);--bs-list-group-active-color: #fff;--bs-list-group-active-bg: #1E4A8F;--bs-list-group-active-border-color: #1E4A8F;display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;padding-left:0;margin-bottom:0;border-radius:var(--bs-list-group-border-radius)}.list-group-numbered{list-style-type:none;counter-reset:section}.list-group-numbered>.list-group-item::before{content:counters(section, ".") 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";counter-increment:section}.list-group-item-action{width:100%;color:var(--bs-list-group-action-color);text-align:inherit}.list-group-item-action:hover,.list-group-item-action:focus{z-index:1;color:var(--bs-list-group-action-hover-color);text-decoration:none;background-color:var(--bs-list-group-action-hover-bg)}.list-group-item-action:active{color:var(--bs-list-group-action-active-color);background-color:var(--bs-list-group-action-active-bg)}.list-group-item{position:relative;display:block;padding:var(--bs-list-group-item-padding-y) var(--bs-list-group-item-padding-x);color:var(--bs-list-group-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;background-color:var(--bs-list-group-bg);border:var(--bs-list-group-border-width) solid var(--bs-list-group-border-color)}.list-group-item:first-child{border-top-left-radius:inherit;border-top-right-radius:inherit}.list-group-item:last-child{border-bottom-right-radius:inherit;border-bottom-left-radius:inherit}.list-group-item.disabled,.list-group-item:disabled{color:var(--bs-list-group-disabled-color);pointer-events:none;background-color:var(--bs-list-group-disabled-bg)}.list-group-item.active{z-index:2;color:var(--bs-list-group-active-color);background-color:var(--bs-list-group-active-bg);border-color:var(--bs-list-group-active-border-color)}.list-group-item+.list-group-item{border-top-width:0}.list-group-item+.list-group-item.active{margin-top:calc(-1 * var(--bs-list-group-border-width));border-top-width:var(--bs-list-group-border-width)}.list-group-horizontal{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal>.list-group-item.active{margin-top:0}.list-group-horizontal>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}@media (min-width: 576px){.list-group-horizontal-sm{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-sm>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-sm>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-sm>.list-group-item.active{margin-top:0}.list-group-horizontal-sm>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-sm>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 768px){.list-group-horizontal-md{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-md>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-md>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-md>.list-group-item.active{margin-top:0}.list-group-horizontal-md>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-md>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 992px){.list-group-horizontal-lg{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-lg>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-lg>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-lg>.list-group-item.active{margin-top:0}.list-group-horizontal-lg>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-lg>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 1200px){.list-group-horizontal-xl{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-xl>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-xl>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-xl>.list-group-item.active{margin-top:0}.list-group-horizontal-xl>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-xl>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 1400px){.list-group-horizontal-xxl{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-xxl>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-xxl>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-xxl>.list-group-item.active{margin-top:0}.list-group-horizontal-xxl>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-xxl>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}.list-group-flush{border-radius:0}.list-group-flush>.list-group-item{border-width:0 0 var(--bs-list-group-border-width)}.list-group-flush>.list-group-item:last-child{border-bottom-width:0}.list-group-item-default{--bs-list-group-color: var(--bs-default-text-emphasis);--bs-list-group-bg: var(--bs-default-bg-subtle);--bs-list-group-border-color: var(--bs-default-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-default-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-default-border-subtle);--bs-list-group-active-color: var(--bs-default-bg-subtle);--bs-list-group-active-bg: var(--bs-default-text-emphasis);--bs-list-group-active-border-color: var(--bs-default-text-emphasis)}.list-group-item-primary{--bs-list-group-color: var(--bs-primary-text-emphasis);--bs-list-group-bg: var(--bs-primary-bg-subtle);--bs-list-group-border-color: var(--bs-primary-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-primary-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-primary-border-subtle);--bs-list-group-active-color: var(--bs-primary-bg-subtle);--bs-list-group-active-bg: var(--bs-primary-text-emphasis);--bs-list-group-active-border-color: var(--bs-primary-text-emphasis)}.list-group-item-secondary{--bs-list-group-color: var(--bs-secondary-text-emphasis);--bs-list-group-bg: var(--bs-secondary-bg-subtle);--bs-list-group-border-color: var(--bs-secondary-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-secondary-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-secondary-border-subtle);--bs-list-group-active-color: var(--bs-secondary-bg-subtle);--bs-list-group-active-bg: var(--bs-secondary-text-emphasis);--bs-list-group-active-border-color: var(--bs-secondary-text-emphasis)}.list-group-item-success{--bs-list-group-color: var(--bs-success-text-emphasis);--bs-list-group-bg: var(--bs-success-bg-subtle);--bs-list-group-border-color: var(--bs-success-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-success-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-success-border-subtle);--bs-list-group-active-color: var(--bs-success-bg-subtle);--bs-list-group-active-bg: var(--bs-success-text-emphasis);--bs-list-group-active-border-color: var(--bs-success-text-emphasis)}.list-group-item-info{--bs-list-group-color: var(--bs-info-text-emphasis);--bs-list-group-bg: var(--bs-info-bg-subtle);--bs-list-group-border-color: var(--bs-info-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-info-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-info-border-subtle);--bs-list-group-active-color: var(--bs-info-bg-subtle);--bs-list-group-active-bg: var(--bs-info-text-emphasis);--bs-list-group-active-border-color: var(--bs-info-text-emphasis)}.list-group-item-warning{--bs-list-group-color: var(--bs-warning-text-emphasis);--bs-list-group-bg: var(--bs-warning-bg-subtle);--bs-list-group-border-color: var(--bs-warning-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-warning-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-warning-border-subtle);--bs-list-group-active-color: var(--bs-warning-bg-subtle);--bs-list-group-active-bg: var(--bs-warning-text-emphasis);--bs-list-group-active-border-color: var(--bs-warning-text-emphasis)}.list-group-item-danger{--bs-list-group-color: var(--bs-danger-text-emphasis);--bs-list-group-bg: var(--bs-danger-bg-subtle);--bs-list-group-border-color: var(--bs-danger-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-danger-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-danger-border-subtle);--bs-list-group-active-color: var(--bs-danger-bg-subtle);--bs-list-group-active-bg: var(--bs-danger-text-emphasis);--bs-list-group-active-border-color: var(--bs-danger-text-emphasis)}.list-group-item-light{--bs-list-group-color: var(--bs-light-text-emphasis);--bs-list-group-bg: var(--bs-light-bg-subtle);--bs-list-group-border-color: var(--bs-light-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-light-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-light-border-subtle);--bs-list-group-active-color: var(--bs-light-bg-subtle);--bs-list-group-active-bg: var(--bs-light-text-emphasis);--bs-list-group-active-border-color: var(--bs-light-text-emphasis)}.list-group-item-dark{--bs-list-group-color: var(--bs-dark-text-emphasis);--bs-list-group-bg: var(--bs-dark-bg-subtle);--bs-list-group-border-color: var(--bs-dark-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-dark-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-dark-border-subtle);--bs-list-group-active-color: var(--bs-dark-bg-subtle);--bs-list-group-active-bg: var(--bs-dark-text-emphasis);--bs-list-group-active-border-color: var(--bs-dark-text-emphasis)}.btn-close{--bs-btn-close-color: #000;--bs-btn-close-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23000'%3e%3cpath d='M.293.293a1 1 0 0 1 1.414 0L8 6.586 14.293.293a1 1 0 1 1 1.414 1.414L9.414 8l6.293 6.293a1 1 0 0 1-1.414 1.414L8 9.414l-6.293 6.293a1 1 0 0 1-1.414-1.414L6.586 8 .293 1.707a1 1 0 0 1 0-1.414z'/%3e%3c/svg%3e");--bs-btn-close-opacity: .5;--bs-btn-close-hover-opacity: .75;--bs-btn-close-focus-shadow: 0 0 0 .25rem rgba(30,74,143,0.25);--bs-btn-close-focus-opacity: 1;--bs-btn-close-disabled-opacity: .25;--bs-btn-close-white-filter: invert(1) grayscale(100%) brightness(200%);box-sizing:content-box;width:1em;height:1em;padding:.25em .25em;color:var(--bs-btn-close-color);background:transparent var(--bs-btn-close-bg) center/1em auto no-repeat;border:0;border-radius:.375rem;opacity:var(--bs-btn-close-opacity)}.btn-close:hover{color:var(--bs-btn-close-color);text-decoration:none;opacity:var(--bs-btn-close-hover-opacity)}.btn-close:focus{outline:0;box-shadow:var(--bs-btn-close-focus-shadow);opacity:var(--bs-btn-close-focus-opacity)}.btn-close:disabled,.btn-close.disabled{pointer-events:none;user-select:none;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;-o-user-select:none;opacity:var(--bs-btn-close-disabled-opacity)}.btn-close-white{filter:var(--bs-btn-close-white-filter)}[data-bs-theme="dark"] .btn-close{filter:var(--bs-btn-close-white-filter)}.toast{--bs-toast-zindex: 1090;--bs-toast-padding-x: .75rem;--bs-toast-padding-y: .5rem;--bs-toast-spacing: 1.5rem;--bs-toast-max-width: 350px;--bs-toast-font-size:.875rem;--bs-toast-color: ;--bs-toast-bg: rgba(var(--bs-body-bg-rgb), 0.85);--bs-toast-border-width: var(--bs-border-width);--bs-toast-border-color: var(--bs-border-color-translucent);--bs-toast-border-radius: var(--bs-border-radius);--bs-toast-box-shadow: var(--bs-box-shadow);--bs-toast-header-color: var(--bs-secondary-color);--bs-toast-header-bg: rgba(var(--bs-body-bg-rgb), 0.85);--bs-toast-header-border-color: var(--bs-border-color-translucent);width:var(--bs-toast-max-width);max-width:100%;font-size:var(--bs-toast-font-size);color:var(--bs-toast-color);pointer-events:auto;background-color:var(--bs-toast-bg);background-clip:padding-box;border:var(--bs-toast-border-width) solid var(--bs-toast-border-color);box-shadow:var(--bs-toast-box-shadow);border-radius:var(--bs-toast-border-radius)}.toast.showing{opacity:0}.toast:not(.show){display:none}.toast-container{--bs-toast-zindex: 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diff --git a/deps/bootstrap-5.3.1/font.css b/deps/bootstrap-5.3.1/font.css
index a3fa500..9c9559b 100644
--- a/deps/bootstrap-5.3.1/font.css
+++ b/deps/bootstrap-5.3.1/font.css
@@ -5,7 +5,7 @@
   font-weight: 400;
   font-display: swap;
   src: url(fonts/4iCs6KVjbNBYlgoKcg72j00.woff2) format('woff2');
-  unicode-range: U+0460-052F, U+1C80-1C88, U+20B4, U+2DE0-2DFF, U+A640-A69F, U+FE2E-FE2F;
+  unicode-range: U+0460-052F, U+1C80-1C8A, U+20B4, U+2DE0-2DFF, U+A640-A69F, U+FE2E-FE2F;
 }
 /* cyrillic */
 @font-face {
@@ -41,7 +41,7 @@
   font-weight: 400;
   font-display: swap;
   src: url(fonts/4iCs6KVjbNBYlgoKcQ72j00.woff2) format('woff2');
-  unicode-range: U+0100-02AF, U+0304, U+0308, U+0329, U+1E00-1E9F, U+1EF2-1EFF, U+2020, U+20A0-20AB, U+20AD-20C0, U+2113, U+2C60-2C7F, U+A720-A7FF;
+  unicode-range: U+0100-02BA, U+02BD-02C5, U+02C7-02CC, U+02CE-02D7, U+02DD-02FF, U+0304, U+0308, U+0329, U+1D00-1DBF, U+1E00-1E9F, U+1EF2-1EFF, U+2020, U+20A0-20AB, U+20AD-20C0, U+2113, U+2C60-2C7F, U+A720-A7FF;
 }
 /* latin */
 @font-face {
@@ -50,7 +50,7 @@
   font-weight: 400;
   font-display: swap;
   src: url(fonts/4iCs6KVjbNBYlgoKfw72.woff2) format('woff2');
-  unicode-range: U+0000-00FF, U+0131, U+0152-0153, U+02BB-02BC, U+02C6, U+02DA, U+02DC, U+0304, U+0308, U+0329, U+2000-206F, U+2074, U+20AC, U+2122, U+2191, U+2193, U+2212, U+2215, U+FEFF, U+FFFD;
+  unicode-range: U+0000-00FF, U+0131, U+0152-0153, U+02BB-02BC, U+02C6, U+02DA, U+02DC, U+0304, U+0308, U+0329, U+2000-206F, U+20AC, U+2122, U+2191, U+2193, U+2212, U+2215, U+FEFF, U+FFFD;
 }
 /* cyrillic-ext */
 @font-face {
@@ -59,7 +59,7 @@
   font-weight: 700;
   font-display: swap;
   src: url(fonts/4iCv6KVjbNBYlgoCxCvjvWyNL4U.woff2) format('woff2');
-  unicode-range: U+0460-052F, U+1C80-1C88, U+20B4, U+2DE0-2DFF, U+A640-A69F, U+FE2E-FE2F;
+  unicode-range: U+0460-052F, U+1C80-1C8A, U+20B4, U+2DE0-2DFF, U+A640-A69F, U+FE2E-FE2F;
 }
 /* cyrillic */
 @font-face {
@@ -95,7 +95,7 @@
   font-weight: 700;
   font-display: swap;
   src: url(fonts/4iCv6KVjbNBYlgoCxCvjvmyNL4U.woff2) format('woff2');
-  unicode-range: U+0100-02AF, U+0304, U+0308, U+0329, U+1E00-1E9F, U+1EF2-1EFF, U+2020, U+20A0-20AB, U+20AD-20C0, U+2113, U+2C60-2C7F, U+A720-A7FF;
+  unicode-range: U+0100-02BA, U+02BD-02C5, U+02C7-02CC, U+02CE-02D7, U+02DD-02FF, U+0304, U+0308, U+0329, U+1D00-1DBF, U+1E00-1E9F, U+1EF2-1EFF, U+2020, U+20A0-20AB, U+20AD-20C0, U+2113, U+2C60-2C7F, U+A720-A7FF;
 }
 /* latin */
 @font-face {
@@ -104,5 +104,5 @@
   font-weight: 700;
   font-display: swap;
   src: url(fonts/4iCv6KVjbNBYlgoCxCvjsGyN.woff2) format('woff2');
-  unicode-range: U+0000-00FF, U+0131, U+0152-0153, U+02BB-02BC, U+02C6, U+02DA, U+02DC, U+0304, U+0308, U+0329, U+2000-206F, U+2074, U+20AC, U+2122, U+2191, U+2193, U+2212, U+2215, U+FEFF, U+FFFD;
+  unicode-range: U+0000-00FF, U+0131, U+0152-0153, U+02BB-02BC, U+02C6, U+02DA, U+02DC, U+0304, U+0308, U+0329, U+2000-206F, U+20AC, U+2122, U+2191, U+2193, U+2212, U+2215, U+FEFF, U+FFFD;
 }
diff --git a/deps/bootstrap-5.3.1/fonts/JTUSjIg1_i6t8kCHKm459W1hyzbi.woff2 b/deps/bootstrap-5.3.1/fonts/JTUSjIg1_i6t8kCHKm459W1hyzbi.woff2
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diff --git a/index.html b/index.html
index 73e9b70..1922c84 100644
--- a/index.html
+++ b/index.html
@@ -25,7 +25,7 @@
 
     <a class="navbar-brand me-2" href="index.html">freesearcheR</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">25.1.1</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">25.2.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/news/index.html b/news/index.html
index 4b6c7e9..a226330 100644
--- a/news/index.html
+++ b/news/index.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">freesearcheR</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">25.1.1</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">25.2.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -33,6 +33,11 @@
       <small>Source: <a href="https://github.com/agdamsbo/freesearcheR/blob/main/NEWS.md" class="external-link"><code>NEWS.md</code></a></small>
     </div>
 
+    <div class="section level2">
+<h2 class="pkg-version" data-toc-text="25.2.1" id="freesearcher-2521">freesearcheR 25.2.1<a class="anchor" aria-label="anchor" href="#freesearcher-2521"></a></h2>
+<p>First steps towards a more focused and simplified interface.</p>
+<p>Focus will be on ease of use, handling basic functionality for data inspection and descriptive analyses.</p>
+</div>
     <div class="section level2">
 <h2 class="pkg-version" data-toc-text="25.1.1" id="freesearcher-2511">freesearcheR 25.1.1<a class="anchor" aria-label="anchor" href="#freesearcher-2511"></a></h2>
 <ul><li><p>UI tweaks.</p></li>
diff --git a/pkgdown.yml b/pkgdown.yml
index 5b770ac..1af0ff5 100644
--- a/pkgdown.yml
+++ b/pkgdown.yml
@@ -2,7 +2,7 @@ pandoc: 3.1.11
 pkgdown: 2.1.1
 pkgdown_sha: ~
 articles: {}
-last_built: 2025-01-30T13:49Z
+last_built: 2025-02-07T15:43Z
 urls:
   reference: https://agdamsbo.github.io/freesearcheR/reference
   article: https://agdamsbo.github.io/freesearcheR/articles
diff --git a/reference/add_class_icon.html b/reference/add_class_icon.html
index 56db66e..5b83264 100644
--- a/reference/add_class_icon.html
+++ b/reference/add_class_icon.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">freesearcheR</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">25.1.1</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">25.2.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/add_sparkline.html b/reference/add_sparkline.html
index a647702..8fd5fc0 100644
--- a/reference/add_sparkline.html
+++ b/reference/add_sparkline.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">freesearcheR</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">25.1.1</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">25.2.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/argsstring2list.html b/reference/argsstring2list.html
index 8cf96cc..03fe5c5 100644
--- a/reference/argsstring2list.html
+++ b/reference/argsstring2list.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">freesearcheR</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">25.1.1</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">25.2.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/baseline_table.html b/reference/baseline_table.html
index a4fbf5b..182fc95 100644
--- a/reference/baseline_table.html
+++ b/reference/baseline_table.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">freesearcheR</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">25.1.1</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">25.2.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/create_overview_datagrid.html b/reference/create_overview_datagrid.html
index e279fc8..7767f59 100644
--- a/reference/create_overview_datagrid.html
+++ b/reference/create_overview_datagrid.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">freesearcheR</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">25.1.1</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">25.2.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/custom_theme.html b/reference/custom_theme.html
index 1f72885..259cea4 100644
--- a/reference/custom_theme.html
+++ b/reference/custom_theme.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">freesearcheR</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">25.1.1</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">25.2.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/cut-variable.html b/reference/cut-variable.html
index 9abc247..cee763c 100644
--- a/reference/cut-variable.html
+++ b/reference/cut-variable.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">freesearcheR</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">25.1.1</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">25.2.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/cut.html b/reference/cut.html
index 17c4057..979c95e 100644
--- a/reference/cut.html
+++ b/reference/cut.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">freesearcheR</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">25.1.1</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">25.2.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/data-summary.html b/reference/data-summary.html
index 8abffc8..0c17fcb 100644
--- a/reference/data-summary.html
+++ b/reference/data-summary.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">freesearcheR</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">25.1.1</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">25.2.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/default_format_arguments.html b/reference/default_format_arguments.html
index 0c06bd3..4dfd42a 100644
--- a/reference/default_format_arguments.html
+++ b/reference/default_format_arguments.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">freesearcheR</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">25.1.1</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">25.2.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/default_parsing.html b/reference/default_parsing.html
index f2cf2a2..b62abf5 100644
--- a/reference/default_parsing.html
+++ b/reference/default_parsing.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">freesearcheR</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">25.1.1</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">25.2.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/factorize.html b/reference/factorize.html
index f540f48..f6a7f89 100644
--- a/reference/factorize.html
+++ b/reference/factorize.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">freesearcheR</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">25.1.1</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">25.2.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/file_export.html b/reference/file_export.html
index 658b6f6..46f19ab 100644
--- a/reference/file_export.html
+++ b/reference/file_export.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">freesearcheR</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">25.1.1</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">25.2.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/format_writer.html b/reference/format_writer.html
index a84dc46..4a6c350 100644
--- a/reference/format_writer.html
+++ b/reference/format_writer.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">freesearcheR</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">25.1.1</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">25.2.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/getfun.html b/reference/getfun.html
index 2e88c67..dd21634 100644
--- a/reference/getfun.html
+++ b/reference/getfun.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">freesearcheR</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">25.1.1</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">25.2.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -131,7 +131,7 @@
 <span class="r-out co"><span class="r-pr">#&gt;</span>         z$qr &lt;- NULL</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>     z</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> }</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;bytecode: 0x562fdf0fc768&gt;</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;bytecode: 0x5567628c3f78&gt;</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> &lt;environment: namespace:stats&gt;</span>
 </code></pre></div>
     </div>
diff --git a/reference/index.html b/reference/index.html
index f332489..8a40bf9 100644
--- a/reference/index.html
+++ b/reference/index.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">freesearcheR</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">25.1.1</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">25.2.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
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index 8cbfb3c..69d23ed 100644
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-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">25.1.1</small>
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     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/is_any_class.html b/reference/is_any_class.html
index f5e96e8..c0c6178 100644
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-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">25.1.1</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">25.2.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
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index c764a5e..a12fb4e 100644
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-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">25.1.1</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">25.2.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/is_datetime.html b/reference/is_datetime.html
index f11c40d..530b0fc 100644
--- a/reference/is_datetime.html
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-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">25.1.1</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">25.2.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/m_datafileUI.html b/reference/m_datafileUI.html
index 6bd8eec..ad304dc 100644
--- a/reference/m_datafileUI.html
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-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">25.1.1</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">25.2.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/modify_qmd.html b/reference/modify_qmd.html
index c827822..b7b2f40 100644
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-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">25.1.1</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">25.2.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/overview_vars.html b/reference/overview_vars.html
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-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">25.1.1</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">25.2.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/read_input.html b/reference/read_input.html
index 616a872..897661a 100644
--- a/reference/read_input.html
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@@ -7,7 +7,7 @@
 
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-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">25.1.1</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">25.2.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/redcap_read_shiny_module.html b/reference/redcap_read_shiny_module.html
index d3550ab..d715093 100644
--- a/reference/redcap_read_shiny_module.html
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-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">25.1.1</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">25.2.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
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index 5394ae7..d5b6086 100644
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-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">25.1.1</small>
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     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
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index f61ce4d..805dba4 100644
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-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">25.1.1</small>
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index bac269f..6fe0392 100644
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index c7e80d5..f6e1bef 100644
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     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
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     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
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Definitions.","title":"GNU Affero General Public License","text":"“License” refers version 3 GNU Affero General Public License. “Copyright” also means copyright-like laws apply kinds works, semiconductor masks. “Program” refers copyrightable work licensed License. licensee addressed “”. “Licensees” “recipients” may individuals organizations. “modify” work means copy adapt part work fashion requiring copyright permission, making exact copy. resulting work called “modified version” earlier work work “based ” earlier work. “covered work” means either unmodified Program work based Program. “propagate” work means anything , without permission, make directly secondarily liable infringement applicable copyright law, except executing computer modifying private copy. Propagation includes copying, distribution (without modification), making available public, countries activities well. “convey” work means kind propagation enables parties make receive copies. 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Protecting Users’ Legal Rights From Anti-Circumvention Law.","title":"GNU Affero General Public License","text":"covered work shall deemed part effective technological measure applicable law fulfilling obligations article 11 WIPO copyright treaty adopted 20 December 1996, similar laws prohibiting restricting circumvention measures. convey covered work, waive legal power forbid circumvention technological measures extent circumvention effected exercising rights License respect covered work, disclaim intention limit operation modification work means enforcing, work’s users, third parties’ legal rights forbid circumvention technological measures.","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/LICENSE.html","id":"id_4-conveying-verbatim-copies","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"4. Conveying Verbatim Copies.","title":"GNU Affero General Public License","text":"may convey verbatim copies Program’s source code receive , medium, provided conspicuously appropriately publish copy appropriate copyright notice; keep intact notices stating License non-permissive terms added accord section 7 apply code; keep intact notices absence warranty; give recipients copy License along Program. may charge price price copy convey, may offer support warranty protection fee.","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/LICENSE.html","id":"id_5-conveying-modified-source-versions","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"5. Conveying Modified Source Versions.","title":"GNU Affero General Public License","text":"may convey work based Program, modifications produce Program, form source code terms section 4, provided also meet conditions: work must carry prominent notices stating modified , giving relevant date. work must carry prominent notices stating released License conditions added section 7. requirement modifies requirement section 4 “keep intact notices”. must license entire work, whole, License anyone comes possession copy. License therefore apply, along applicable section 7 additional terms, whole work, parts, regardless packaged. License gives permission license work way, invalidate permission separately received . work interactive user interfaces, must display Appropriate Legal Notices; however, Program interactive interfaces display Appropriate Legal Notices, work need make . compilation covered work separate independent works, nature extensions covered work, combined form larger program, volume storage distribution medium, called “aggregate” compilation resulting copyright used limit access legal rights compilation’s users beyond individual works permit. Inclusion covered work aggregate cause License apply parts aggregate.","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/LICENSE.html","id":"id_6-conveying-non-source-forms","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"6. Conveying Non-Source Forms.","title":"GNU Affero General Public License","text":"may convey covered work object code form terms sections 4 5, provided also convey machine-readable Corresponding Source terms License, one ways: Convey object code , embodied , physical product (including physical distribution medium), accompanied Corresponding Source fixed durable physical medium customarily used software interchange. Convey object code , embodied , physical product (including physical distribution medium), accompanied written offer, valid least three years valid long offer spare parts customer support product model, give anyone possesses object code either (1) copy Corresponding Source software product covered License, durable physical medium customarily used software interchange, price reasonable cost physically performing conveying source, (2) access copy Corresponding Source network server charge. 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Access network may denied modification materially adversely affects operation network violates rules protocols communication across network. Corresponding Source conveyed, Installation Information provided, accord section must format publicly documented (implementation available public source code form), must require special password key unpacking, reading copying.","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/LICENSE.html","id":"id_7-additional-terms","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"7. Additional Terms.","title":"GNU Affero General Public License","text":"“Additional permissions” terms supplement terms License making exceptions one conditions. Additional permissions applicable entire Program shall treated though included License, extent valid applicable law. additional permissions apply part Program, part may used separately permissions, entire Program remains governed License without regard additional permissions. convey copy covered work, may option remove additional permissions copy, part . (Additional permissions may written require removal certain cases modify work.) may place additional permissions material, added covered work, can give appropriate copyright permission. 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Termination.","title":"GNU Affero General Public License","text":"may propagate modify covered work except expressly provided License. attempt otherwise propagate modify void, automatically terminate rights License (including patent licenses granted third paragraph section 11). However, cease violation License, license particular copyright holder reinstated () provisionally, unless copyright holder explicitly finally terminates license, (b) permanently, copyright holder fails notify violation reasonable means prior 60 days cessation. Moreover, license particular copyright holder reinstated permanently copyright holder notifies violation reasonable means, first time received notice violation License (work) copyright holder, cure violation prior 30 days receipt notice. Termination rights section terminate licenses parties received copies rights License. rights terminated permanently reinstated, qualify receive new licenses material section 10.","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/LICENSE.html","id":"id_9-acceptance-not-required-for-having-copies","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"9. Acceptance Not Required for Having Copies.","title":"GNU Affero General Public License","text":"required accept License order receive run copy Program. Ancillary propagation covered work occurring solely consequence using peer--peer transmission receive copy likewise require acceptance. However, nothing License grants permission propagate modify covered work. actions infringe copyright accept License. Therefore, modifying propagating covered work, indicate acceptance License .","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/LICENSE.html","id":"id_10-automatic-licensing-of-downstream-recipients","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"10. Automatic Licensing of Downstream Recipients.","title":"GNU Affero General Public License","text":"time convey covered work, recipient automatically receives license original licensors, run, modify propagate work, subject License. responsible enforcing compliance third parties License. “entity transaction” transaction transferring control organization, substantially assets one, subdividing organization, merging organizations. propagation covered work results entity transaction, party transaction receives copy work also receives whatever licenses work party’s predecessor interest give previous paragraph, plus right possession Corresponding Source work predecessor interest, predecessor can get reasonable efforts. may impose restrictions exercise rights granted affirmed License. example, may impose license fee, royalty, charge exercise rights granted License, may initiate litigation (including cross-claim counterclaim lawsuit) alleging patent claim infringed making, using, selling, offering sale, importing Program portion .","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/LICENSE.html","id":"id_11-patents","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"11. Patents.","title":"GNU Affero General Public License","text":"“contributor” copyright holder authorizes use License Program work Program based. work thus licensed called contributor’s “contributor version”. contributor’s “essential patent claims” patent claims owned controlled contributor, whether already acquired hereafter acquired, infringed manner, permitted License, making, using, selling contributor version, include claims infringed consequence modification contributor version. purposes definition, “control” includes right grant patent sublicenses manner consistent requirements License. contributor grants non-exclusive, worldwide, royalty-free patent license contributor’s essential patent claims, make, use, sell, offer sale, import otherwise run, modify propagate contents contributor version. following three paragraphs, “patent license” express agreement commitment, however denominated, enforce patent (express permission practice patent covenant sue patent infringement). “grant” patent license party means make agreement commitment enforce patent party. convey covered work, knowingly relying patent license, Corresponding Source work available anyone copy, free charge terms License, publicly available network server readily accessible means, must either (1) cause Corresponding Source available, (2) arrange deprive benefit patent license particular work, (3) arrange, manner consistent requirements License, extend patent license downstream recipients. “Knowingly relying” means actual knowledge , patent license, conveying covered work country, recipient’s use covered work country, infringe one identifiable patents country reason believe valid. , pursuant connection single transaction arrangement, convey, propagate procuring conveyance , covered work, grant patent license parties receiving covered work authorizing use, propagate, modify convey specific copy covered work, patent license grant automatically extended recipients covered work works based . patent license “discriminatory” include within scope coverage, prohibits exercise , conditioned non-exercise one rights specifically granted License. may convey covered work party arrangement third party business distributing software, make payment third party based extent activity conveying work, third party grants, parties receive covered work , discriminatory patent license () connection copies covered work conveyed (copies made copies), (b) primarily connection specific products compilations contain covered work, unless entered arrangement, patent license granted, prior 28 March 2007. 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Remote Network Interaction; Use with the GNU General Public License.","title":"GNU Affero General Public License","text":"Notwithstanding provision License, modify Program, modified version must prominently offer users interacting remotely computer network (version supports interaction) opportunity receive Corresponding Source version providing access Corresponding Source network server charge, standard customary means facilitating copying software. Corresponding Source shall include Corresponding Source work covered version 3 GNU General Public License incorporated pursuant following paragraph. Notwithstanding provision License, permission link combine covered work work licensed version 3 GNU General Public License single combined work, convey resulting work. terms License continue apply part covered work, work combined remain governed version 3 GNU General Public License.","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/LICENSE.html","id":"id_14-revised-versions-of-this-license","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"14. Revised Versions of this License.","title":"GNU Affero General Public License","text":"Free Software Foundation may publish revised /new versions GNU Affero General Public License time time. new versions similar spirit present version, may differ detail address new problems concerns. version given distinguishing version number. Program specifies certain numbered version GNU Affero General Public License “later version” applies , option following terms conditions either numbered version later version published Free Software Foundation. Program specify version number GNU Affero General Public License, may choose version ever published Free Software Foundation. Program specifies proxy can decide future versions GNU Affero General Public License can used, proxy’s public statement acceptance version permanently authorizes choose version Program. Later license versions may give additional different permissions. However, additional obligations imposed author copyright holder result choosing follow later version.","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/LICENSE.html","id":"id_15-disclaimer-of-warranty","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"15. Disclaimer of Warranty.","title":"GNU Affero General Public License","text":"WARRANTY PROGRAM, EXTENT PERMITTED APPLICABLE LAW. EXCEPT OTHERWISE STATED WRITING COPYRIGHT HOLDERS /PARTIES PROVIDE PROGRAM “” WITHOUT WARRANTY KIND, EITHER EXPRESSED IMPLIED, INCLUDING, LIMITED , IMPLIED WARRANTIES MERCHANTABILITY FITNESS PARTICULAR PURPOSE. ENTIRE RISK QUALITY PERFORMANCE PROGRAM . PROGRAM PROVE DEFECTIVE, ASSUME COST NECESSARY SERVICING, REPAIR CORRECTION.","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/LICENSE.html","id":"id_16-limitation-of-liability","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"16. Limitation of Liability.","title":"GNU Affero General Public License","text":"EVENT UNLESS REQUIRED APPLICABLE LAW AGREED WRITING COPYRIGHT HOLDER, PARTY MODIFIES /CONVEYS PROGRAM PERMITTED , LIABLE DAMAGES, INCLUDING GENERAL, SPECIAL, INCIDENTAL CONSEQUENTIAL DAMAGES ARISING USE INABILITY USE PROGRAM (INCLUDING LIMITED LOSS DATA DATA RENDERED INACCURATE LOSSES SUSTAINED THIRD PARTIES FAILURE PROGRAM OPERATE PROGRAMS), EVEN HOLDER PARTY ADVISED POSSIBILITY DAMAGES.","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/LICENSE.html","id":"id_17-interpretation-of-sections-15-and-16","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"17. Interpretation of Sections 15 and 16.","title":"GNU Affero General Public License","text":"disclaimer warranty limitation liability provided given local legal effect according terms, reviewing courts shall apply local law closely approximates absolute waiver civil liability connection Program, unless warranty assumption liability accompanies copy Program return fee. END TERMS CONDITIONS","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/LICENSE.html","id":"how-to-apply-these-terms-to-your-new-programs","dir":"","previous_headings":"","what":"How to Apply These Terms to Your New Programs","title":"GNU Affero General Public License","text":"develop new program, want greatest possible use public, best way achieve make free software everyone can redistribute change terms. , attach following notices program. safest attach start source file effectively state exclusion warranty; file least “copyright” line pointer full notice found. Also add information contact electronic paper mail. software can interact users remotely computer network, also make sure provides way users get source. example, program web application, interface display “Source” link leads users archive code. many ways offer source, different solutions better different programs; see section 13 specific requirements. also get employer (work programmer) school, , sign “copyright disclaimer” program, necessary. information , apply follow GNU AGPL, see https://www.gnu.org/licenses/.","code":"<one line to give the program's name and a brief idea of what it does.>     Copyright (C) <year>  <name of author>      This program is free software: you can redistribute it and/or modify     it under the terms of the GNU Affero General Public License as     published by the Free Software Foundation, either version 3 of the     License, or (at your option) any later version.      This program is distributed in the hope that it will be useful,     but WITHOUT ANY WARRANTY; without even the implied warranty of     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the     GNU Affero General Public License for more details.      You should have received a copy of the GNU Affero General Public License     along with this program.  If not, see <https://www.gnu.org/licenses/>."},{"path":"https://agdamsbo.github.io/freesearcheR/ROADMAP.html","id":null,"dir":"","previous_headings":"","what":"Project roadmap","title":"Project roadmap","text":"current state app considered experimental, lot things still changing. , however, usable state, basic functions available user. (actual list quite long growing) planned features improvements: Stratified analyses Additional study designs: Cross-sectional data analyses Longitudinal data analyses Survival analysis detailed variable browser Add histograms data distribution. 2025-01-16 Option edit labels. 2025-01-16 output controls Theming output tables Select analyses include report Plot regression analyses results Export modified data. 2025-01-16 Include reproducible code steps Modify factor levels Factor level modifications possible converting factors numeric > cutting numeric desired fixed values. 2024-12-12 options date/datetime/time grouping/factoring. Included weekday month-options. 2024-12-12 Graphs plots Correlation matrix plot data exploration Grotta bars ordianl outcomes Coefficient plotting regression analyses (forest plot)","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Andreas Gammelgaard Damsbo. Author, maintainer.","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Damsbo (2025). freesearcheR: Browser Based Data Analysis. R package version 25.1.1, https://agdamsbo.github.io/freesearcheR/, https://github.com/agdamsbo/freesearcheR.","code":"@Manual{,   title = {freesearcheR: Browser Based Data Analysis},   author = {Andreas Gammelgaard Damsbo},   year = {2025},   note = {R package version 25.1.1, https://agdamsbo.github.io/freesearcheR/},   url = {https://github.com/agdamsbo/freesearcheR}, }"},{"path":"https://agdamsbo.github.io/freesearcheR/index.html","id":"freesearcher","dir":"","previous_headings":"","what":"Browser Based Data Analysis","title":"Browser Based Data Analysis","text":"package backbone freesearcheR, free open-source browser based data exploration analysis tool clinicians researchers publication ready output. package freesearcheR-tool part larger initiative democratize health data analysis remove barriers clinicians engage health research. freesearcheR-tool online accessible : link app freely hosted shinyapps.io. feedback welcome can shared GitHub issue. Initiatives funding continued development tool surrounding initiatives ongoing.","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/index.html","id":"install-locally","dir":"","previous_headings":"","what":"Install locally","title":"Browser Based Data Analysis","text":"freesearcheR-tool can also launched locally. data.frame available global environment accessible interface.","code":"require(\"devtools\") devtools::install_github(\"agdamsbo/freesearcheR\") library(freesearcheR) # By loading mtcars to the environment, it will be available # in the interface like any other data.frame data(mtcars) shiny_freesearcheR()"},{"path":"https://agdamsbo.github.io/freesearcheR/index.html","id":"code-of-conduct","dir":"","previous_headings":"","what":"Code of Conduct","title":"Browser Based Data Analysis","text":"Please note freesearcheR project released Contributor Code Conduct. contributing project, agree abide terms.","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/add_class_icon.html","id":null,"dir":"Reference","previous_headings":"","what":"Convert class grid column to icon — add_class_icon","title":"Convert class grid column to icon — add_class_icon","text":"Convert class grid column icon","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/add_class_icon.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Convert class grid column to icon — add_class_icon","text":"","code":"add_class_icon(grid, column = \"class\")"},{"path":"https://agdamsbo.github.io/freesearcheR/reference/add_class_icon.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Convert class grid column to icon — add_class_icon","text":"grid grid column column","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/add_class_icon.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Convert class grid column to icon — add_class_icon","text":"datagrid","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/add_class_icon.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Convert class grid column to icon — add_class_icon","text":"","code":"mtcars |>   overview_vars() |>   toastui::datagrid() |>   add_class_icon()      {\"x\":{\"nrow\":11,\"ncol\":6,\"data\":[[\"numeric\",\"numeric\",\"numeric\",\"numeric\",\"numeric\",\"numeric\",\"numeric\",\"numeric\",\"numeric\",\"numeric\",\"numeric\"],[\"mpg\",\"cyl\",\"disp\",\"hp\",\"drat\",\"wt\",\"qsec\",\"vs\",\"am\",\"gear\",\"carb\"],[0,0,0,0,0,0,0,0,0,0,0],[1,1,1,1,1,1,1,1,1,1,1],[25,3,27,22,22,29,30,2,2,3,6],[[21,21,22.8,21.4,18.7,18.1,14.3,24.4,22.8,19.2,17.8,16.4,17.3,15.2,10.4,10.4,14.7,32.4,30.4,33.9,21.5,15.5,15.2,13.3,19.2,27.3,26,30.4,15.8,19.7,15,21.4],[6,6,4,6,8,6,8,4,4,6,6,8,8,8,8,8,8,4,4,4,4,8,8,8,8,4,4,4,8,6,8,4],[160,160,108,258,360,225,360,146.7,140.8,167.6,167.6,275.8,275.8,275.8,472,460,440,78.7,75.7,71.09999999999999,120.1,318,304,350,400,79,120.3,95.09999999999999,351,145,301,121],[110,110,93,110,175,105,245,62,95,123,123,180,180,180,205,215,230,66,52,65,97,150,150,245,175,66,91,113,264,175,335,109],[3.9,3.9,3.85,3.08,3.15,2.76,3.21,3.69,3.92,3.92,3.92,3.07,3.07,3.07,2.93,3,3.23,4.08,4.93,4.22,3.7,2.76,3.15,3.73,3.08,4.08,4.43,3.77,4.22,3.62,3.54,4.11],[2.62,2.875,2.32,3.215,3.44,3.46,3.57,3.19,3.15,3.44,3.44,4.07,3.73,3.78,5.25,5.424,5.345,2.2,1.615,1.835,2.465,3.52,3.435,3.84,3.845,1.935,2.14,1.513,3.17,2.77,3.57,2.78],[16.46,17.02,18.61,19.44,17.02,20.22,15.84,20,22.9,18.3,18.9,17.4,17.6,18,17.98,17.82,17.42,19.47,18.52,19.9,20.01,16.87,17.3,15.41,17.05,18.9,16.7,16.9,14.5,15.5,14.6,18.6],[0,0,1,1,0,1,0,1,1,1,1,0,0,0,0,0,0,1,1,1,1,0,0,0,0,1,0,1,0,0,0,1],[1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,0,0,0,0,0,1,1,1,1,1,1,1],[4,4,4,3,3,3,3,4,4,4,4,3,3,3,3,3,3,4,4,4,3,3,3,3,3,4,5,5,5,5,5,4],[4,4,1,1,2,1,4,2,2,4,4,3,3,3,4,4,4,1,2,1,1,2,2,4,2,1,2,2,4,6,8,2]]],\"colnames\":[\"class\",\"name\",\"n_missing\",\"p_complete\",\"n_unique\",\"vals\"],\"options\":{\"columns\":[{\"header\":\"class\",\"name\":\"class\",\"sortable\":true,\"align\":\"left\",\"whiteSpace\":\"normal\",\"renderer\":{\"styles\":{\"wordBreak\":\"normal\"},\"type\":\"datagrid.renderer.format\",\"options\":{\"formatted\":[\"<i class=\\\"fas fa-calculator\\\" role=\\\"presentation\\\" aria-label=\\\"calculator icon\\\"><\\/i>\",\"<i class=\\\"fas fa-calculator\\\" role=\\\"presentation\\\" aria-label=\\\"calculator icon\\\"><\\/i>\",\"<i class=\\\"fas fa-calculator\\\" role=\\\"presentation\\\" aria-label=\\\"calculator icon\\\"><\\/i>\",\"<i class=\\\"fas fa-calculator\\\" role=\\\"presentation\\\" aria-label=\\\"calculator icon\\\"><\\/i>\",\"<i class=\\\"fas fa-calculator\\\" role=\\\"presentation\\\" aria-label=\\\"calculator icon\\\"><\\/i>\",\"<i class=\\\"fas fa-calculator\\\" role=\\\"presentation\\\" aria-label=\\\"calculator icon\\\"><\\/i>\",\"<i class=\\\"fas fa-calculator\\\" role=\\\"presentation\\\" aria-label=\\\"calculator icon\\\"><\\/i>\",\"<i class=\\\"fas fa-calculator\\\" role=\\\"presentation\\\" aria-label=\\\"calculator icon\\\"><\\/i>\",\"<i class=\\\"fas fa-calculator\\\" role=\\\"presentation\\\" aria-label=\\\"calculator icon\\\"><\\/i>\",\"<i class=\\\"fas fa-calculator\\\" role=\\\"presentation\\\" aria-label=\\\"calculator icon\\\"><\\/i>\",\"<i class=\\\"fas fa-calculator\\\" role=\\\"presentation\\\" aria-label=\\\"calculator icon\\\"><\\/i>\"]}},\"width\":60},{\"header\":\"name\",\"name\":\"name\",\"sortable\":true,\"align\":\"left\",\"whiteSpace\":\"normal\",\"renderer\":{\"styles\":{\"wordBreak\":\"normal\"}}},{\"header\":\"n_missing\",\"name\":\"n_missing\",\"sortable\":true,\"align\":\"right\",\"whiteSpace\":\"normal\",\"renderer\":{\"styles\":{\"wordBreak\":\"normal\"}}},{\"header\":\"p_complete\",\"name\":\"p_complete\",\"sortable\":true,\"align\":\"right\",\"whiteSpace\":\"normal\",\"renderer\":{\"styles\":{\"wordBreak\":\"normal\"}}},{\"header\":\"n_unique\",\"name\":\"n_unique\",\"sortable\":true,\"align\":\"right\",\"whiteSpace\":\"normal\",\"renderer\":{\"styles\":{\"wordBreak\":\"normal\"}}},{\"header\":\"vals\",\"name\":\"vals\",\"sortable\":true,\"align\":\"left\",\"whiteSpace\":\"normal\",\"renderer\":{\"styles\":{\"wordBreak\":\"normal\"}}}],\"bodyHeight\":\"fitToParent\",\"draggable\":false,\"usageStatistics\":false,\"contextMenu\":null,\"rowHeight\":\"auto\"},\"theme\":\"clean\",\"themeOptions\":{\"cell\":{\"normal\":{\"showHorizontalBorder\":true}}},\"language\":\"en\",\"languageOptions\":[],\"filters\":false,\"rowAttributes\":[],\"validationInput\":false,\"dataAsInput\":false,\"dragInput\":false},\"evals\":[\"options.columns.0.renderer.type\"],\"jsHooks\":[]}"},{"path":"https://agdamsbo.github.io/freesearcheR/reference/add_sparkline.html","id":null,"dir":"Reference","previous_headings":"","what":"Add sparkline to datagrid — add_sparkline","title":"Add sparkline to datagrid — add_sparkline","text":"Add sparkline datagrid","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/add_sparkline.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Add sparkline to datagrid — add_sparkline","text":"","code":"add_sparkline(   grid,   column = \"vals\",   color.main = \"#2a8484\",   color.sec = \"#84EF84\" )"},{"path":"https://agdamsbo.github.io/freesearcheR/reference/add_sparkline.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Add sparkline to datagrid — add_sparkline","text":"grid grid column clumn transform","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/add_sparkline.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Add sparkline to datagrid — add_sparkline","text":"datagrid","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/add_sparkline.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Add sparkline to datagrid — add_sparkline","text":"","code":"grid <- mtcars |>   default_parsing() |>   overview_vars() |>   toastui::datagrid() |>   add_sparkline() grid      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(Q1, Q3); n (%)     mtcars |> baseline_table(fun.args = list(by = \"gear\"))     Characteristic       3 N = 151       4 N = 121       5 N = 51     mpg 15.5 (14.3, 18.7) 22.8 (21.0, 28.9) 19.7 (15.8, 26.0)cyl       4 1 (6.7%) 8 (67%) 2 (40%)    6 2 (13%) 4 (33%) 1 (20%)    8 12 (80%) 0 (0%) 2 (40%)disp 318 (276, 400) 131 (79, 160) 145 (120, 301)hp 180 (150, 215) 94 (66, 110) 175 (113, 264)drat 3.08 (3.00, 3.21) 3.92 (3.90, 4.10) 3.77 (3.62, 4.22)wt 3.73 (3.44, 4.07) 2.70 (2.07, 3.17) 2.77 (2.14, 3.17)qsec 17.42 (17.02, 18.00) 18.76 (18.41, 19.69) 15.50 (14.60, 16.70)vs 3 (20%) 10 (83%) 1 (20%)am 0 (0%) 8 (67%) 5 (100%)carb       1 3 (20%) 4 (33%) 0 (0%)    2 4 (27%) 4 (33%) 2 (40%)    3 3 (20%) 0 (0%) 0 (0%)    4 5 (33%) 4 (33%) 1 (20%)    6 0 (0%) 0 (0%) 1 (20%)    8 0 (0%) 0 (0%) 1 (20%)1 Median (Q1, Q3); n (%)"},{"path":"https://agdamsbo.github.io/freesearcheR/reference/create_overview_datagrid.html","id":null,"dir":"Reference","previous_headings":"","what":"Create a data overview 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start.on.monday = TRUE,   ... )  # S3 method for class 'POSIXct' cut(   x,   breaks,   right = FALSE,   include.lowest = TRUE,   start.on.monday = TRUE,   ... )  # S3 method for class 'Date' cut(x, breaks, start.on.monday = TRUE, ...)"},{"path":"https://agdamsbo.github.io/freesearcheR/reference/cut.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Extended cutting function — cut.hms","text":"x object inheriting class \"POSIXct\" ... passed ","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/cut.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Extended cutting function — cut.hms","text":"factor","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/cut.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Extended cutting function — cut.hms","text":"","code":"readr::parse_time(c(\"01:00:20\", \"03:00:20\", \"01:20:20\", \"08:20:20\", \"21:20:20\", \"03:02:20\")) |> cut(2) #> [1] 01:00:20 01:00:20 01:00:20 03:01:20 <NA>     03:01:20 #> attr(,\"brks\") #> 01:00:20 #> 03:01:20 #> 21:20:20 #> Levels: 01:00:20 03:01:20 readr::parse_time(c(\"01:00:20\", \"03:00:20\", \"01:20:20\", \"08:20:20\", \"21:20:20\", \"03:02:20\")) |> cut(\"min\") #> [1] 01:00:00 03:00:00 01:20:00 08:20:00 21:20:00 03:02:00 #> attr(,\"brks\") #> 01:00:00 #> 01:20:00 #> 03:00:00 #> 03:02:00 #> 08:20:00 #> 21:20:00 #> 21:20:20 #> Levels: 01:00:00 01:20:00 03:00:00 03:02:00 08:20:00 21:20:00 readr::parse_time(c(\"01:00:20\", \"03:00:20\", \"01:20:20\", \"08:20:20\", \"21:20:20\", \"03:02:20\")) |> cut(breaks = \"hour\") #> [1] 01:00:00 03:00:00 01:00:00 08:00:00 21:00:00 03:00:00 #> attr(,\"brks\") #> 01:00:00 #> 03:00:00 #> 08:00:00 #> 21:00:00 #> 21:20:20 #> Levels: 01:00:00 03:00:00 08:00:00 21:00:00 readr::parse_time(c(\"01:00:20\", \"03:00:20\", \"01:20:20\", \"08:20:20\", \"21:20:20\", \"03:02:20\")) |> cut(breaks = hms::as_hms(c(\"01:00:00\", \"03:01:20\", \"9:20:20\"))) #> [1] 01:00:00 01:00:00 01:00:00 03:01:20 <NA>     03:01:20 #> attr(,\"brks\") #> 01:00:00 #> 03:01:20 #> 09:20:20 #> Levels: 01:00:00 03:01:20 d_t <- readr::parse_time(c(\"01:00:20\", \"03:00:20\", \"01:20:20\", \"03:02:20\", NA)) f <- d_t |> cut(2) readr::parse_time(c(\"01:00:20\", \"03:00:20\", \"01:20:20\", \"03:02:20\", NA)) |> cut(breaks = lubridate::as_datetime(c(hms::as_hms(levels(f)), hms::as_hms(max(d_t, na.rm = TRUE) + 1))), right = FALSE) #> Warning: tz(): Don't know how to compute timezone for object of class hms/difftime; returning \"UTC\". #> [1] 01:00:20 02:10:20 01:00:20 02:10:20 <NA>     #> attr(,\"brks\") #> 01:00:20 #> 02:10:20 #> 03:02:21 #> Levels: 01:00:20 02:10:20 readr::parse_datetime(c(\"1992-02-01 01:00:20\", \"1992-02-06 03:00:20\", \"1992-05-01 01:20:20\", \"1992-09-01 08:20:20\", \"1999-02-01 21:20:20\", \"1992-12-01 03:02:20\")) |> cut(2) #> [1] 1992-02-01 01:00:20 1992-02-01 01:00:20 1992-02-01 01:00:20 #> [4] 1992-02-01 01:00:20 1999-02-01 21:20:20 1992-02-01 01:00:20 #> Levels: 1992-02-01 01:00:20 1999-02-01 21:20:20 readr::parse_datetime(c(\"1992-02-01 01:00:20\", \"1992-02-06 03:00:20\", \"1992-05-01 01:20:20\", \"1992-09-01 08:20:20\", \"1999-02-01 21:20:20\", \"1992-12-01 03:02:20\")) |> cut(breaks=\"weekday\") #> Error in cut.POSIXt(readr::parse_datetime(c(\"1992-02-01 01:00:20\", \"1992-02-06 03:00:20\",     \"1992-05-01 01:20:20\", \"1992-09-01 08:20:20\", \"1999-02-01 21:20:20\",     \"1992-12-01 03:02:20\")), breaks = \"weekday\"): invalid specification of 'breaks' readr::parse_datetime(c(\"1992-02-01 01:00:20\", \"1992-02-06 03:00:20\", \"1992-05-01 01:20:20\", \"1992-09-01 08:20:20\", \"1999-02-01 21:20:20\", \"1992-12-01 03:02:20\")) |> cut(breaks=\"month_only\") #> Error in cut.POSIXt(readr::parse_datetime(c(\"1992-02-01 01:00:20\", \"1992-02-06 03:00:20\",     \"1992-05-01 01:20:20\", \"1992-09-01 08:20:20\", \"1999-02-01 21:20:20\",     \"1992-12-01 03:02:20\")), breaks = \"month_only\"): invalid specification of 'breaks' as.Date(c(\"1992-02-01 01:00:20\", \"1992-02-06 03:00:20\", \"1992-05-01 01:20:20\", \"1992-09-01 08:20:20\", \"1999-02-01 21:20:20\", \"1992-12-01 03:02:20\")) |> cut(2) #> [1] 1992-02-01 1992-02-01 1992-02-01 1992-02-01 1999-02-01 1992-02-01 #> Levels: 1992-02-01 1999-02-01 as.Date(c(\"1992-02-01 01:00:20\", \"1992-02-06 03:00:20\", \"1992-05-01 01:20:20\", \"1992-09-01 08:20:20\", \"1999-02-01 21:20:20\", \"1992-12-01 03:02:20\")) |> cut(breaks=\"weekday\") #> Error in cut.Date(as.Date(c(\"1992-02-01 01:00:20\", \"1992-02-06 03:00:20\",     \"1992-05-01 01:20:20\", \"1992-09-01 08:20:20\", \"1999-02-01 21:20:20\",     \"1992-12-01 03:02:20\")), breaks = \"weekday\"): invalid specification of 'breaks'"},{"path":"https://agdamsbo.github.io/freesearcheR/reference/data-summary.html","id":null,"dir":"Reference","previous_headings":"","what":"Data summary module — data-summary","title":"Data summary module — data-summary","text":"Data summary module","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/data-summary.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Data summary module — data-summary","text":"","code":"data_summary_ui(id)  data_summary_server(id, data, color.main, color.sec)"},{"path":"https://agdamsbo.github.io/freesearcheR/reference/data-summary.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Data summary module — data-summary","text":"id id data data color.main main color color.sec secondary color","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/data-summary.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Data summary module — data-summary","text":"Shiny ui module shiny server module","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/default_format_arguments.html","id":null,"dir":"Reference","previous_headings":"","what":"Defaults qmd formats — default_format_arguments","title":"Defaults qmd formats — default_format_arguments","text":"Defaults qmd formats","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/default_format_arguments.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Defaults qmd formats — default_format_arguments","text":"","code":"default_format_arguments()"},{"path":"https://agdamsbo.github.io/freesearcheR/reference/default_format_arguments.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Defaults qmd formats — default_format_arguments","text":"list","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/default_parsing.html","id":null,"dir":"Reference","previous_headings":"","what":"Default data parsing — default_parsing","title":"Default data parsing — default_parsing","text":"Default data parsing","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/default_parsing.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Default data parsing — default_parsing","text":"","code":"default_parsing(data)"},{"path":"https://agdamsbo.github.io/freesearcheR/reference/default_parsing.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Default data parsing — default_parsing","text":"data data","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/default_parsing.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Default data parsing — default_parsing","text":"data.frame tibble","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/default_parsing.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Default data parsing — default_parsing","text":"","code":"mtcars |> str() #> 'data.frame':\t32 obs. of  11 variables: #>  $ mpg : num  21 21 22.8 21.4 18.7 18.1 14.3 24.4 22.8 19.2 ... #>  $ cyl : num  6 6 4 6 8 6 8 4 4 6 ... #>  $ disp: num  160 160 108 258 360 ... #>  $ hp  : num  110 110 93 110 175 105 245 62 95 123 ... #>  $ drat: num  3.9 3.9 3.85 3.08 3.15 2.76 3.21 3.69 3.92 3.92 ... #>  $ wt  : num  2.62 2.88 2.32 3.21 3.44 ... #>  $ qsec: num  16.5 17 18.6 19.4 17 ... #>  $ vs  : num  0 0 1 1 0 1 0 1 1 1 ... #>  $ am  : num  1 1 1 0 0 0 0 0 0 0 ... #>  $ gear: num  4 4 4 3 3 3 3 4 4 4 ... #>  $ carb: num  4 4 1 1 2 1 4 2 2 4 ... mtcars |>   default_parsing() |>   str() #> tibble [32 × 11] (S3: tbl_df/tbl/data.frame) #>  $ mpg : num [1:32] 21 21 22.8 21.4 18.7 18.1 14.3 24.4 22.8 19.2 ... #>  $ cyl : Factor w/ 3 levels \"4\",\"6\",\"8\": 2 2 1 2 3 2 3 1 1 2 ... #>  $ disp: num [1:32] 160 160 108 258 360 ... #>  $ hp  : num [1:32] 110 110 93 110 175 105 245 62 95 123 ... #>  $ drat: num [1:32] 3.9 3.9 3.85 3.08 3.15 2.76 3.21 3.69 3.92 3.92 ... #>  $ wt  : num [1:32] 2.62 2.88 2.32 3.21 3.44 ... #>  $ qsec: num [1:32] 16.5 17 18.6 19.4 17 ... #>  $ vs  : Factor w/ 2 levels \"0\",\"1\": 1 1 2 2 1 2 1 2 2 2 ... #>  $ am  : Factor w/ 2 levels \"0\",\"1\": 2 2 2 1 1 1 1 1 1 1 ... #>  $ gear: Factor w/ 3 levels \"3\",\"4\",\"5\": 2 2 2 1 1 1 1 2 2 2 ... #>  $ carb: Factor w/ 6 levels \"1\",\"2\",\"3\",\"4\",..: 4 4 1 1 2 1 4 2 2 4 ..."},{"path":"https://agdamsbo.github.io/freesearcheR/reference/factorize.html","id":null,"dir":"Reference","previous_headings":"","what":"Factorize variables in data.frame — factorize","title":"Factorize variables in data.frame — factorize","text":"Factorize variables data.frame","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/factorize.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Factorize variables in data.frame — factorize","text":"","code":"factorize(data, vars)"},{"path":"https://agdamsbo.github.io/freesearcheR/reference/factorize.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Factorize variables in data.frame — factorize","text":"data data.frame vars variables force factorize","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/factorize.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Factorize variables in data.frame — factorize","text":"data.frame","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/file_export.html","id":null,"dir":"Reference","previous_headings":"","what":"Title — file_export","title":"Title — file_export","text":"Title","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/file_export.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Title — file_export","text":"","code":"file_export(data, output.format = c(\"df\", \"teal\", \"list\"), filename, ...)"},{"path":"https://agdamsbo.github.io/freesearcheR/reference/file_export.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Title — file_export","text":"data data output.format output filename filename ... passed ","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/file_export.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Title — file_export","text":"data","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/format_writer.html","id":null,"dir":"Reference","previous_headings":"","what":"Merges list of named arguments for qmd header generation — format_writer","title":"Merges list of named arguments for qmd header generation — format_writer","text":"Merges list named arguments qmd header generation","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/format_writer.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Merges list of named arguments for qmd header generation — format_writer","text":"","code":"format_writer(data, name)"},{"path":"https://agdamsbo.github.io/freesearcheR/reference/format_writer.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Merges list of named arguments for qmd header generation — format_writer","text":"data vector name name","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/format_writer.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Merges list of named arguments for qmd header generation — format_writer","text":"vector","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/getfun.html","id":null,"dir":"Reference","previous_headings":"","what":"Wrapper function to get function from character vector referring to function from namespace. Passed to 'do.call()' — getfun","title":"Wrapper function to get function from character vector referring to function from namespace. Passed to 'do.call()' — getfun","text":"function follows idea comment: https://stackoverflow.com/questions/38983179/-call--function--r-without-loading--package","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/getfun.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Wrapper function to get function from character vector referring to function from namespace. Passed to 'do.call()' — getfun","text":"","code":"getfun(x)"},{"path":"https://agdamsbo.github.io/freesearcheR/reference/getfun.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Wrapper function to get function from character vector referring to function from namespace. Passed to 'do.call()' — getfun","text":"x function function name","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/getfun.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Wrapper function to get function from character vector referring to function from namespace. Passed to 'do.call()' — getfun","text":"function character vector","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/getfun.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Wrapper function to get function from character vector referring to function from namespace. Passed to 'do.call()' — getfun","text":"","code":"getfun(\"stats::lm\") #> function (formula, data, subset, weights, na.action, method = \"qr\",  #>     model = TRUE, x = FALSE, y = FALSE, qr = TRUE, singular.ok = TRUE,  #>     contrasts = NULL, offset, ...)  #> { #>     ret.x <- x #>     ret.y <- y #>     cl <- match.call() #>     mf <- match.call(expand.dots = FALSE) #>     m <- match(c(\"formula\", \"data\", \"subset\", \"weights\", \"na.action\",  #>         \"offset\"), names(mf), 0L) #>     mf <- mf[c(1L, m)] #>     mf$drop.unused.levels <- TRUE #>     mf[[1L]] <- quote(stats::model.frame) #>     mf <- eval(mf, parent.frame()) #>     if (method == \"model.frame\")  #>         return(mf) #>     else if (method != \"qr\")  #>         warning(gettextf(\"method = '%s' is not supported. Using 'qr'\",  #>             method), domain = NA) #>     mt <- attr(mf, \"terms\") #>     y <- model.response(mf, \"numeric\") #>     w <- as.vector(model.weights(mf)) #>     if (!is.null(w) && !is.numeric(w))  #>         stop(\"'weights' must be a numeric vector\") #>     offset <- model.offset(mf) #>     mlm <- is.matrix(y) #>     ny <- if (mlm)  #>         nrow(y) #>     else length(y) #>     if (!is.null(offset)) { #>         if (!mlm)  #>             offset <- as.vector(offset) #>         if (NROW(offset) != ny)  #>             stop(gettextf(\"number of offsets is %d, should equal %d (number of observations)\",  #>                 NROW(offset), ny), domain = NA) #>     } #>     if (is.empty.model(mt)) { #>         x <- NULL #>         z <- list(coefficients = if (mlm) matrix(NA_real_, 0,  #>             ncol(y)) else numeric(), residuals = y, fitted.values = 0 *  #>             y, weights = w, rank = 0L, df.residual = if (!is.null(w)) sum(w !=  #>             0) else ny) #>         if (!is.null(offset)) { #>             z$fitted.values <- offset #>             z$residuals <- y - offset #>         } #>     } #>     else { #>         x <- model.matrix(mt, mf, contrasts) #>         z <- if (is.null(w))  #>             lm.fit(x, y, offset = offset, singular.ok = singular.ok,  #>                 ...) #>         else lm.wfit(x, y, w, offset = offset, singular.ok = singular.ok,  #>             ...) #>     } #>     class(z) <- c(if (mlm) \"mlm\", \"lm\") #>     z$na.action <- attr(mf, \"na.action\") #>     z$offset <- offset #>     z$contrasts <- attr(x, \"contrasts\") #>     z$xlevels <- .getXlevels(mt, mf) #>     z$call <- cl #>     z$terms <- mt #>     if (model)  #>         z$model <- mf #>     if (ret.x)  #>         z$x <- x #>     if (ret.y)  #>         z$y <- y #>     if (!qr)  #>         z$qr <- NULL #>     z #> } #> <bytecode: 0x562fdf0fc768> #> <environment: namespace:stats>"},{"path":"https://agdamsbo.github.io/freesearcheR/reference/index_embed.html","id":null,"dir":"Reference","previous_headings":"","what":"Split vector by an index and embed addition — index_embed","title":"Split vector by an index and embed addition — index_embed","text":"Split vector index embed addition","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/index_embed.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Split vector by an index and embed addition — index_embed","text":"","code":"index_embed(data, index, add = NULL)"},{"path":"https://agdamsbo.github.io/freesearcheR/reference/index_embed.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Split vector by an index and embed addition — index_embed","text":"data vector index split index add addition","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/index_embed.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Split vector by an index and embed addition — index_embed","text":"vector","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/is_any_class.html","id":null,"dir":"Reference","previous_headings":"","what":"Test class — is_any_class","title":"Test class — is_any_class","text":"Test class","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/is_any_class.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Test class — is_any_class","text":"","code":"is_any_class(data, class.vec)"},{"path":"https://agdamsbo.github.io/freesearcheR/reference/is_any_class.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Test class — is_any_class","text":"data data class.vec vector class names test","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/is_any_class.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Test class — is_any_class","text":"factor","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/is_any_class.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Test class — is_any_class","text":"","code":"if (FALSE) { # \\dontrun{ vapply(REDCapCAST::redcapcast_data, \\(.x){   is_any_class(.x, c(\"hms\", \"Date\", \"POSIXct\", \"POSIXt\")) }, logical(1)) } # }"},{"path":"https://agdamsbo.github.io/freesearcheR/reference/is_consecutive.html","id":null,"dir":"Reference","previous_headings":"","what":"Checks if elements in vector are equally spaced as indication of ID — is_consecutive","title":"Checks if elements in vector are equally spaced as indication of ID — is_consecutive","text":"Checks elements vector equally spaced indication ID","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/is_consecutive.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Checks if elements in vector are equally spaced as indication of ID — is_consecutive","text":"","code":"is_consecutive(data)"},{"path":"https://agdamsbo.github.io/freesearcheR/reference/is_consecutive.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Checks if elements in vector are equally spaced as indication of ID — is_consecutive","text":"data vector","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/is_consecutive.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Checks if elements in vector are equally spaced as indication of ID — is_consecutive","text":"logical","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/is_consecutive.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Checks if elements in vector are equally spaced as indication of ID — is_consecutive","text":"","code":"1:10 |> is_consecutive() #> [1] TRUE sample(1:100,40) |> is_consecutive() #> [1] FALSE"},{"path":"https://agdamsbo.github.io/freesearcheR/reference/is_datetime.html","id":null,"dir":"Reference","previous_headings":"","what":"Test is date/datetime/time — is_datetime","title":"Test is date/datetime/time — is_datetime","text":"Test date/datetime/time","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/is_datetime.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Test is date/datetime/time — is_datetime","text":"","code":"is_datetime(data)"},{"path":"https://agdamsbo.github.io/freesearcheR/reference/is_datetime.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Test is date/datetime/time — is_datetime","text":"data data","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/is_datetime.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Test is date/datetime/time — is_datetime","text":"factor","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/is_datetime.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Test is date/datetime/time — is_datetime","text":"","code":"vapply(REDCapCAST::redcapcast_data, is_datetime, logical(1)) #>                    record_id            redcap_event_name  #>                        FALSE                        FALSE  #>     redcap_repeat_instrument       redcap_repeat_instance  #>                        FALSE                        FALSE  #>                          cpr                    inclusion  #>                        FALSE                         TRUE  #>               inclusion_time                          dob  #>                         TRUE                         TRUE  #>                          age                  age_integer  #>                        FALSE                        FALSE  #>                          sex                 cohabitation  #>                        FALSE                        FALSE  #>                 hypertension                     diabetes  #>                        FALSE                        FALSE  #>                       region baseline_data_start_complete  #>                        FALSE                        FALSE  #>                 mrs_assessed                     mrs_date  #>                        FALSE                         TRUE  #>                    mrs_score                 mrs_complete  #>                        FALSE                        FALSE  #>                      con_mrs                     con_calc  #>                        FALSE                        FALSE  #>           consensus_complete               event_datetime  #>                        FALSE                         TRUE  #>                    event_age                   event_type  #>                        FALSE                        FALSE  #>           new_event_complete  #>                        FALSE"},{"path":"https://agdamsbo.github.io/freesearcheR/reference/m_datafileUI.html","id":null,"dir":"Reference","previous_headings":"","what":"Shiny UI module to load a data file — m_datafileUI","title":"Shiny UI module to load a data file — m_datafileUI","text":"Shiny UI module load data file","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/m_datafileUI.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Shiny UI module to load a data file — m_datafileUI","text":"","code":"m_datafileUI(id)"},{"path":"https://agdamsbo.github.io/freesearcheR/reference/m_datafileUI.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Shiny UI module to load a data file — m_datafileUI","text":"id id","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/m_datafileUI.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Shiny UI module to load a data file — m_datafileUI","text":"shiny UI","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/modify_qmd.html","id":null,"dir":"Reference","previous_headings":"","what":"Wrapper to modify quarto file to render specific formats — modify_qmd","title":"Wrapper to modify quarto file to render specific formats — modify_qmd","text":"Wrapper modify quarto file render specific formats","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/modify_qmd.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Wrapper to modify quarto file to render specific formats — modify_qmd","text":"","code":"modify_qmd(file, format)"},{"path":"https://agdamsbo.github.io/freesearcheR/reference/modify_qmd.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Wrapper to modify quarto file to render specific formats — modify_qmd","text":"file filename format desired output","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/modify_qmd.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Wrapper to modify quarto file to render specific formats — modify_qmd","text":"none","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/overview_vars.html","id":null,"dir":"Reference","previous_headings":"","what":"Create a data overview data.frame ready for sparklines — overview_vars","title":"Create a data overview data.frame ready for sparklines — overview_vars","text":"Create data overview data.frame ready sparklines","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/overview_vars.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Create a data overview data.frame ready for sparklines — overview_vars","text":"","code":"overview_vars(data)"},{"path":"https://agdamsbo.github.io/freesearcheR/reference/overview_vars.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Create a data overview data.frame ready for sparklines — overview_vars","text":"data data","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/overview_vars.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Create a data overview data.frame ready for sparklines — overview_vars","text":"data.frame","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/overview_vars.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Create a data overview data.frame ready for sparklines — overview_vars","text":"","code":"mtcars |> overview_vars() #> # A tibble: 11 × 6 #>    class   name  n_missing p_complete n_unique vals         #>    <chr>   <chr>     <dbl>      <dbl>    <int> <named list> #>  1 numeric mpg           0          1       25 <dbl [32]>   #>  2 numeric cyl           0          1        3 <dbl [32]>   #>  3 numeric disp          0          1       27 <dbl [32]>   #>  4 numeric hp            0          1       22 <dbl [32]>   #>  5 numeric drat          0          1       22 <dbl [32]>   #>  6 numeric wt            0          1       29 <dbl [32]>   #>  7 numeric qsec          0          1       30 <dbl [32]>   #>  8 numeric vs            0          1        2 <dbl [32]>   #>  9 numeric am            0          1        2 <dbl [32]>   #> 10 numeric gear          0          1        3 <dbl [32]>   #> 11 numeric carb          0          1        6 <dbl [32]>"},{"path":"https://agdamsbo.github.io/freesearcheR/reference/read_input.html","id":null,"dir":"Reference","previous_headings":"","what":"Flexible file import based on extension — read_input","title":"Flexible file import based on extension — read_input","text":"Flexible file import based extension","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/read_input.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Flexible file import based on extension — read_input","text":"","code":"read_input(file, consider.na = c(\"NA\", \"\\\"\\\"\", \"\"))"},{"path":"https://agdamsbo.github.io/freesearcheR/reference/read_input.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Flexible file import based on extension — read_input","text":"file file name consider.na character vector strings consider NAs","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/read_input.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Flexible file import based on extension — read_input","text":"tibble","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/read_input.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Flexible file import based on extension — read_input","text":"","code":"read_input(\"https://raw.githubusercontent.com/agdamsbo/cognitive.index.lookup/main/data/sample.csv\") #> Rows: 28 Columns: 8 #> ── Column specification ──────────────────────────────────────────────────────── #> Delimiter: \",\" #> dbl (8): id, ab, age, imm, vis, ver, att, del #>  #> ℹ Use `spec()` to retrieve the full column specification for this data. #> ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message. #> # A tibble: 28 × 8 #>       id    ab   age   imm   vis   ver   att   del #>    <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> #>  1     1     1    74    38    35    30    29    35 #>  2     1     2    69    36    36    21    27    37 #>  3     2     1    63    32    31    26    34    38 #>  4     2     2    64    37    34    26    36    46 #>  5     3     1    69    39    33    31    47    29 #>  6     3     2    70    40    36    31    46    25 #>  7     4     1    79    44    37    20    37    36 #>  8     4     2    81    35    36    31    37    40 #>  9     5     1    77    35    26    17    20    36 #> 10     5     2    80    29    34    18    23    36 #> # ℹ 18 more rows"},{"path":"https://agdamsbo.github.io/freesearcheR/reference/redcap_read_shiny_module.html","id":null,"dir":"Reference","previous_headings":"","what":"Shiny module to browser and export REDCap data — m_redcap_readUI","title":"Shiny module to browser and export REDCap data — m_redcap_readUI","text":"Shiny module browser export REDCap data REDCap import teal data module Test app redcap_read_shiny_module","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/redcap_read_shiny_module.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Shiny module to browser and export REDCap data — m_redcap_readUI","text":"","code":"m_redcap_readUI(id, include_title = TRUE)  m_redcap_readServer(id, output.format = c(\"df\", \"teal\", \"list\"))  tdm_redcap_read  redcap_app()"},{"path":"https://agdamsbo.github.io/freesearcheR/reference/redcap_read_shiny_module.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Shiny module to browser and export REDCap data — m_redcap_readUI","text":"object class teal_data_module length 2.","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/redcap_read_shiny_module.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Shiny module to browser and export REDCap data — m_redcap_readUI","text":"id Namespace id include_title logical include title output.format data.frame (\"df\") teal data object (\"teal\")","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/redcap_read_shiny_module.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Shiny module to browser and export REDCap data — m_redcap_readUI","text":"shiny ui element shiny server module","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/redcap_read_shiny_module.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Shiny module to browser and export REDCap data — m_redcap_readUI","text":"","code":"if (FALSE) { # \\dontrun{ redcap_app() } # }"},{"path":"https://agdamsbo.github.io/freesearcheR/reference/regression_model.html","id":null,"dir":"Reference","previous_headings":"","what":"Create a regression model programatically — regression_model","title":"Create a regression model programatically — regression_model","text":"Create regression model programatically","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/regression_model.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Create a regression model programatically — regression_model","text":"","code":"regression_model(   data,   outcome.str,   auto.mode = TRUE,   formula.str = NULL,   args.list = NULL,   fun = NULL,   vars = NULL,   ... )"},{"path":"https://agdamsbo.github.io/freesearcheR/reference/regression_model.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Create a regression model programatically — regression_model","text":"data data set outcome.str Name outcome variable. Character vector. auto.mode Make assumptions function dependent outcome data format. Overwrites arguments. formula.str Formula string. Passed 'glue::glue'. given, 'outcome.str' 'vars' ignored. Optional. args.list List arguments passed 'fun' '.call'. fun Name function character vector function use model creation. vars character vector variables include ... ignored now","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/regression_model.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Create a regression model programatically — regression_model","text":"object standard class fun","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/regression_model.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Create a regression model programatically — regression_model","text":"","code":"gtsummary::trial |>   regression_model(outcome.str = \"age\") #>  #> Call: #> (function (formula, data, subset, weights, na.action, method = \"qr\",  #>     model = TRUE, x = FALSE, y = FALSE, qr = TRUE, singular.ok = TRUE,  #>     contrasts = NULL, offset, ...)  #> { #>     ret.x <- x #>     ret.y <- y #>     cl <- match.call() #>     mf <- match.call(expand.dots = FALSE) #>     m <- match(c(\"formula\", \"data\", \"subset\", \"weights\", \"na.action\",  #>         \"offset\"), names(mf), 0L) #>     mf <- mf[c(1L, m)] #>     mf$drop.unused.levels <- TRUE #>     mf[[1L]] <- quote(stats::model.frame) #>     mf <- eval(mf, parent.frame()) #>     if (method == \"model.frame\")  #>         return(mf) #>     else if (method != \"qr\")  #>         warning(gettextf(\"method = '%s' is not supported. Using 'qr'\",  #>             method), domain = NA) #>     mt <- attr(mf, \"terms\") #>     y <- model.response(mf, \"numeric\") #>     w <- as.vector(model.weights(mf)) #>     if (!is.null(w) && !is.numeric(w))  #>         stop(\"'weights' must be a numeric vector\") #>     offset <- model.offset(mf) #>     mlm <- is.matrix(y) #>     ny <- if (mlm)  #>         nrow(y) #>     else length(y) #>     if (!is.null(offset)) { #>         if (!mlm)  #>             offset <- as.vector(offset) #>         if (NROW(offset) != ny)  #>             stop(gettextf(\"number of offsets is %d, should equal %d (number of observations)\",  #>                 NROW(offset), ny), domain = NA) #>     } #>     if (is.empty.model(mt)) { #>         x <- NULL #>         z <- list(coefficients = if (mlm) matrix(NA_real_, 0,  #>             ncol(y)) else numeric(), residuals = y, fitted.values = 0 *  #>             y, weights = w, rank = 0L, df.residual = if (!is.null(w)) sum(w !=  #>             0) else ny) #>         if (!is.null(offset)) { #>             z$fitted.values <- offset #>             z$residuals <- y - offset #>         } #>     } #>     else { #>         x <- model.matrix(mt, mf, contrasts) #>         z <- if (is.null(w))  #>             lm.fit(x, y, offset = offset, singular.ok = singular.ok,  #>                 ...) #>         else lm.wfit(x, y, w, offset = offset, singular.ok = singular.ok,  #>             ...) #>     } #>     class(z) <- c(if (mlm) \"mlm\", \"lm\") #>     z$na.action <- attr(mf, \"na.action\") #>     z$offset <- offset #>     z$contrasts <- attr(x, \"contrasts\") #>     z$xlevels <- .getXlevels(mt, mf) #>     z$call <- cl #>     z$terms <- mt #>     if (model)  #>         z$model <- mf #>     if (ret.x)  #>         z$x <- x #>     if (ret.y)  #>         z$y <- y #>     if (!qr)  #>         z$qr <- NULL #>     z #> })(formula = age ~ trt + marker + stage + grade + response +  #>     death + ttdeath, data = structure(list(trt = structure(c(1L,  #> 2L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L,  #> 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 1L, 2L,  #> 1L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 2L,  #> 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 2L,  #> 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 1L,  #> 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L,  #> 2L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 1L, 1L,  #> 1L, 2L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 1L,  #> 2L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 1L, 2L, 2L,  #> 1L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 2L,  #> 2L, 2L, 1L, 2L, 2L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 1L,  #> 2L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L,  #> 2L, 1L, 2L, 1L, 1L, 1L, 1L), levels = c(\"Drug A\", \"Drug B\"), class = \"factor\", label = \"Chemotherapy Treatment\"),  #>     age = structure(c(23, 9, 31, NA, 51, 39, 37, 32, 31, 34,  #>     42, 63, 54, 21, 48, 71, 38, 49, 57, 46, 47, 52, 61, 38, 34,  #>     49, 63, 67, 68, 78, 36, 37, 53, 36, 51, 48, 57, 31, 37, 28,  #>     40, 49, 61, 56, 54, 71, 38, 31, 48, NA, 83, 52, 32, 53, 69,  #>     60, 45, 39, NA, 38, 36, 71, 31, 43, 57, 53, 25, 44, 25, 30,  #>     51, 40, NA, 43, 21, 54, 67, 43, 54, 41, 34, 34, 6, 39, 36,  #>     58, 27, 47, NA, 50, 61, 47, 52, 51, 68, 33, 65, 34, 38, 60,  #>     10, 49, 56, 50, 60, 49, 54, 39, 48, 65, 47, 61, 34, NA, NA,  #>     58, 26, 44, 17, 68, 57, 66, 44, NA, 67, 48, 62, 35, 53, 53,  #>     66, 55, 57, 47, 58, 43, 45, 44, 63, 59, 44, 53, 51, 28, 65,  #>     63, 76, 61, 33, 48, 42, 36, 55, 20, 26, 50, 47, 74, 50, 31,  #>     45, 51, 66, 76, 47, 48, 56, 70, 46, 43, 41, 41, 19, 49, 43,  #>     43, 75, 52, 42, 37, 45, 35, 67, 38, 44, 45, 39, 46, NA, 42,  #>     60, 31, 45, 38, NA, 19, 69, 66, NA, 64), label = \"Age\"),  #>     marker = structure(c(0.16, 1.107, 0.277, 2.067, 2.767, 0.613,  #>     0.354, 1.739, 0.144, 0.205, 0.513, 0.06, 0.831, 0.258, 0.128,  #>     0.445, 2.083, 0.157, 0.066, 0.325, 0.266, 0.719, 1.713, 0.096,  #>     0.105, 0.043, 0.981, 1.156, 0.105, 0.175, 0.309, 1.869, 2.008,  #>     1.894, 0.16, 1.209, 0.108, 0.611, 0.222, 0.803, 0.37, NA,  #>     0.177, 1.479, 0.161, 0.737, 0.124, 0.092, 0.385, 0.21, 0.475,  #>     1.628, 0.583, NA, 0.702, 1.206, 2.213, 1.406, 0.101, 0.013,  #>     2.032, 1.046, 0.408, 2.636, 1.263, NA, 2.447, 1.041, 0.531,  #>     0.924, 1.087, 0.733, 2.157, 0.333, 1.527, 2.238, 0.153, 0.305,  #>     0.131, 0.386, 1.645, 1.321, 0.229, 0.615, 1.976, 1.941, 0.22,  #>     3.874, 0.982, 1.68, 1.091, 0.169, 0.511, 2.141, 0.599, NA,  #>     0.389, 0.005, 0.075, 1.491, 0.358, 1.709, 0.056, 1.354, 2.522,  #>     0.387, 0.592, 0.243, 0.215, 1.207, 0.29, 0.718, 0.589, 0.003,  #>     1.328, 0.308, 0.691, 3.249, 0.039, 1.804, 0.238, 2.702, 1.441,  #>     0.27, NA, NA, 0.062, 2.19, 0.976, 3.062, 0.124, 0.045, 1.892,  #>     0.711, 1.079, 1.061, 0.239, 0.361, 0.033, 1.133, 1.225, 1.418,  #>     3.751, 3.02, 0.086, 0.772, 1.882, 2.725, 2.41, 0.352, 0.895,  #>     0.215, 0.141, 2.288, 1.658, 1.255, 1.306, 0.081, 0.667, 0.046,  #>     0.662, 1.985, 1.063, 1.55, 0.015, 0.056, NA, 0.51, 0.929,  #>     2.345, 0.25, 0.816, 0.022, 0.16, 0.547, 3.642, 0.092, 1.2,  #>     1.512, 2.124, NA, 0.862, 0.182, 1.075, 0.021, 0.402, 0.063,  #>     1.129, 0.61, NA, 0.717, 0.205, 0.946, 0.386, 0.37, 1.148,  #>     NA, 0.136, 0.439, 1.148), label = \"Marker Level (ng/mL)\"),  #>     stage = structure(c(1L, 2L, 1L, 3L, 4L, 4L, 1L, 1L, 1L, 3L,  #>     1L, 3L, 4L, 4L, 1L, 4L, 4L, 2L, 1L, 1L, 2L, 2L, 4L, 4L, 4L,  #>     2L, 4L, 1L, 4L, 3L, 1L, 2L, 3L, 3L, 3L, 3L, 1L, 1L, 4L, 4L,  #>     3L, 1L, 4L, 3L, 4L, 1L, 1L, 2L, 1L, 4L, 1L, 2L, 2L, 3L, 3L,  #>     2L, 4L, 1L, 4L, 2L, 4L, 1L, 4L, 1L, 4L, 1L, 1L, 1L, 4L, 1L,  #>     2L, 2L, 2L, 1L, 4L, 4L, 2L, 2L, 4L, 4L, 3L, 2L, 4L, 3L, 2L,  #>     4L, 1L, 2L, 1L, 4L, 3L, 3L, 1L, 3L, 2L, 3L, 2L, 2L, 3L, 4L,  #>     4L, 3L, 3L, 2L, 3L, 2L, 2L, 3L, 2L, 1L, 1L, 3L, 4L, 1L, 4L,  #>     3L, 3L, 2L, 4L, 2L, 1L, 2L, 1L, 4L, 3L, 3L, 3L, 2L, 1L, 2L,  #>     1L, 2L, 2L, 1L, 3L, 2L, 1L, 1L, 1L, 3L, 3L, 4L, 1L, 2L, 2L,  #>     1L, 3L, 4L, 2L, 4L, 2L, 1L, 2L, 3L, 1L, 3L, 4L, 2L, 2L, 1L,  #>     2L, 2L, 3L, 1L, 2L, 2L, 1L, 1L, 3L, 2L, 3L, 1L, 1L, 2L, 4L,  #>     2L, 4L, 4L, 2L, 3L, 4L, 3L, 4L, 4L, 1L, 1L, 4L, 4L, 4L, 1L,  #>     2L, 2L, 2L, 4L, 3L, 3L, 2L, 2L, 4L, 3L), levels = c(\"T1\",  #>     \"T2\", \"T3\", \"T4\"), class = \"factor\", label = \"T Stage\"),  #>     grade = structure(c(2L, 1L, 2L, 3L, 3L, 1L, 2L, 1L, 2L, 1L,  #>     3L, 1L, 3L, 1L, 1L, 3L, 3L, 2L, 3L, 2L, 1L, 2L, 1L, 1L, 2L,  #>     3L, 2L, 2L, 2L, 1L, 3L, 2L, 1L, 1L, 1L, 3L, 2L, 2L, 3L, 2L,  #>     2L, 3L, 3L, 1L, 3L, 1L, 3L, 2L, 2L, 2L, 3L, 3L, 3L, 2L, 3L,  #>     1L, 3L, 1L, 2L, 2L, 3L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 3L, 2L,  #>     1L, 3L, 3L, 3L, 2L, 3L, 3L, 1L, 2L, 1L, 1L, 1L, 1L, 3L, 1L,  #>     3L, 1L, 1L, 1L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 2L, 3L, 1L,  #>     3L, 1L, 2L, 2L, 1L, 2L, 2L, 3L, 1L, 3L, 3L, 1L, 1L, 1L, 2L,  #>     3L, 3L, 2L, 1L, 3L, 2L, 1L, 2L, 2L, 2L, 1L, 3L, 3L, 2L, 3L,  #>     1L, 1L, 1L, 2L, 2L, 3L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 3L, 2L,  #>     2L, 2L, 2L, 2L, 1L, 1L, 3L, 2L, 2L, 1L, 2L, 1L, 2L, 3L, 2L,  #>     1L, 1L, 1L, 3L, 1L, 1L, 2L, 1L, 1L, 3L, 3L, 1L, 3L, 2L, 1L,  #>     3L, 1L, 2L, 1L, 1L, 3L, 1L, 2L, 1L, 2L, 2L, 2L, 3L, 2L, 2L,  #>     3L, 2L, 3L, 3L, 2L, 1L, 2L, 3L, 3L, 1L), levels = c(\"I\",  #>     \"II\", \"III\"), class = \"factor\", label = \"Grade\"), response = structure(c(0L,  #>     1L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L,  #>     1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, 1L,  #>     0L, 0L, 1L, 0L, NA, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 1L, 1L, 1L,  #>     1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 1L, 0L,  #>     0L, 0L, 0L, NA, 0L, 1L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 0L,  #>     0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 0L, 0L,  #>     0L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, NA, 0L, 0L, 1L,  #>     0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 1L,  #>     0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 0L,  #>     1L, 1L, NA, 1L, 1L, 1L, 0L, 1L, 0L, 0L, 1L, 0L, NA, 1L, 0L,  #>     0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, 1L, 0L, 0L,  #>     0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 1L, 1L, 0L, 1L, NA, 0L, 1L,  #>     0L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, NA, 0L,  #>     1L, 1L, 0L, 0L), label = \"Tumor Response\"), death = structure(c(0L,  #>     0L, 0L, 1L, 1L, 1L, 0L, 1L, 0L, 1L, 0L, 0L, 1L, 1L, 1L, 1L,  #>     0L, 1L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 0L,  #>     1L, 0L, 0L, 0L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 0L,  #>     0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,  #>     0L, 1L, 0L, 0L, 1L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 1L,  #>     1L, 1L, 1L, 0L, 1L, 0L, 0L, 0L, 1L, 1L, 0L, 1L, 1L, 1L, 1L,  #>     1L, 1L, 0L, 0L, 1L, 1L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 1L, 1L,  #>     1L, 1L, 0L, 1L, 1L, 0L, 1L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 0L,  #>     0L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 0L, 1L,  #>     0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 1L, 0L,  #>     0L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 1L,  #>     1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 1L, 1L, 1L,  #>     0L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 1L, 0L, 1L, 1L, 0L,  #>     1L, 0L, 1L, 0L), label = \"Patient Died\"), ttdeath = structure(c(24,  #>     24, 24, 17.64, 16.43, 15.64, 24, 18.43, 24, 10.53, 24, 24,  #>     14.34, 12.89, 22.68, 8.71, 24, 15.21, 24, 24, 24, 24, 16.92,  #>     23.89, 6.32, 15.77, 24, 24, 15.45, 17.43, 24, 20.9, 24, 24,  #>     24, 21.19, 12.52, 24, 15.59, 18, 18.02, 12.43, 12.1, 24,  #>     17.42, 24, 24, 24, 12.19, 10.02, 18.23, 10.42, 24, 24, 19.34,  #>     12.21, 14.46, 19.34, 10.16, 13.15, 10.12, 24, 22.77, 24,  #>     24, 22.13, 24, 20.62, 23.23, 7.38, 24, 24, 24, 24, 24, 19.22,  #>     7.27, 23.88, 16.23, 24, 14.06, 24, 24, 24, 16.44, 23.81,  #>     24, 18.37, 11.44, 20.94, 5.33, 22.92, 10.33, 24, 24, 14.54,  #>     19.14, 24, 21.19, 16.07, 9.97, 24, 24, 24, 19.75, 16.67,  #>     11.18, 18.29, 24, 17.56, 17.45, 24, 22.86, 13.68, 24, 24,  #>     17.46, 24, 24, 24, 24, 24, 13, 9.73, 15.65, 24, 3.53, 20.35,  #>     23.41, 16.47, 24, 24, 14.65, 17.81, 24, 21.83, 24, 24, 21.49,  #>     12.68, 24, 24, 24, 24, 10.07, 24, 24, 24, 8.37, 20.33, 24,  #>     24, 21.33, 12.63, 13.08, 24, 15.1, 20.14, 10.55, 24, 24,  #>     24, 24, 23.6, 24, 19.98, 15.55, 23.72, 22.41, 19.54, 16.57,  #>     24, 24, 24, 21.91, 24, 12.53, 24, 18.63, 14.82, 16.46, 24,  #>     9.24, 17.77, 24, 24, 9.92, 16.16, 10.51, 20.81, 24, 16.44,  #>     24, 22.4, 11.76, 24, 21.6, 24, 19.81, 24), label = \"Months to Death/Censor\")), class = c(\"tbl_df\",  #> \"tbl\", \"data.frame\"), row.names = c(NA, -200L))) #>  #> Coefficients: #> (Intercept)    trtDrug B       marker      stageT2      stageT3      stageT4   #>     45.9247      -0.4052      -0.1435       2.0519       2.4437      -3.1573   #>     gradeII     gradeIII     response        death      ttdeath   #>      0.1750       1.6855       4.9885       3.0775      -0.1394   #>  gtsummary::trial |>   regression_model(     outcome.str = \"age\",     auto.mode = FALSE,     fun = \"stats::lm\",     formula.str = \"{outcome.str}~.\",     args.list = NULL   ) #>  #> Call: #> (function (formula, data, subset, weights, na.action, method = \"qr\",  #>     model = TRUE, x = FALSE, y = FALSE, qr = TRUE, singular.ok = TRUE,  #>     contrasts = NULL, offset, ...)  #> { #>     ret.x <- x #>     ret.y <- y #>     cl <- match.call() #>     mf <- match.call(expand.dots = FALSE) #>     m <- match(c(\"formula\", \"data\", \"subset\", \"weights\", \"na.action\",  #>         \"offset\"), names(mf), 0L) #>     mf <- mf[c(1L, m)] #>     mf$drop.unused.levels <- TRUE #>     mf[[1L]] <- quote(stats::model.frame) #>     mf <- eval(mf, parent.frame()) #>     if (method == \"model.frame\")  #>         return(mf) #>     else if (method != \"qr\")  #>         warning(gettextf(\"method = '%s' is not supported. Using 'qr'\",  #>             method), domain = NA) #>     mt <- attr(mf, \"terms\") #>     y <- model.response(mf, \"numeric\") #>     w <- as.vector(model.weights(mf)) #>     if (!is.null(w) && !is.numeric(w))  #>         stop(\"'weights' must be a numeric vector\") #>     offset <- model.offset(mf) #>     mlm <- is.matrix(y) #>     ny <- if (mlm)  #>         nrow(y) #>     else length(y) #>     if (!is.null(offset)) { #>         if (!mlm)  #>             offset <- as.vector(offset) #>         if (NROW(offset) != ny)  #>             stop(gettextf(\"number of offsets is %d, should equal %d (number of observations)\",  #>                 NROW(offset), ny), domain = NA) #>     } #>     if (is.empty.model(mt)) { #>         x <- NULL #>         z <- list(coefficients = if (mlm) matrix(NA_real_, 0,  #>             ncol(y)) else numeric(), residuals = y, fitted.values = 0 *  #>             y, weights = w, rank = 0L, df.residual = if (!is.null(w)) sum(w !=  #>             0) else ny) #>         if (!is.null(offset)) { #>             z$fitted.values <- offset #>             z$residuals <- y - offset #>         } #>     } #>     else { #>         x <- model.matrix(mt, mf, contrasts) #>         z <- if (is.null(w))  #>             lm.fit(x, y, offset = offset, singular.ok = singular.ok,  #>                 ...) #>         else lm.wfit(x, y, w, offset = offset, singular.ok = singular.ok,  #>             ...) #>     } #>     class(z) <- c(if (mlm) \"mlm\", \"lm\") #>     z$na.action <- attr(mf, \"na.action\") #>     z$offset <- offset #>     z$contrasts <- attr(x, \"contrasts\") #>     z$xlevels <- .getXlevels(mt, mf) #>     z$call <- cl #>     z$terms <- mt #>     if (model)  #>         z$model <- mf #>     if (ret.x)  #>         z$x <- x #>     if (ret.y)  #>         z$y <- y #>     if (!qr)  #>         z$qr <- NULL #>     z #> })(formula = age ~ ., data = structure(list(trt = structure(c(1L,  #> 2L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L,  #> 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 1L, 2L,  #> 1L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 2L,  #> 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 2L,  #> 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 1L,  #> 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L,  #> 2L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 1L, 1L,  #> 1L, 2L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 1L,  #> 2L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 1L, 2L, 2L,  #> 1L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 2L,  #> 2L, 2L, 1L, 2L, 2L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 1L,  #> 2L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L,  #> 2L, 1L, 2L, 1L, 1L, 1L, 1L), levels = c(\"Drug A\", \"Drug B\"), class = \"factor\", label = \"Chemotherapy Treatment\"),  #>     age = structure(c(23, 9, 31, NA, 51, 39, 37, 32, 31, 34,  #>     42, 63, 54, 21, 48, 71, 38, 49, 57, 46, 47, 52, 61, 38, 34,  #>     49, 63, 67, 68, 78, 36, 37, 53, 36, 51, 48, 57, 31, 37, 28,  #>     40, 49, 61, 56, 54, 71, 38, 31, 48, NA, 83, 52, 32, 53, 69,  #>     60, 45, 39, NA, 38, 36, 71, 31, 43, 57, 53, 25, 44, 25, 30,  #>     51, 40, NA, 43, 21, 54, 67, 43, 54, 41, 34, 34, 6, 39, 36,  #>     58, 27, 47, NA, 50, 61, 47, 52, 51, 68, 33, 65, 34, 38, 60,  #>     10, 49, 56, 50, 60, 49, 54, 39, 48, 65, 47, 61, 34, NA, NA,  #>     58, 26, 44, 17, 68, 57, 66, 44, NA, 67, 48, 62, 35, 53, 53,  #>     66, 55, 57, 47, 58, 43, 45, 44, 63, 59, 44, 53, 51, 28, 65,  #>     63, 76, 61, 33, 48, 42, 36, 55, 20, 26, 50, 47, 74, 50, 31,  #>     45, 51, 66, 76, 47, 48, 56, 70, 46, 43, 41, 41, 19, 49, 43,  #>     43, 75, 52, 42, 37, 45, 35, 67, 38, 44, 45, 39, 46, NA, 42,  #>     60, 31, 45, 38, NA, 19, 69, 66, NA, 64), label = \"Age\"),  #>     marker = structure(c(0.16, 1.107, 0.277, 2.067, 2.767, 0.613,  #>     0.354, 1.739, 0.144, 0.205, 0.513, 0.06, 0.831, 0.258, 0.128,  #>     0.445, 2.083, 0.157, 0.066, 0.325, 0.266, 0.719, 1.713, 0.096,  #>     0.105, 0.043, 0.981, 1.156, 0.105, 0.175, 0.309, 1.869, 2.008,  #>     1.894, 0.16, 1.209, 0.108, 0.611, 0.222, 0.803, 0.37, NA,  #>     0.177, 1.479, 0.161, 0.737, 0.124, 0.092, 0.385, 0.21, 0.475,  #>     1.628, 0.583, NA, 0.702, 1.206, 2.213, 1.406, 0.101, 0.013,  #>     2.032, 1.046, 0.408, 2.636, 1.263, NA, 2.447, 1.041, 0.531,  #>     0.924, 1.087, 0.733, 2.157, 0.333, 1.527, 2.238, 0.153, 0.305,  #>     0.131, 0.386, 1.645, 1.321, 0.229, 0.615, 1.976, 1.941, 0.22,  #>     3.874, 0.982, 1.68, 1.091, 0.169, 0.511, 2.141, 0.599, NA,  #>     0.389, 0.005, 0.075, 1.491, 0.358, 1.709, 0.056, 1.354, 2.522,  #>     0.387, 0.592, 0.243, 0.215, 1.207, 0.29, 0.718, 0.589, 0.003,  #>     1.328, 0.308, 0.691, 3.249, 0.039, 1.804, 0.238, 2.702, 1.441,  #>     0.27, NA, NA, 0.062, 2.19, 0.976, 3.062, 0.124, 0.045, 1.892,  #>     0.711, 1.079, 1.061, 0.239, 0.361, 0.033, 1.133, 1.225, 1.418,  #>     3.751, 3.02, 0.086, 0.772, 1.882, 2.725, 2.41, 0.352, 0.895,  #>     0.215, 0.141, 2.288, 1.658, 1.255, 1.306, 0.081, 0.667, 0.046,  #>     0.662, 1.985, 1.063, 1.55, 0.015, 0.056, NA, 0.51, 0.929,  #>     2.345, 0.25, 0.816, 0.022, 0.16, 0.547, 3.642, 0.092, 1.2,  #>     1.512, 2.124, NA, 0.862, 0.182, 1.075, 0.021, 0.402, 0.063,  #>     1.129, 0.61, NA, 0.717, 0.205, 0.946, 0.386, 0.37, 1.148,  #>     NA, 0.136, 0.439, 1.148), label = \"Marker Level (ng/mL)\"),  #>     stage = structure(c(1L, 2L, 1L, 3L, 4L, 4L, 1L, 1L, 1L, 3L,  #>     1L, 3L, 4L, 4L, 1L, 4L, 4L, 2L, 1L, 1L, 2L, 2L, 4L, 4L, 4L,  #>     2L, 4L, 1L, 4L, 3L, 1L, 2L, 3L, 3L, 3L, 3L, 1L, 1L, 4L, 4L,  #>     3L, 1L, 4L, 3L, 4L, 1L, 1L, 2L, 1L, 4L, 1L, 2L, 2L, 3L, 3L,  #>     2L, 4L, 1L, 4L, 2L, 4L, 1L, 4L, 1L, 4L, 1L, 1L, 1L, 4L, 1L,  #>     2L, 2L, 2L, 1L, 4L, 4L, 2L, 2L, 4L, 4L, 3L, 2L, 4L, 3L, 2L,  #>     4L, 1L, 2L, 1L, 4L, 3L, 3L, 1L, 3L, 2L, 3L, 2L, 2L, 3L, 4L,  #>     4L, 3L, 3L, 2L, 3L, 2L, 2L, 3L, 2L, 1L, 1L, 3L, 4L, 1L, 4L,  #>     3L, 3L, 2L, 4L, 2L, 1L, 2L, 1L, 4L, 3L, 3L, 3L, 2L, 1L, 2L,  #>     1L, 2L, 2L, 1L, 3L, 2L, 1L, 1L, 1L, 3L, 3L, 4L, 1L, 2L, 2L,  #>     1L, 3L, 4L, 2L, 4L, 2L, 1L, 2L, 3L, 1L, 3L, 4L, 2L, 2L, 1L,  #>     2L, 2L, 3L, 1L, 2L, 2L, 1L, 1L, 3L, 2L, 3L, 1L, 1L, 2L, 4L,  #>     2L, 4L, 4L, 2L, 3L, 4L, 3L, 4L, 4L, 1L, 1L, 4L, 4L, 4L, 1L,  #>     2L, 2L, 2L, 4L, 3L, 3L, 2L, 2L, 4L, 3L), levels = c(\"T1\",  #>     \"T2\", \"T3\", \"T4\"), class = \"factor\", label = \"T Stage\"),  #>     grade = structure(c(2L, 1L, 2L, 3L, 3L, 1L, 2L, 1L, 2L, 1L,  #>     3L, 1L, 3L, 1L, 1L, 3L, 3L, 2L, 3L, 2L, 1L, 2L, 1L, 1L, 2L,  #>     3L, 2L, 2L, 2L, 1L, 3L, 2L, 1L, 1L, 1L, 3L, 2L, 2L, 3L, 2L,  #>     2L, 3L, 3L, 1L, 3L, 1L, 3L, 2L, 2L, 2L, 3L, 3L, 3L, 2L, 3L,  #>     1L, 3L, 1L, 2L, 2L, 3L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 3L, 2L,  #>     1L, 3L, 3L, 3L, 2L, 3L, 3L, 1L, 2L, 1L, 1L, 1L, 1L, 3L, 1L,  #>     3L, 1L, 1L, 1L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 2L, 3L, 1L,  #>     3L, 1L, 2L, 2L, 1L, 2L, 2L, 3L, 1L, 3L, 3L, 1L, 1L, 1L, 2L,  #>     3L, 3L, 2L, 1L, 3L, 2L, 1L, 2L, 2L, 2L, 1L, 3L, 3L, 2L, 3L,  #>     1L, 1L, 1L, 2L, 2L, 3L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 3L, 2L,  #>     2L, 2L, 2L, 2L, 1L, 1L, 3L, 2L, 2L, 1L, 2L, 1L, 2L, 3L, 2L,  #>     1L, 1L, 1L, 3L, 1L, 1L, 2L, 1L, 1L, 3L, 3L, 1L, 3L, 2L, 1L,  #>     3L, 1L, 2L, 1L, 1L, 3L, 1L, 2L, 1L, 2L, 2L, 2L, 3L, 2L, 2L,  #>     3L, 2L, 3L, 3L, 2L, 1L, 2L, 3L, 3L, 1L), levels = c(\"I\",  #>     \"II\", \"III\"), class = \"factor\", label = \"Grade\"), response = structure(c(0L,  #>     1L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L,  #>     1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, 1L,  #>     0L, 0L, 1L, 0L, NA, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 1L, 1L, 1L,  #>     1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 1L, 0L,  #>     0L, 0L, 0L, NA, 0L, 1L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 0L,  #>     0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 0L, 0L,  #>     0L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, NA, 0L, 0L, 1L,  #>     0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 1L,  #>     0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 0L,  #>     1L, 1L, NA, 1L, 1L, 1L, 0L, 1L, 0L, 0L, 1L, 0L, NA, 1L, 0L,  #>     0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, 1L, 0L, 0L,  #>     0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 1L, 1L, 0L, 1L, NA, 0L, 1L,  #>     0L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, NA, 0L,  #>     1L, 1L, 0L, 0L), label = \"Tumor Response\"), death = structure(c(0L,  #>     0L, 0L, 1L, 1L, 1L, 0L, 1L, 0L, 1L, 0L, 0L, 1L, 1L, 1L, 1L,  #>     0L, 1L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 0L,  #>     1L, 0L, 0L, 0L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 0L,  #>     0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,  #>     0L, 1L, 0L, 0L, 1L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 1L,  #>     1L, 1L, 1L, 0L, 1L, 0L, 0L, 0L, 1L, 1L, 0L, 1L, 1L, 1L, 1L,  #>     1L, 1L, 0L, 0L, 1L, 1L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 1L, 1L,  #>     1L, 1L, 0L, 1L, 1L, 0L, 1L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 0L,  #>     0L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 0L, 1L,  #>     0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 1L, 0L,  #>     0L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 1L,  #>     1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 1L, 1L, 1L,  #>     0L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 1L, 0L, 1L, 1L, 0L,  #>     1L, 0L, 1L, 0L), label = \"Patient Died\"), ttdeath = structure(c(24,  #>     24, 24, 17.64, 16.43, 15.64, 24, 18.43, 24, 10.53, 24, 24,  #>     14.34, 12.89, 22.68, 8.71, 24, 15.21, 24, 24, 24, 24, 16.92,  #>     23.89, 6.32, 15.77, 24, 24, 15.45, 17.43, 24, 20.9, 24, 24,  #>     24, 21.19, 12.52, 24, 15.59, 18, 18.02, 12.43, 12.1, 24,  #>     17.42, 24, 24, 24, 12.19, 10.02, 18.23, 10.42, 24, 24, 19.34,  #>     12.21, 14.46, 19.34, 10.16, 13.15, 10.12, 24, 22.77, 24,  #>     24, 22.13, 24, 20.62, 23.23, 7.38, 24, 24, 24, 24, 24, 19.22,  #>     7.27, 23.88, 16.23, 24, 14.06, 24, 24, 24, 16.44, 23.81,  #>     24, 18.37, 11.44, 20.94, 5.33, 22.92, 10.33, 24, 24, 14.54,  #>     19.14, 24, 21.19, 16.07, 9.97, 24, 24, 24, 19.75, 16.67,  #>     11.18, 18.29, 24, 17.56, 17.45, 24, 22.86, 13.68, 24, 24,  #>     17.46, 24, 24, 24, 24, 24, 13, 9.73, 15.65, 24, 3.53, 20.35,  #>     23.41, 16.47, 24, 24, 14.65, 17.81, 24, 21.83, 24, 24, 21.49,  #>     12.68, 24, 24, 24, 24, 10.07, 24, 24, 24, 8.37, 20.33, 24,  #>     24, 21.33, 12.63, 13.08, 24, 15.1, 20.14, 10.55, 24, 24,  #>     24, 24, 23.6, 24, 19.98, 15.55, 23.72, 22.41, 19.54, 16.57,  #>     24, 24, 24, 21.91, 24, 12.53, 24, 18.63, 14.82, 16.46, 24,  #>     9.24, 17.77, 24, 24, 9.92, 16.16, 10.51, 20.81, 24, 16.44,  #>     24, 22.4, 11.76, 24, 21.6, 24, 19.81, 24), label = \"Months to Death/Censor\")), class = c(\"tbl_df\",  #> \"tbl\", \"data.frame\"), row.names = c(NA, -200L))) #>  #> Coefficients: #> (Intercept)    trtDrug B       marker      stageT2      stageT3      stageT4   #>     45.9247      -0.4052      -0.1435       2.0519       2.4437      -3.1573   #>     gradeII     gradeIII     response        death      ttdeath   #>      0.1750       1.6855       4.9885       3.0775      -0.1394   #>  gtsummary::trial |> regression_model(   outcome.str = \"trt\",   auto.mode = FALSE,   fun = \"stats::glm\",   args.list = list(family = binomial(link = \"logit\")) ) #>  #> Call:  (function (formula, family = gaussian, data, weights, subset,  #>     na.action, start = NULL, etastart, mustart, offset, control = list(...),  #>     model = TRUE, method = \"glm.fit\", x = FALSE, y = TRUE, singular.ok = TRUE,  #>     contrasts = NULL, ...)  #> { #>     cal <- match.call() #>     if (is.character(family))  #>         family <- get(family, mode = \"function\", envir = parent.frame()) #>     if (is.function(family))  #>         family <- family() #>     if (is.null(family$family)) { #>         print(family) #>         stop(\"'family' not recognized\") #>     } #>     if (missing(data))  #>         data <- environment(formula) #>     mf <- match.call(expand.dots = FALSE) #>     m <- match(c(\"formula\", \"data\", \"subset\", \"weights\", \"na.action\",  #>         \"etastart\", \"mustart\", \"offset\"), names(mf), 0L) #>     mf <- mf[c(1L, m)] #>     mf$drop.unused.levels <- TRUE #>     mf[[1L]] <- quote(stats::model.frame) #>     mf <- eval(mf, parent.frame()) #>     if (identical(method, \"model.frame\"))  #>         return(mf) #>     if (!is.character(method) && !is.function(method))  #>         stop(\"invalid 'method' argument\") #>     if (identical(method, \"glm.fit\"))  #>         control <- do.call(\"glm.control\", control) #>     mt <- attr(mf, \"terms\") #>     Y <- model.response(mf, \"any\") #>     if (length(dim(Y)) == 1L) { #>         nm <- rownames(Y) #>         dim(Y) <- NULL #>         if (!is.null(nm))  #>             names(Y) <- nm #>     } #>     X <- if (!is.empty.model(mt))  #>         model.matrix(mt, mf, contrasts) #>     else matrix(, NROW(Y), 0L) #>     weights <- as.vector(model.weights(mf)) #>     if (!is.null(weights) && !is.numeric(weights))  #>         stop(\"'weights' must be a numeric vector\") #>     if (!is.null(weights) && any(weights < 0))  #>         stop(\"negative weights not allowed\") #>     offset <- as.vector(model.offset(mf)) #>     if (!is.null(offset)) { #>         if (length(offset) != NROW(Y))  #>             stop(gettextf(\"number of offsets is %d should equal %d (number of observations)\",  #>                 length(offset), NROW(Y)), domain = NA) #>     } #>     mustart <- model.extract(mf, \"mustart\") #>     etastart <- model.extract(mf, \"etastart\") #>     fit <- eval(call(if (is.function(method)) \"method\" else method,  #>         x = X, y = Y, weights = weights, start = start, etastart = etastart,  #>         mustart = mustart, offset = offset, family = family,  #>         control = control, intercept = attr(mt, \"intercept\") >  #>             0L, singular.ok = singular.ok)) #>     if (length(offset) && attr(mt, \"intercept\") > 0L) { #>         fit2 <- eval(call(if (is.function(method)) \"method\" else method,  #>             x = X[, \"(Intercept)\", drop = FALSE], y = Y, mustart = fit$fitted.values,  #>             weights = weights, offset = offset, family = family,  #>             control = control, intercept = TRUE)) #>         if (!fit2$converged)  #>             warning(\"fitting to calculate the null deviance did not converge -- increase 'maxit'?\") #>         fit$null.deviance <- fit2$deviance #>     } #>     if (model)  #>         fit$model <- mf #>     fit$na.action <- attr(mf, \"na.action\") #>     if (x)  #>         fit$x <- X #>     if (!y)  #>         fit$y <- NULL #>     structure(c(fit, list(call = cal, formula = formula, terms = mt,  #>         data = data, offset = offset, control = control, method = method,  #>         contrasts = attr(X, \"contrasts\"), xlevels = .getXlevels(mt,  #>             mf))), class = c(fit$class, c(\"glm\", \"lm\"))) #> })(formula = trt ~ age + marker + stage + grade + response +  #>     death + ttdeath, family = structure(list(family = \"binomial\",  #>     link = \"logit\", linkfun = function (mu)  #>     .Call(C_logit_link, mu), linkinv = function (eta)  #>     .Call(C_logit_linkinv, eta), variance = function (mu)  #>     mu * (1 - mu), dev.resids = function (y, mu, wt)  #>     .Call(C_binomial_dev_resids, y, mu, wt), aic = function (y,  #>         n, mu, wt, dev)  #>     { #>         m <- if (any(n > 1))  #>             n #>         else wt #>         -2 * sum(ifelse(m > 0, (wt/m), 0) * dbinom(round(m *  #>             y), round(m), mu, log = TRUE)) #>     }, mu.eta = function (eta)  #>     .Call(C_logit_mu_eta, eta), initialize = { #>         if (NCOL(y) == 1) { #>             if (is.factor(y))  #>                 y <- y != levels(y)[1L] #>             n <- rep.int(1, nobs) #>             y[weights == 0] <- 0 #>             if (any(y < 0 | y > 1))  #>                 stop(\"y values must be 0 <= y <= 1\") #>             mustart <- (weights * y + 0.5)/(weights + 1) #>             m <- weights * y #>             if (\"binomial\" == \"binomial\" && any(abs(m - round(m)) >  #>                 0.001))  #>                 warning(gettextf(\"non-integer #successes in a %s glm!\",  #>                   \"binomial\"), domain = NA) #>         } #>         else if (NCOL(y) == 2) { #>             if (\"binomial\" == \"binomial\" && any(abs(y - round(y)) >  #>                 0.001))  #>                 warning(gettextf(\"non-integer counts in a %s glm!\",  #>                   \"binomial\"), domain = NA) #>             n <- (y1 <- y[, 1L]) + y[, 2L] #>             y <- y1/n #>             if (any(n0 <- n == 0))  #>                 y[n0] <- 0 #>             weights <- weights * n #>             mustart <- (n * y + 0.5)/(n + 1) #>         } #>         else stop(gettextf(\"for the '%s' family, y must be a vector of 0 and 1's\\nor a 2 column matrix where col 1 is no. successes and col 2 is no. failures\",  #>             \"binomial\"), domain = NA) #>     }, validmu = function (mu)  #>     all(is.finite(mu)) && all(mu > 0 & mu < 1), valideta = function (eta)  #>     TRUE, simulate = function (object, nsim)  #>     { #>         ftd <- fitted(object) #>         n <- length(ftd) #>         ntot <- n * nsim #>         wts <- object$prior.weights #>         if (any(wts%%1 != 0))  #>             stop(\"cannot simulate from non-integer prior.weights\") #>         if (!is.null(m <- object$model)) { #>             y <- model.response(m) #>             if (is.factor(y)) { #>                 yy <- factor(1 + rbinom(ntot, size = 1, prob = ftd),  #>                   labels = levels(y)) #>                 split(yy, rep(seq_len(nsim), each = n)) #>             } #>             else if (is.matrix(y) && ncol(y) == 2) { #>                 yy <- vector(\"list\", nsim) #>                 for (i in seq_len(nsim)) { #>                   Y <- rbinom(n, size = wts, prob = ftd) #>                   YY <- cbind(Y, wts - Y) #>                   colnames(YY) <- colnames(y) #>                   yy[[i]] <- YY #>                 } #>                 yy #>             } #>             else rbinom(ntot, size = wts, prob = ftd)/wts #>         } #>         else rbinom(ntot, size = wts, prob = ftd)/wts #>     }, dispersion = 1), class = \"family\"), data = structure(list( #>     trt = structure(c(1L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 2L,  #>     2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L,  #>     2L, 1L, 2L, 2L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 2L, 2L,  #>     2L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,  #>     2L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 1L,  #>     1L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 1L,  #>     1L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 1L,  #>     2L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 2L,  #>     1L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 1L, 2L,  #>     2L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 1L, 2L, 2L,  #>     1L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 2L,  #>     2L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 2L,  #>     2L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L,  #>     1L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 1L), levels = c(\"Drug A\",  #>     \"Drug B\"), class = \"factor\", label = \"Chemotherapy Treatment\"),  #>     age = structure(c(23, 9, 31, NA, 51, 39, 37, 32, 31, 34,  #>     42, 63, 54, 21, 48, 71, 38, 49, 57, 46, 47, 52, 61, 38, 34,  #>     49, 63, 67, 68, 78, 36, 37, 53, 36, 51, 48, 57, 31, 37, 28,  #>     40, 49, 61, 56, 54, 71, 38, 31, 48, NA, 83, 52, 32, 53, 69,  #>     60, 45, 39, NA, 38, 36, 71, 31, 43, 57, 53, 25, 44, 25, 30,  #>     51, 40, NA, 43, 21, 54, 67, 43, 54, 41, 34, 34, 6, 39, 36,  #>     58, 27, 47, NA, 50, 61, 47, 52, 51, 68, 33, 65, 34, 38, 60,  #>     10, 49, 56, 50, 60, 49, 54, 39, 48, 65, 47, 61, 34, NA, NA,  #>     58, 26, 44, 17, 68, 57, 66, 44, NA, 67, 48, 62, 35, 53, 53,  #>     66, 55, 57, 47, 58, 43, 45, 44, 63, 59, 44, 53, 51, 28, 65,  #>     63, 76, 61, 33, 48, 42, 36, 55, 20, 26, 50, 47, 74, 50, 31,  #>     45, 51, 66, 76, 47, 48, 56, 70, 46, 43, 41, 41, 19, 49, 43,  #>     43, 75, 52, 42, 37, 45, 35, 67, 38, 44, 45, 39, 46, NA, 42,  #>     60, 31, 45, 38, NA, 19, 69, 66, NA, 64), label = \"Age\"),  #>     marker = structure(c(0.16, 1.107, 0.277, 2.067, 2.767, 0.613,  #>     0.354, 1.739, 0.144, 0.205, 0.513, 0.06, 0.831, 0.258, 0.128,  #>     0.445, 2.083, 0.157, 0.066, 0.325, 0.266, 0.719, 1.713, 0.096,  #>     0.105, 0.043, 0.981, 1.156, 0.105, 0.175, 0.309, 1.869, 2.008,  #>     1.894, 0.16, 1.209, 0.108, 0.611, 0.222, 0.803, 0.37, NA,  #>     0.177, 1.479, 0.161, 0.737, 0.124, 0.092, 0.385, 0.21, 0.475,  #>     1.628, 0.583, NA, 0.702, 1.206, 2.213, 1.406, 0.101, 0.013,  #>     2.032, 1.046, 0.408, 2.636, 1.263, NA, 2.447, 1.041, 0.531,  #>     0.924, 1.087, 0.733, 2.157, 0.333, 1.527, 2.238, 0.153, 0.305,  #>     0.131, 0.386, 1.645, 1.321, 0.229, 0.615, 1.976, 1.941, 0.22,  #>     3.874, 0.982, 1.68, 1.091, 0.169, 0.511, 2.141, 0.599, NA,  #>     0.389, 0.005, 0.075, 1.491, 0.358, 1.709, 0.056, 1.354, 2.522,  #>     0.387, 0.592, 0.243, 0.215, 1.207, 0.29, 0.718, 0.589, 0.003,  #>     1.328, 0.308, 0.691, 3.249, 0.039, 1.804, 0.238, 2.702, 1.441,  #>     0.27, NA, NA, 0.062, 2.19, 0.976, 3.062, 0.124, 0.045, 1.892,  #>     0.711, 1.079, 1.061, 0.239, 0.361, 0.033, 1.133, 1.225, 1.418,  #>     3.751, 3.02, 0.086, 0.772, 1.882, 2.725, 2.41, 0.352, 0.895,  #>     0.215, 0.141, 2.288, 1.658, 1.255, 1.306, 0.081, 0.667, 0.046,  #>     0.662, 1.985, 1.063, 1.55, 0.015, 0.056, NA, 0.51, 0.929,  #>     2.345, 0.25, 0.816, 0.022, 0.16, 0.547, 3.642, 0.092, 1.2,  #>     1.512, 2.124, NA, 0.862, 0.182, 1.075, 0.021, 0.402, 0.063,  #>     1.129, 0.61, NA, 0.717, 0.205, 0.946, 0.386, 0.37, 1.148,  #>     NA, 0.136, 0.439, 1.148), label = \"Marker Level (ng/mL)\"),  #>     stage = structure(c(1L, 2L, 1L, 3L, 4L, 4L, 1L, 1L, 1L, 3L,  #>     1L, 3L, 4L, 4L, 1L, 4L, 4L, 2L, 1L, 1L, 2L, 2L, 4L, 4L, 4L,  #>     2L, 4L, 1L, 4L, 3L, 1L, 2L, 3L, 3L, 3L, 3L, 1L, 1L, 4L, 4L,  #>     3L, 1L, 4L, 3L, 4L, 1L, 1L, 2L, 1L, 4L, 1L, 2L, 2L, 3L, 3L,  #>     2L, 4L, 1L, 4L, 2L, 4L, 1L, 4L, 1L, 4L, 1L, 1L, 1L, 4L, 1L,  #>     2L, 2L, 2L, 1L, 4L, 4L, 2L, 2L, 4L, 4L, 3L, 2L, 4L, 3L, 2L,  #>     4L, 1L, 2L, 1L, 4L, 3L, 3L, 1L, 3L, 2L, 3L, 2L, 2L, 3L, 4L,  #>     4L, 3L, 3L, 2L, 3L, 2L, 2L, 3L, 2L, 1L, 1L, 3L, 4L, 1L, 4L,  #>     3L, 3L, 2L, 4L, 2L, 1L, 2L, 1L, 4L, 3L, 3L, 3L, 2L, 1L, 2L,  #>     1L, 2L, 2L, 1L, 3L, 2L, 1L, 1L, 1L, 3L, 3L, 4L, 1L, 2L, 2L,  #>     1L, 3L, 4L, 2L, 4L, 2L, 1L, 2L, 3L, 1L, 3L, 4L, 2L, 2L, 1L,  #>     2L, 2L, 3L, 1L, 2L, 2L, 1L, 1L, 3L, 2L, 3L, 1L, 1L, 2L, 4L,  #>     2L, 4L, 4L, 2L, 3L, 4L, 3L, 4L, 4L, 1L, 1L, 4L, 4L, 4L, 1L,  #>     2L, 2L, 2L, 4L, 3L, 3L, 2L, 2L, 4L, 3L), levels = c(\"T1\",  #>     \"T2\", \"T3\", \"T4\"), class = \"factor\", label = \"T Stage\"),  #>     grade = structure(c(2L, 1L, 2L, 3L, 3L, 1L, 2L, 1L, 2L, 1L,  #>     3L, 1L, 3L, 1L, 1L, 3L, 3L, 2L, 3L, 2L, 1L, 2L, 1L, 1L, 2L,  #>     3L, 2L, 2L, 2L, 1L, 3L, 2L, 1L, 1L, 1L, 3L, 2L, 2L, 3L, 2L,  #>     2L, 3L, 3L, 1L, 3L, 1L, 3L, 2L, 2L, 2L, 3L, 3L, 3L, 2L, 3L,  #>     1L, 3L, 1L, 2L, 2L, 3L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 3L, 2L,  #>     1L, 3L, 3L, 3L, 2L, 3L, 3L, 1L, 2L, 1L, 1L, 1L, 1L, 3L, 1L,  #>     3L, 1L, 1L, 1L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 2L, 3L, 1L,  #>     3L, 1L, 2L, 2L, 1L, 2L, 2L, 3L, 1L, 3L, 3L, 1L, 1L, 1L, 2L,  #>     3L, 3L, 2L, 1L, 3L, 2L, 1L, 2L, 2L, 2L, 1L, 3L, 3L, 2L, 3L,  #>     1L, 1L, 1L, 2L, 2L, 3L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 3L, 2L,  #>     2L, 2L, 2L, 2L, 1L, 1L, 3L, 2L, 2L, 1L, 2L, 1L, 2L, 3L, 2L,  #>     1L, 1L, 1L, 3L, 1L, 1L, 2L, 1L, 1L, 3L, 3L, 1L, 3L, 2L, 1L,  #>     3L, 1L, 2L, 1L, 1L, 3L, 1L, 2L, 1L, 2L, 2L, 2L, 3L, 2L, 2L,  #>     3L, 2L, 3L, 3L, 2L, 1L, 2L, 3L, 3L, 1L), levels = c(\"I\",  #>     \"II\", \"III\"), class = \"factor\", label = \"Grade\"), response = structure(c(0L,  #>     1L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L,  #>     1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, 1L,  #>     0L, 0L, 1L, 0L, NA, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 1L, 1L, 1L,  #>     1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 1L, 0L,  #>     0L, 0L, 0L, NA, 0L, 1L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 0L,  #>     0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 0L, 0L,  #>     0L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, NA, 0L, 0L, 1L,  #>     0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 1L,  #>     0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 0L,  #>     1L, 1L, NA, 1L, 1L, 1L, 0L, 1L, 0L, 0L, 1L, 0L, NA, 1L, 0L,  #>     0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, 1L, 0L, 0L,  #>     0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 1L, 1L, 0L, 1L, NA, 0L, 1L,  #>     0L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, NA, 0L,  #>     1L, 1L, 0L, 0L), label = \"Tumor Response\"), death = structure(c(0L,  #>     0L, 0L, 1L, 1L, 1L, 0L, 1L, 0L, 1L, 0L, 0L, 1L, 1L, 1L, 1L,  #>     0L, 1L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 0L,  #>     1L, 0L, 0L, 0L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 0L,  #>     0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,  #>     0L, 1L, 0L, 0L, 1L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 1L,  #>     1L, 1L, 1L, 0L, 1L, 0L, 0L, 0L, 1L, 1L, 0L, 1L, 1L, 1L, 1L,  #>     1L, 1L, 0L, 0L, 1L, 1L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 1L, 1L,  #>     1L, 1L, 0L, 1L, 1L, 0L, 1L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 0L,  #>     0L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 0L, 1L,  #>     0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 1L, 0L,  #>     0L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 1L,  #>     1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 1L, 1L, 1L,  #>     0L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 1L, 0L, 1L, 1L, 0L,  #>     1L, 0L, 1L, 0L), label = \"Patient Died\"), ttdeath = structure(c(24,  #>     24, 24, 17.64, 16.43, 15.64, 24, 18.43, 24, 10.53, 24, 24,  #>     14.34, 12.89, 22.68, 8.71, 24, 15.21, 24, 24, 24, 24, 16.92,  #>     23.89, 6.32, 15.77, 24, 24, 15.45, 17.43, 24, 20.9, 24, 24,  #>     24, 21.19, 12.52, 24, 15.59, 18, 18.02, 12.43, 12.1, 24,  #>     17.42, 24, 24, 24, 12.19, 10.02, 18.23, 10.42, 24, 24, 19.34,  #>     12.21, 14.46, 19.34, 10.16, 13.15, 10.12, 24, 22.77, 24,  #>     24, 22.13, 24, 20.62, 23.23, 7.38, 24, 24, 24, 24, 24, 19.22,  #>     7.27, 23.88, 16.23, 24, 14.06, 24, 24, 24, 16.44, 23.81,  #>     24, 18.37, 11.44, 20.94, 5.33, 22.92, 10.33, 24, 24, 14.54,  #>     19.14, 24, 21.19, 16.07, 9.97, 24, 24, 24, 19.75, 16.67,  #>     11.18, 18.29, 24, 17.56, 17.45, 24, 22.86, 13.68, 24, 24,  #>     17.46, 24, 24, 24, 24, 24, 13, 9.73, 15.65, 24, 3.53, 20.35,  #>     23.41, 16.47, 24, 24, 14.65, 17.81, 24, 21.83, 24, 24, 21.49,  #>     12.68, 24, 24, 24, 24, 10.07, 24, 24, 24, 8.37, 20.33, 24,  #>     24, 21.33, 12.63, 13.08, 24, 15.1, 20.14, 10.55, 24, 24,  #>     24, 24, 23.6, 24, 19.98, 15.55, 23.72, 22.41, 19.54, 16.57,  #>     24, 24, 24, 21.91, 24, 12.53, 24, 18.63, 14.82, 16.46, 24,  #>     9.24, 17.77, 24, 24, 9.92, 16.16, 10.51, 20.81, 24, 16.44,  #>     24, 22.4, 11.76, 24, 21.6, 24, 19.81, 24), label = \"Months to Death/Censor\")), class = c(\"tbl_df\",  #> \"tbl\", \"data.frame\"), row.names = c(NA, -200L))) #>  #> Coefficients: #> (Intercept)          age       marker      stageT2      stageT3      stageT4   #>    1.652845    -0.002014    -0.259849     0.404341     0.117402    -0.002102   #>     gradeII     gradeIII     response        death      ttdeath   #>   -0.037012     0.022890     0.498952    -0.003916    -0.076073   #>  #> Degrees of Freedom: 172 Total (i.e. Null);  162 Residual #>   (27 observations deleted due to missingness) #> Null Deviance:\t    239.5  #> Residual Deviance: 230.9 \tAIC: 252.9"},{"path":"https://agdamsbo.github.io/freesearcheR/reference/regression_model_uv.html","id":null,"dir":"Reference","previous_headings":"","what":"Create a regression model programatically — regression_model_uv","title":"Create a regression model programatically — regression_model_uv","text":"Create regression model programatically","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/regression_model_uv.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Create a regression model programatically — regression_model_uv","text":"","code":"regression_model_uv(   data,   outcome.str,   args.list = NULL,   fun = NULL,   vars = NULL,   ... )"},{"path":"https://agdamsbo.github.io/freesearcheR/reference/regression_model_uv.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Create a regression model programatically — regression_model_uv","text":"data data set outcome.str Name outcome variable. Character vector. args.list List arguments passed 'fun' '.call'. fun Name function character vector function use model creation. vars character vector variables include ... ignored now","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/regression_model_uv.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Create a regression model programatically — regression_model_uv","text":"object standard class fun","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/regression_model_uv.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Create a regression model programatically — regression_model_uv","text":"","code":"if (FALSE) { # \\dontrun{ gtsummary::trial |>   regression_model_uv(outcome.str = \"age\") gtsummary::trial |>   regression_model_uv(     outcome.str = \"age\",     fun = \"stats::lm\",     args.list = NULL   ) gtsummary::trial |> regression_model_uv(   outcome.str = \"trt\",   fun = \"stats::glm\",   args.list = list(family = stats::binomial(link = \"logit\")) ) } # }"},{"path":"https://agdamsbo.github.io/freesearcheR/reference/regression_table.html","id":null,"dir":"Reference","previous_headings":"","what":"Create table of regression model — regression_table","title":"Create table of regression model — regression_table","text":"Create table regression model","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/regression_table.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Create table of regression model — regression_table","text":"","code":"regression_table(x, ...)"},{"path":"https://agdamsbo.github.io/freesearcheR/reference/regression_table.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Create table of regression model — regression_table","text":"x regression model ... passed methods args.list list arguments passed 'fun'. fun function use table creation. Default \"gtsummary::tbl_regression\".","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/regression_table.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Create table of regression model — regression_table","text":"object standard class fun","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/regression_table.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Create table of regression model — regression_table","text":"","code":"if (FALSE) { # \\dontrun{ gtsummary::trial |>   regression_model(     outcome.str = \"stage\",     fun = \"MASS::polr\"   ) |>   regression_table(args.list = list(\"exponentiate\" = TRUE)) gtsummary::trial |>   regression_model(     outcome.str = \"age\",     fun = \"stats::lm\",     formula.str = \"{outcome.str}~.\",     args.list = NULL   ) |>   regression_table() gtsummary::trial |>   regression_model(     outcome.str = \"trt\",     fun = \"stats::glm\",     args.list = list(family = binomial(link = \"logit\"))   ) |>   regression_table() gtsummary::trial |>   regression_model_uv(     outcome.str = \"trt\",     fun = \"stats::glm\",     args.list = list(family = stats::binomial(link = \"logit\"))   ) |>   regression_table() gtsummary::trial |>   regression_model_uv(     outcome.str = \"stage\",     args.list = list(family = stats::binomial(link = \"logit\"))   ) |>   regression_table()  list(   \"Univariable\" = regression_model_uv,   \"Multivariable\" = regression_model ) |>   lapply(\\(.fun){     do.call(       .fun,       c(         list(data = gtsummary::trial),         list(outcome.str = \"stage\")       )     )   }) |>   purrr::map(regression_table) |>   tbl_merge()   } # } regression_table <- function(x, ...) {   UseMethod(\"regression_table\") }  #' @rdname regression_table #' @export regression_table.list <- function(x, ...) {   x |>     purrr::map(\\(.m){       regression_table(x = .m, ...) |>         gtsummary::add_n()     }) |>     gtsummary::tbl_stack() }  #' @rdname regression_table #' @export regression_table.default <- function(x, ..., args.list = NULL, fun = \"gtsummary::tbl_regression\") {   # Stripping custom class   class(x) <- class(x)[class(x) != \"freesearcher_model\"]    if (any(c(length(class(x)) != 1, class(x) != \"lm\"))) {     if (!\"exponentiate\" %in% names(args.list)) {       args.list <- c(args.list, list(exponentiate = TRUE))     }   }    out <- do.call(getfun(fun), c(list(x = x), args.list))   out |>     gtsummary::add_glance_source_note() # |>   # gtsummary::bold_p() }"},{"path":"https://agdamsbo.github.io/freesearcheR/reference/remove_na_attr.html","id":null,"dir":"Reference","previous_headings":"","what":"Remove NA labels — remove_na_attr","title":"Remove NA labels — remove_na_attr","text":"Remove NA labels","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/remove_na_attr.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Remove NA labels — remove_na_attr","text":"","code":"remove_na_attr(data, attr = \"label\")"},{"path":"https://agdamsbo.github.io/freesearcheR/reference/remove_na_attr.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Remove NA labels — remove_na_attr","text":"data data","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/remove_na_attr.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Remove NA labels — remove_na_attr","text":"data.frame","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/remove_na_attr.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Remove NA labels — remove_na_attr","text":"","code":"ds <- mtcars |> lapply(\\(.x) REDCapCAST::set_attr(.x,label=NA,attr = \"label\")) ds |> remove_na_attr() |> str() #> tibble [32 × 11] (S3: tbl_df/tbl/data.frame) #>  $ mpg : num [1:32] 21 21 22.8 21.4 18.7 18.1 14.3 24.4 22.8 19.2 ... #>  $ cyl : num [1:32] 6 6 4 6 8 6 8 4 4 6 ... #>  $ disp: num [1:32] 160 160 108 258 360 ... #>  $ hp  : num [1:32] 110 110 93 110 175 105 245 62 95 123 ... #>  $ drat: num [1:32] 3.9 3.9 3.85 3.08 3.15 2.76 3.21 3.69 3.92 3.92 ... #>  $ wt  : num [1:32] 2.62 2.88 2.32 3.21 3.44 ... #>  $ qsec: num [1:32] 16.5 17 18.6 19.4 17 ... #>  $ vs  : num [1:32] 0 0 1 1 0 1 0 1 1 1 ... #>  $ am  : num [1:32] 1 1 1 0 0 0 0 0 0 0 ... #>  $ gear: num [1:32] 4 4 4 3 3 3 3 4 4 4 ... #>  $ carb: num [1:32] 4 4 1 1 2 1 4 2 2 4 ..."},{"path":"https://agdamsbo.github.io/freesearcheR/reference/shiny_freesearcheR.html","id":null,"dir":"Reference","previous_headings":"","what":"Launch the freesearcheR tool locally — shiny_freesearcheR","title":"Launch the freesearcheR tool locally — shiny_freesearcheR","text":"data.frames global environment accessible app.","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/shiny_freesearcheR.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Launch the freesearcheR tool locally — shiny_freesearcheR","text":"","code":"shiny_freesearcheR(...)"},{"path":"https://agdamsbo.github.io/freesearcheR/reference/shiny_freesearcheR.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Launch the freesearcheR tool locally — shiny_freesearcheR","text":"... arguments passed shiny::runApp()","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/shiny_freesearcheR.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Launch the freesearcheR tool locally — shiny_freesearcheR","text":"shiny app","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/shiny_freesearcheR.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Launch the freesearcheR tool locally — shiny_freesearcheR","text":"","code":"if (FALSE) { # \\dontrun{ data(mtcars) shiny_freesearcheR(launch.browser = TRUE) } # }"},{"path":"https://agdamsbo.github.io/freesearcheR/reference/specify_qmd_format.html","id":null,"dir":"Reference","previous_headings":"","what":"Specify format arguments to include in qmd header/frontmatter — specify_qmd_format","title":"Specify format arguments to include in qmd header/frontmatter — specify_qmd_format","text":"Specify format arguments include qmd header/frontmatter","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/specify_qmd_format.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Specify format arguments to include in qmd header/frontmatter — specify_qmd_format","text":"","code":"specify_qmd_format(data, fileformat = c(\"docx\", \"odt\", \"pdf\", \"all\"))"},{"path":"https://agdamsbo.github.io/freesearcheR/reference/specify_qmd_format.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Specify format arguments to include in qmd header/frontmatter — specify_qmd_format","text":"data vector fileformat format include","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/specify_qmd_format.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Specify format arguments to include in qmd header/frontmatter — specify_qmd_format","text":"vector","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/tbl_merge.html","id":null,"dir":"Reference","previous_headings":"","what":"A substitue to gtsummary::tbl_merge, that will use list names for the tab spanner names. — tbl_merge","title":"A substitue to gtsummary::tbl_merge, that will use 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Convey individual copies object code copy written offer provide Corresponding Source. alternative allowed occasionally noncommercially, received object code offer, accord subsection 6b. Convey object code offering access designated place (gratis charge), offer equivalent access Corresponding Source way place charge. need require recipients copy Corresponding Source along object code. place copy object code network server, Corresponding Source may different server (operated third party) supports equivalent copying facilities, provided maintain clear directions next object code saying find Corresponding Source. Regardless server hosts Corresponding Source, remain obligated ensure available long needed satisfy requirements. Convey object code using peer--peer transmission, provided inform peers object code Corresponding Source work offered general public charge subsection 6d. separable portion object code, whose source code excluded Corresponding Source System Library, need included conveying object code work. “User Product” either (1) “consumer product”, means tangible personal property normally used personal, family, household purposes, (2) anything designed sold incorporation dwelling. determining whether product consumer product, doubtful cases shall resolved favor coverage. particular product received particular user, “normally used” refers typical common use class product, regardless status particular user way particular user actually uses, expects expected use, product. product consumer product regardless whether product substantial commercial, industrial non-consumer uses, unless uses represent significant mode use product. “Installation Information” User Product means methods, procedures, authorization keys, information required install execute modified versions covered work User Product modified version Corresponding Source. information must suffice ensure continued functioning modified object code case prevented interfered solely modification made. convey object code work section , , specifically use , User Product, conveying occurs part transaction right possession use User Product transferred recipient perpetuity fixed term (regardless transaction characterized), Corresponding Source conveyed section must accompanied Installation Information. requirement apply neither third party retains ability install modified object code User Product (example, work installed ROM). requirement provide Installation Information include requirement continue provide support service, warranty, updates work modified installed recipient, User Product modified installed. 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Additional permissions applicable entire Program shall treated though included License, extent valid applicable law. additional permissions apply part Program, part may used separately permissions, entire Program remains governed License without regard additional permissions. convey copy covered work, may option remove additional permissions copy, part . (Additional permissions may written require removal certain cases modify work.) may place additional permissions material, added covered work, can give appropriate copyright permission. Notwithstanding provision License, material add covered work, may (authorized copyright holders material) supplement terms License terms: Disclaiming warranty limiting liability differently terms sections 15 16 License; Requiring preservation specified reasonable legal notices author attributions material Appropriate Legal Notices displayed works containing ; Prohibiting misrepresentation origin material, requiring modified versions material marked reasonable ways different original version; Limiting use publicity purposes names licensors authors material; Declining grant rights trademark law use trade names, trademarks, service marks; Requiring indemnification licensors authors material anyone conveys material (modified versions ) contractual assumptions liability recipient, liability contractual assumptions directly impose licensors authors. non-permissive additional terms considered “restrictions” within meaning section 10. Program received , part , contains notice stating governed License along term restriction, may remove term. license document contains restriction permits relicensing conveying License, may add covered work material governed terms license document, provided restriction survive relicensing conveying. add terms covered work accord section, must place, relevant source files, statement additional terms apply files, notice indicating find applicable terms. Additional terms, permissive non-permissive, may stated form separately written license, stated exceptions; requirements apply either way.","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/LICENSE.html","id":"id_8-termination","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"8. Termination.","title":"GNU Affero General Public License","text":"may propagate modify covered work except expressly provided License. attempt otherwise propagate modify void, automatically terminate rights License (including patent licenses granted third paragraph section 11). However, cease violation License, license particular copyright holder reinstated () provisionally, unless copyright holder explicitly finally terminates license, (b) permanently, copyright holder fails notify violation reasonable means prior 60 days cessation. Moreover, license particular copyright holder reinstated permanently copyright holder notifies violation reasonable means, first time received notice violation License (work) copyright holder, cure violation prior 30 days receipt notice. Termination rights section terminate licenses parties received copies rights License. rights terminated permanently reinstated, qualify receive new licenses material section 10.","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/LICENSE.html","id":"id_9-acceptance-not-required-for-having-copies","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"9. Acceptance Not Required for Having Copies.","title":"GNU Affero General Public License","text":"required accept License order receive run copy Program. Ancillary propagation covered work occurring solely consequence using peer--peer transmission receive copy likewise require acceptance. However, nothing License grants permission propagate modify covered work. actions infringe copyright accept License. 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Patents.","title":"GNU Affero General Public License","text":"“contributor” copyright holder authorizes use License Program work Program based. work thus licensed called contributor’s “contributor version”. contributor’s “essential patent claims” patent claims owned controlled contributor, whether already acquired hereafter acquired, infringed manner, permitted License, making, using, selling contributor version, include claims infringed consequence modification contributor version. purposes definition, “control” includes right grant patent sublicenses manner consistent requirements License. contributor grants non-exclusive, worldwide, royalty-free patent license contributor’s essential patent claims, make, use, sell, offer sale, import otherwise run, modify propagate contents contributor version. following three paragraphs, “patent license” express agreement commitment, however denominated, enforce patent (express permission practice patent covenant sue patent infringement). “grant” patent license party means make agreement commitment enforce patent party. convey covered work, knowingly relying patent license, Corresponding Source work available anyone copy, free charge terms License, publicly available network server readily accessible means, must either (1) cause Corresponding Source available, (2) arrange deprive benefit patent license particular work, (3) arrange, manner consistent requirements License, extend patent license downstream recipients. “Knowingly relying” means actual knowledge , patent license, conveying covered work country, recipient’s use covered work country, infringe one identifiable patents country reason believe valid. , pursuant connection single transaction arrangement, convey, propagate procuring conveyance , covered work, grant patent license parties receiving covered work authorizing use, propagate, modify convey specific copy covered work, patent license grant automatically extended recipients covered work works based . patent license “discriminatory” include within scope coverage, prohibits exercise , conditioned non-exercise one rights specifically granted License. may convey covered work party arrangement third party business distributing software, make payment third party based extent activity conveying work, third party grants, parties receive covered work , discriminatory patent license () connection copies covered work conveyed (copies made copies), (b) primarily connection specific products compilations contain covered work, unless entered arrangement, patent license granted, prior 28 March 2007. Nothing License shall construed excluding limiting implied license defenses infringement may otherwise available applicable patent law.","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/LICENSE.html","id":"id_12-no-surrender-of-others-freedom","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"12. No Surrender of Others’ Freedom.","title":"GNU Affero General Public License","text":"conditions imposed (whether court order, agreement otherwise) contradict conditions License, excuse conditions License. convey covered work satisfy simultaneously obligations License pertinent obligations, consequence may convey . example, agree terms obligate collect royalty conveying convey Program, way satisfy terms License refrain entirely conveying Program.","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/LICENSE.html","id":"id_13-remote-network-interaction-use-with-the-gnu-general-public-license","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"13. Remote Network Interaction; Use with the GNU General Public License.","title":"GNU Affero General Public License","text":"Notwithstanding provision License, modify Program, modified version must prominently offer users interacting remotely computer network (version supports interaction) opportunity receive Corresponding Source version providing access Corresponding Source network server charge, standard customary means facilitating copying software. Corresponding Source shall include Corresponding Source work covered version 3 GNU General Public License incorporated pursuant following paragraph. Notwithstanding provision License, permission link combine covered work work licensed version 3 GNU General Public License single combined work, convey resulting work. terms License continue apply part covered work, work combined remain governed version 3 GNU General Public License.","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/LICENSE.html","id":"id_14-revised-versions-of-this-license","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"14. Revised Versions of this License.","title":"GNU Affero General Public License","text":"Free Software Foundation may publish revised /new versions GNU Affero General Public License time time. new versions similar spirit present version, may differ detail address new problems concerns. version given distinguishing version number. Program specifies certain numbered version GNU Affero General Public License “later version” applies , option following terms conditions either numbered version later version published Free Software Foundation. Program specify version number GNU Affero General Public License, may choose version ever published Free Software Foundation. Program specifies proxy can decide future versions GNU Affero General Public License can used, proxy’s public statement acceptance version permanently authorizes choose version Program. Later license versions may give additional different permissions. However, additional obligations imposed author copyright holder result choosing follow later version.","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/LICENSE.html","id":"id_15-disclaimer-of-warranty","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"15. Disclaimer of Warranty.","title":"GNU Affero General Public License","text":"WARRANTY PROGRAM, EXTENT PERMITTED APPLICABLE LAW. EXCEPT OTHERWISE STATED WRITING COPYRIGHT HOLDERS /PARTIES PROVIDE PROGRAM “” WITHOUT WARRANTY KIND, EITHER EXPRESSED IMPLIED, INCLUDING, LIMITED , IMPLIED WARRANTIES MERCHANTABILITY FITNESS PARTICULAR PURPOSE. ENTIRE RISK QUALITY PERFORMANCE PROGRAM . PROGRAM PROVE DEFECTIVE, ASSUME COST NECESSARY SERVICING, REPAIR CORRECTION.","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/LICENSE.html","id":"id_16-limitation-of-liability","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"16. Limitation of Liability.","title":"GNU Affero General Public License","text":"EVENT UNLESS REQUIRED APPLICABLE LAW AGREED WRITING COPYRIGHT HOLDER, PARTY MODIFIES /CONVEYS PROGRAM PERMITTED , LIABLE DAMAGES, INCLUDING GENERAL, SPECIAL, INCIDENTAL CONSEQUENTIAL DAMAGES ARISING USE INABILITY USE PROGRAM (INCLUDING LIMITED LOSS DATA DATA RENDERED INACCURATE LOSSES SUSTAINED THIRD PARTIES FAILURE PROGRAM OPERATE PROGRAMS), EVEN HOLDER PARTY ADVISED POSSIBILITY DAMAGES.","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/LICENSE.html","id":"id_17-interpretation-of-sections-15-and-16","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"17. Interpretation of Sections 15 and 16.","title":"GNU Affero General Public License","text":"disclaimer warranty limitation liability provided given local legal effect according terms, reviewing courts shall apply local law closely approximates absolute waiver civil liability connection Program, unless warranty assumption liability accompanies copy Program return fee. END TERMS CONDITIONS","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/LICENSE.html","id":"how-to-apply-these-terms-to-your-new-programs","dir":"","previous_headings":"","what":"How to Apply These Terms to Your New Programs","title":"GNU Affero General Public License","text":"develop new program, want greatest possible use public, best way achieve make free software everyone can redistribute change terms. , attach following notices program. safest attach start source file effectively state exclusion warranty; file least “copyright” line pointer full notice found. Also add information contact electronic paper mail. software can interact users remotely computer network, also make sure provides way users get source. example, program web application, interface display “Source” link leads users archive code. many ways offer source, different solutions better different programs; see section 13 specific requirements. also get employer (work programmer) school, , sign “copyright disclaimer” program, necessary. information , apply follow GNU AGPL, see https://www.gnu.org/licenses/.","code":"<one line to give the program's name and a brief idea of what it does.>     Copyright (C) <year>  <name of author>      This program is free software: you can redistribute it and/or modify     it under the terms of the GNU Affero General Public License as     published by the Free Software Foundation, either version 3 of the     License, or (at your option) any later version.      This program is distributed in the hope that it will be useful,     but WITHOUT ANY WARRANTY; without even the implied warranty of     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the     GNU Affero General Public License for more details.      You should have received a copy of the GNU Affero General Public License     along with this program.  If not, see <https://www.gnu.org/licenses/>."},{"path":"https://agdamsbo.github.io/freesearcheR/ROADMAP.html","id":null,"dir":"","previous_headings":"","what":"Project roadmap","title":"Project roadmap","text":"current state app considered experimental, lot things still changing. , however, usable state, basic functions available user. (actual list quite long growing) planned features improvements: Stratified analyses Additional study designs: Cross-sectional data analyses Longitudinal data analyses Survival analysis detailed variable browser Add histograms data distribution. 2025-01-16 Option edit labels. 2025-01-16 output controls Theming output tables Select analyses include report Plot regression analyses results Export modified data. 2025-01-16 Include reproducible code steps Modify factor levels Factor level modifications possible converting factors numeric > cutting numeric desired fixed values. 2024-12-12 options date/datetime/time grouping/factoring. Included weekday month-options. 2024-12-12 Graphs plots Correlation matrix plot data exploration Grotta bars ordianl outcomes Coefficient plotting regression analyses (forest plot)","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Andreas Gammelgaard Damsbo. Author, maintainer.","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Damsbo (2025). freesearcheR: Browser Based Data Analysis. R package version 25.2.1, https://agdamsbo.github.io/freesearcheR/, https://github.com/agdamsbo/freesearcheR.","code":"@Manual{,   title = {freesearcheR: Browser Based Data Analysis},   author = {Andreas Gammelgaard Damsbo},   year = {2025},   note = {R package version 25.2.1, https://agdamsbo.github.io/freesearcheR/},   url = {https://github.com/agdamsbo/freesearcheR}, }"},{"path":"https://agdamsbo.github.io/freesearcheR/index.html","id":"freesearcher","dir":"","previous_headings":"","what":"Browser Based Data Analysis","title":"Browser Based Data Analysis","text":"package backbone freesearcheR, free open-source browser based data exploration analysis tool clinicians researchers publication ready output. package freesearcheR-tool part larger initiative democratize health data analysis remove barriers clinicians engage health research. freesearcheR-tool online accessible : link app freely hosted shinyapps.io. feedback welcome can shared GitHub issue. Initiatives funding continued development tool surrounding initiatives ongoing.","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/index.html","id":"install-locally","dir":"","previous_headings":"","what":"Install locally","title":"Browser Based Data Analysis","text":"freesearcheR-tool can also launched locally. data.frame available global environment accessible interface.","code":"require(\"devtools\") devtools::install_github(\"agdamsbo/freesearcheR\") library(freesearcheR) # By loading mtcars to the environment, it will be available # in the interface like any other data.frame data(mtcars) shiny_freesearcheR()"},{"path":"https://agdamsbo.github.io/freesearcheR/index.html","id":"code-of-conduct","dir":"","previous_headings":"","what":"Code of Conduct","title":"Browser Based Data Analysis","text":"Please note freesearcheR project released Contributor Code Conduct. contributing project, agree abide terms.","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/add_class_icon.html","id":null,"dir":"Reference","previous_headings":"","what":"Convert class grid column to icon — add_class_icon","title":"Convert class grid column to icon — add_class_icon","text":"Convert class grid column icon","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/add_class_icon.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Convert class grid column to icon — add_class_icon","text":"","code":"add_class_icon(grid, column = \"class\")"},{"path":"https://agdamsbo.github.io/freesearcheR/reference/add_class_icon.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Convert class grid column to icon — add_class_icon","text":"grid grid column column","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/add_class_icon.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Convert class grid column to icon — add_class_icon","text":"datagrid","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/add_class_icon.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Convert class grid column to icon — add_class_icon","text":"","code":"mtcars |>   overview_vars() |>   toastui::datagrid() |>   add_class_icon()      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sparkline to datagrid — add_sparkline","title":"Add sparkline to datagrid — add_sparkline","text":"Add sparkline datagrid","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/add_sparkline.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Add sparkline to datagrid — add_sparkline","text":"","code":"add_sparkline(   grid,   column = \"vals\",   color.main = \"#2a8484\",   color.sec = \"#84EF84\" )"},{"path":"https://agdamsbo.github.io/freesearcheR/reference/add_sparkline.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Add sparkline to datagrid — add_sparkline","text":"grid grid column clumn transform","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/add_sparkline.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Add sparkline to datagrid — add_sparkline","text":"datagrid","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/add_sparkline.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Add sparkline to datagrid — add_sparkline","text":"","code":"grid <- mtcars |>   default_parsing() |>   overview_vars() |>   toastui::datagrid() |>   add_sparkline() grid      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bslib::bs_theme()","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/custom_theme.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Custom theme based on unity — custom_theme","text":"theme list","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/cut-variable.html","id":null,"dir":"Reference","previous_headings":"","what":"Module to Convert Numeric to Factor — cut-variable","title":"Module to Convert Numeric to Factor — cut-variable","text":"module contain interface cut numeric several intervals.","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/cut-variable.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Module to Convert Numeric to Factor — cut-variable","text":"","code":"cut_variable_ui(id)  cut_variable_server(id, data_r = reactive(NULL))  modal_cut_variable(   id,   title = i18n(\"Convert Numeric to Factor\"),   easyClose = TRUE,   size = \"l\",   footer = NULL )  winbox_cut_variable(   id,   title = i18n(\"Convert Numeric to Factor\"),   options = shinyWidgets::wbOptions(),   controls = shinyWidgets::wbControls() )"},{"path":"https://agdamsbo.github.io/freesearcheR/reference/cut-variable.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Module to Convert Numeric to Factor — cut-variable","text":"id Module ID. data_r shiny::reactive() function returning data.frame. title optional title dialog. easyClose TRUE, modal dialog can dismissed clicking outside dialog box, pressing Escape key. FALSE (default), modal dialog dismissed ways; instead must dismissed clicking modalButton(), call removeModal() server. size One \"s\" small, \"m\" (default) medium, \"l\" large, \"xl\" extra large. Note \"xl\" works Bootstrap 4 (opt-Bootstrap 4+, pass bslib::bs_theme() theme argument page container like fluidPage()). footer UI footer. Use NULL footer. options List options, see wbOptions(). controls List controls, see wbControls().","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/cut-variable.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Module to Convert Numeric to Factor — cut-variable","text":"shiny::reactive() function returning data.","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/cut.html","id":null,"dir":"Reference","previous_headings":"","what":"Extended cutting function — cut.hms","title":"Extended cutting function — cut.hms","text":"Extended cutting function","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/cut.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Extended cutting function — cut.hms","text":"","code":"# S3 method for class 'hms' cut(x, breaks, ...)  # S3 method for class 'POSIXt' cut(   x,   breaks,   right = FALSE,   include.lowest = TRUE,   start.on.monday = TRUE,   ... )  # S3 method for class 'POSIXct' cut(   x,   breaks,   right = FALSE,   include.lowest = TRUE,   start.on.monday = TRUE,   ... )  # S3 method for class 'Date' cut(x, breaks, start.on.monday = TRUE, ...)"},{"path":"https://agdamsbo.github.io/freesearcheR/reference/cut.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Extended cutting function — cut.hms","text":"x object inheriting class \"POSIXct\" ... passed ","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/cut.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Extended cutting function — cut.hms","text":"factor","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/cut.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Extended cutting function — cut.hms","text":"","code":"readr::parse_time(c(\"01:00:20\", \"03:00:20\", \"01:20:20\", \"08:20:20\", \"21:20:20\", \"03:02:20\")) |> cut(2) #> [1] 01:00:20 01:00:20 01:00:20 03:01:20 <NA>     03:01:20 #> attr(,\"brks\") #> 01:00:20 #> 03:01:20 #> 21:20:20 #> Levels: 01:00:20 03:01:20 readr::parse_time(c(\"01:00:20\", \"03:00:20\", \"01:20:20\", \"08:20:20\", \"21:20:20\", \"03:02:20\")) |> cut(\"min\") #> [1] 01:00:00 03:00:00 01:20:00 08:20:00 21:20:00 03:02:00 #> attr(,\"brks\") #> 01:00:00 #> 01:20:00 #> 03:00:00 #> 03:02:00 #> 08:20:00 #> 21:20:00 #> 21:20:20 #> Levels: 01:00:00 01:20:00 03:00:00 03:02:00 08:20:00 21:20:00 readr::parse_time(c(\"01:00:20\", \"03:00:20\", \"01:20:20\", \"08:20:20\", \"21:20:20\", \"03:02:20\")) |> cut(breaks = \"hour\") #> [1] 01:00:00 03:00:00 01:00:00 08:00:00 21:00:00 03:00:00 #> attr(,\"brks\") #> 01:00:00 #> 03:00:00 #> 08:00:00 #> 21:00:00 #> 21:20:20 #> Levels: 01:00:00 03:00:00 08:00:00 21:00:00 readr::parse_time(c(\"01:00:20\", \"03:00:20\", \"01:20:20\", \"08:20:20\", \"21:20:20\", \"03:02:20\")) |> cut(breaks = hms::as_hms(c(\"01:00:00\", \"03:01:20\", \"9:20:20\"))) #> [1] 01:00:00 01:00:00 01:00:00 03:01:20 <NA>     03:01:20 #> attr(,\"brks\") #> 01:00:00 #> 03:01:20 #> 09:20:20 #> Levels: 01:00:00 03:01:20 d_t <- readr::parse_time(c(\"01:00:20\", \"03:00:20\", \"01:20:20\", \"03:02:20\", NA)) f <- d_t |> cut(2) readr::parse_time(c(\"01:00:20\", \"03:00:20\", \"01:20:20\", \"03:02:20\", NA)) |> cut(breaks = lubridate::as_datetime(c(hms::as_hms(levels(f)), hms::as_hms(max(d_t, na.rm = TRUE) + 1))), right = FALSE) #> Warning: tz(): Don't know how to compute timezone for object of class hms/difftime; returning \"UTC\". #> [1] 01:00:20 02:10:20 01:00:20 02:10:20 <NA>     #> attr(,\"brks\") #> 01:00:20 #> 02:10:20 #> 03:02:21 #> Levels: 01:00:20 02:10:20 readr::parse_datetime(c(\"1992-02-01 01:00:20\", \"1992-02-06 03:00:20\", \"1992-05-01 01:20:20\", \"1992-09-01 08:20:20\", \"1999-02-01 21:20:20\", \"1992-12-01 03:02:20\")) |> cut(2) #> [1] 1992-02-01 01:00:20 1992-02-01 01:00:20 1992-02-01 01:00:20 #> [4] 1992-02-01 01:00:20 1999-02-01 21:20:20 1992-02-01 01:00:20 #> Levels: 1992-02-01 01:00:20 1999-02-01 21:20:20 readr::parse_datetime(c(\"1992-02-01 01:00:20\", \"1992-02-06 03:00:20\", \"1992-05-01 01:20:20\", \"1992-09-01 08:20:20\", \"1999-02-01 21:20:20\", \"1992-12-01 03:02:20\")) |> cut(breaks=\"weekday\") #> Error in cut.POSIXt(readr::parse_datetime(c(\"1992-02-01 01:00:20\", \"1992-02-06 03:00:20\",     \"1992-05-01 01:20:20\", \"1992-09-01 08:20:20\", \"1999-02-01 21:20:20\",     \"1992-12-01 03:02:20\")), breaks = \"weekday\"): invalid specification of 'breaks' readr::parse_datetime(c(\"1992-02-01 01:00:20\", \"1992-02-06 03:00:20\", \"1992-05-01 01:20:20\", \"1992-09-01 08:20:20\", \"1999-02-01 21:20:20\", \"1992-12-01 03:02:20\")) |> cut(breaks=\"month_only\") #> Error in cut.POSIXt(readr::parse_datetime(c(\"1992-02-01 01:00:20\", \"1992-02-06 03:00:20\",     \"1992-05-01 01:20:20\", \"1992-09-01 08:20:20\", \"1999-02-01 21:20:20\",     \"1992-12-01 03:02:20\")), breaks = \"month_only\"): invalid specification of 'breaks' as.Date(c(\"1992-02-01 01:00:20\", \"1992-02-06 03:00:20\", \"1992-05-01 01:20:20\", \"1992-09-01 08:20:20\", \"1999-02-01 21:20:20\", \"1992-12-01 03:02:20\")) |> cut(2) #> [1] 1992-02-01 1992-02-01 1992-02-01 1992-02-01 1999-02-01 1992-02-01 #> Levels: 1992-02-01 1999-02-01 as.Date(c(\"1992-02-01 01:00:20\", \"1992-02-06 03:00:20\", \"1992-05-01 01:20:20\", \"1992-09-01 08:20:20\", \"1999-02-01 21:20:20\", \"1992-12-01 03:02:20\")) |> cut(breaks=\"weekday\") #> Error in cut.Date(as.Date(c(\"1992-02-01 01:00:20\", \"1992-02-06 03:00:20\",     \"1992-05-01 01:20:20\", \"1992-09-01 08:20:20\", \"1999-02-01 21:20:20\",     \"1992-12-01 03:02:20\")), breaks = \"weekday\"): invalid specification of 'breaks'"},{"path":"https://agdamsbo.github.io/freesearcheR/reference/data-summary.html","id":null,"dir":"Reference","previous_headings":"","what":"Data summary module — data-summary","title":"Data summary module — data-summary","text":"Data 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tibble","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/default_parsing.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Default data parsing — default_parsing","text":"","code":"mtcars |> str() #> 'data.frame':\t32 obs. of  11 variables: #>  $ mpg : num  21 21 22.8 21.4 18.7 18.1 14.3 24.4 22.8 19.2 ... #>  $ cyl : num  6 6 4 6 8 6 8 4 4 6 ... #>  $ disp: num  160 160 108 258 360 ... #>  $ hp  : num  110 110 93 110 175 105 245 62 95 123 ... #>  $ drat: num  3.9 3.9 3.85 3.08 3.15 2.76 3.21 3.69 3.92 3.92 ... #>  $ wt  : num  2.62 2.88 2.32 3.21 3.44 ... #>  $ qsec: num  16.5 17 18.6 19.4 17 ... #>  $ vs  : num  0 0 1 1 0 1 0 1 1 1 ... #>  $ am  : num  1 1 1 0 0 0 0 0 0 0 ... #>  $ gear: num  4 4 4 3 3 3 3 4 4 4 ... #>  $ carb: num  4 4 1 1 2 1 4 2 2 4 ... mtcars |>   default_parsing() |>   str() #> tibble [32 × 11] (S3: tbl_df/tbl/data.frame) #>  $ mpg : num [1:32] 21 21 22.8 21.4 18.7 18.1 14.3 24.4 22.8 19.2 ... #>  $ cyl : Factor w/ 3 levels \"4\",\"6\",\"8\": 2 2 1 2 3 2 3 1 1 2 ... #>  $ disp: num [1:32] 160 160 108 258 360 ... #>  $ hp  : num [1:32] 110 110 93 110 175 105 245 62 95 123 ... #>  $ drat: num [1:32] 3.9 3.9 3.85 3.08 3.15 2.76 3.21 3.69 3.92 3.92 ... #>  $ wt  : num [1:32] 2.62 2.88 2.32 3.21 3.44 ... #>  $ qsec: num [1:32] 16.5 17 18.6 19.4 17 ... #>  $ vs  : Factor w/ 2 levels \"0\",\"1\": 1 1 2 2 1 2 1 2 2 2 ... #>  $ am  : Factor w/ 2 levels \"0\",\"1\": 2 2 2 1 1 1 1 1 1 1 ... #>  $ gear: Factor w/ 3 levels \"3\",\"4\",\"5\": 2 2 2 1 1 1 1 2 2 2 ... #>  $ carb: Factor w/ 6 levels \"1\",\"2\",\"3\",\"4\",..: 4 4 1 1 2 1 4 2 2 4 ..."},{"path":"https://agdamsbo.github.io/freesearcheR/reference/factorize.html","id":null,"dir":"Reference","previous_headings":"","what":"Factorize variables in data.frame — factorize","title":"Factorize variables in data.frame — factorize","text":"Factorize variables 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file_export","text":"Title","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/file_export.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Title — file_export","text":"","code":"file_export(data, output.format = c(\"df\", \"teal\", \"list\"), filename, ...)"},{"path":"https://agdamsbo.github.io/freesearcheR/reference/file_export.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Title — file_export","text":"data data output.format output filename filename ... passed ","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/file_export.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Title — file_export","text":"data","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/format_writer.html","id":null,"dir":"Reference","previous_headings":"","what":"Merges list of named arguments for qmd header generation — format_writer","title":"Merges list of named arguments for qmd header generation — format_writer","text":"Merges list named arguments qmd header generation","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/format_writer.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Merges list of named arguments for qmd header generation — format_writer","text":"","code":"format_writer(data, name)"},{"path":"https://agdamsbo.github.io/freesearcheR/reference/format_writer.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Merges list of named arguments for qmd header generation — format_writer","text":"data vector name name","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/format_writer.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Merges list of named arguments for qmd header generation — format_writer","text":"vector","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/getfun.html","id":null,"dir":"Reference","previous_headings":"","what":"Wrapper function to get function from character vector referring to function from namespace. 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Passed to 'do.call()' — getfun","text":"x function function name","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/getfun.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Wrapper function to get function from character vector referring to function from namespace. Passed to 'do.call()' — getfun","text":"function character vector","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/getfun.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Wrapper function to get function from character vector referring to function from namespace. Passed to 'do.call()' — getfun","text":"","code":"getfun(\"stats::lm\") #> function (formula, data, subset, weights, na.action, method = \"qr\",  #>     model = TRUE, x = FALSE, y = FALSE, qr = TRUE, singular.ok = TRUE,  #>     contrasts = NULL, offset, ...)  #> { #>     ret.x <- x #>     ret.y <- y #>     cl <- match.call() #>     mf <- match.call(expand.dots = FALSE) #>     m <- match(c(\"formula\", \"data\", \"subset\", \"weights\", \"na.action\",  #>         \"offset\"), names(mf), 0L) #>     mf <- mf[c(1L, m)] #>     mf$drop.unused.levels <- TRUE #>     mf[[1L]] <- quote(stats::model.frame) #>     mf <- eval(mf, parent.frame()) #>     if (method == \"model.frame\")  #>         return(mf) #>     else if (method != \"qr\")  #>         warning(gettextf(\"method = '%s' is not supported. Using 'qr'\",  #>             method), domain = NA) #>     mt <- attr(mf, \"terms\") #>     y <- model.response(mf, \"numeric\") #>     w <- as.vector(model.weights(mf)) #>     if (!is.null(w) && !is.numeric(w))  #>         stop(\"'weights' must be a numeric vector\") #>     offset <- model.offset(mf) #>     mlm <- is.matrix(y) #>     ny <- if (mlm)  #>         nrow(y) #>     else length(y) #>     if (!is.null(offset)) { #>         if (!mlm)  #>             offset <- as.vector(offset) #>         if (NROW(offset) != ny)  #>             stop(gettextf(\"number of offsets is %d, should equal %d (number of observations)\",  #>                 NROW(offset), ny), domain = NA) #>     } #>     if (is.empty.model(mt)) { #>         x <- NULL #>         z <- list(coefficients = if (mlm) matrix(NA_real_, 0,  #>             ncol(y)) else numeric(), residuals = y, fitted.values = 0 *  #>             y, weights = w, rank = 0L, df.residual = if (!is.null(w)) sum(w !=  #>             0) else ny) #>         if (!is.null(offset)) { #>             z$fitted.values <- offset #>             z$residuals <- y - offset #>         } #>     } #>     else { #>         x <- model.matrix(mt, mf, contrasts) #>         z <- if (is.null(w))  #>             lm.fit(x, y, offset = offset, singular.ok = singular.ok,  #>                 ...) #>         else lm.wfit(x, y, w, offset = offset, singular.ok = singular.ok,  #>             ...) #>     } #>     class(z) <- c(if (mlm) \"mlm\", \"lm\") #>     z$na.action <- attr(mf, \"na.action\") #>     z$offset <- offset #>     z$contrasts <- attr(x, \"contrasts\") #>     z$xlevels <- .getXlevels(mt, mf) #>     z$call <- cl #>     z$terms <- mt #>     if (model)  #>         z$model <- mf #>     if (ret.x)  #>         z$x <- x #>     if (ret.y)  #>         z$y <- y #>     if (!qr)  #>         z$qr <- NULL #>     z #> } #> <bytecode: 0x5567628c3f78> #> <environment: namespace:stats>"},{"path":"https://agdamsbo.github.io/freesearcheR/reference/index_embed.html","id":null,"dir":"Reference","previous_headings":"","what":"Split vector by an index and embed addition — index_embed","title":"Split vector by an index and embed addition — index_embed","text":"Split vector index embed addition","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/index_embed.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Split vector by an index and embed addition — index_embed","text":"","code":"index_embed(data, index, add = NULL)"},{"path":"https://agdamsbo.github.io/freesearcheR/reference/index_embed.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Split vector by an index and embed addition — index_embed","text":"data vector index split index add addition","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/index_embed.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Split vector by an index and embed addition — index_embed","text":"vector","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/is_any_class.html","id":null,"dir":"Reference","previous_headings":"","what":"Test class — is_any_class","title":"Test class — is_any_class","text":"Test class","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/is_any_class.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Test class — is_any_class","text":"","code":"is_any_class(data, class.vec)"},{"path":"https://agdamsbo.github.io/freesearcheR/reference/is_any_class.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Test class — is_any_class","text":"data data class.vec vector class names test","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/is_any_class.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Test class — is_any_class","text":"factor","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/is_any_class.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Test class — is_any_class","text":"","code":"if (FALSE) { # \\dontrun{ vapply(REDCapCAST::redcapcast_data, \\(.x){   is_any_class(.x, c(\"hms\", \"Date\", \"POSIXct\", \"POSIXt\")) }, logical(1)) } # }"},{"path":"https://agdamsbo.github.io/freesearcheR/reference/is_consecutive.html","id":null,"dir":"Reference","previous_headings":"","what":"Checks if elements in vector are equally spaced as indication of ID — is_consecutive","title":"Checks if elements in vector are equally spaced as indication of ID — is_consecutive","text":"Checks elements vector equally spaced indication ID","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/is_consecutive.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Checks if elements in vector are equally spaced as indication of ID — is_consecutive","text":"","code":"is_consecutive(data)"},{"path":"https://agdamsbo.github.io/freesearcheR/reference/is_consecutive.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Checks if elements in vector are equally spaced as indication of ID — is_consecutive","text":"data vector","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/is_consecutive.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Checks if elements in vector are equally spaced as indication of ID — is_consecutive","text":"logical","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/is_consecutive.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Checks if elements in vector are equally spaced as indication of ID — is_consecutive","text":"","code":"1:10 |> is_consecutive() #> [1] TRUE sample(1:100,40) |> is_consecutive() #> [1] FALSE"},{"path":"https://agdamsbo.github.io/freesearcheR/reference/is_datetime.html","id":null,"dir":"Reference","previous_headings":"","what":"Test is date/datetime/time — is_datetime","title":"Test is date/datetime/time — is_datetime","text":"Test date/datetime/time","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/is_datetime.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Test is date/datetime/time — is_datetime","text":"","code":"is_datetime(data)"},{"path":"https://agdamsbo.github.io/freesearcheR/reference/is_datetime.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Test is date/datetime/time — is_datetime","text":"data data","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/is_datetime.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Test is date/datetime/time — is_datetime","text":"factor","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/is_datetime.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Test is date/datetime/time — is_datetime","text":"","code":"vapply(REDCapCAST::redcapcast_data, is_datetime, logical(1)) #>                    record_id            redcap_event_name  #>                        FALSE                        FALSE  #>     redcap_repeat_instrument       redcap_repeat_instance  #>                        FALSE                        FALSE  #>                          cpr                    inclusion  #>                        FALSE                         TRUE  #>               inclusion_time                          dob  #>                         TRUE                         TRUE  #>                          age                  age_integer  #>                        FALSE                        FALSE  #>                          sex                 cohabitation  #>                        FALSE                        FALSE  #>                 hypertension                     diabetes  #>                        FALSE                        FALSE  #>                       region baseline_data_start_complete  #>                        FALSE                        FALSE  #>                 mrs_assessed                     mrs_date  #>                        FALSE                         TRUE  #>                    mrs_score                 mrs_complete  #>                        FALSE                        FALSE  #>                      con_mrs                     con_calc  #>                        FALSE                        FALSE  #>           consensus_complete               event_datetime  #>                        FALSE                         TRUE  #>                    event_age                   event_type  #>                        FALSE                        FALSE  #>           new_event_complete  #>                        FALSE"},{"path":"https://agdamsbo.github.io/freesearcheR/reference/m_datafileUI.html","id":null,"dir":"Reference","previous_headings":"","what":"Shiny UI module to load a data file — m_datafileUI","title":"Shiny UI module to load a data file — m_datafileUI","text":"Shiny UI module load data file","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/m_datafileUI.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Shiny UI module to load a data file — m_datafileUI","text":"","code":"m_datafileUI(id)"},{"path":"https://agdamsbo.github.io/freesearcheR/reference/m_datafileUI.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Shiny UI module to load a data file — m_datafileUI","text":"id id","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/m_datafileUI.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Shiny UI module to load a data file — m_datafileUI","text":"shiny UI","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/modify_qmd.html","id":null,"dir":"Reference","previous_headings":"","what":"Wrapper to modify quarto file to render specific formats — modify_qmd","title":"Wrapper to modify quarto file to render specific formats — modify_qmd","text":"Wrapper modify quarto file render specific formats","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/modify_qmd.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Wrapper to modify quarto file to render specific formats — modify_qmd","text":"","code":"modify_qmd(file, format)"},{"path":"https://agdamsbo.github.io/freesearcheR/reference/modify_qmd.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Wrapper to modify quarto file to render specific formats — modify_qmd","text":"file filename format desired output","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/modify_qmd.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Wrapper to modify quarto file to render specific formats — modify_qmd","text":"none","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/overview_vars.html","id":null,"dir":"Reference","previous_headings":"","what":"Create a data overview data.frame ready for sparklines — overview_vars","title":"Create a data overview data.frame ready for sparklines — overview_vars","text":"Create data overview data.frame ready sparklines","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/overview_vars.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Create a data overview data.frame ready for sparklines — overview_vars","text":"","code":"overview_vars(data)"},{"path":"https://agdamsbo.github.io/freesearcheR/reference/overview_vars.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Create a data overview data.frame ready for sparklines — overview_vars","text":"data data","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/overview_vars.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Create a data overview data.frame ready for sparklines — overview_vars","text":"data.frame","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/overview_vars.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Create a data overview data.frame ready for sparklines — overview_vars","text":"","code":"mtcars |> overview_vars() #> # A tibble: 11 × 6 #>    class   name  n_missing p_complete n_unique vals         #>    <chr>   <chr>     <dbl>      <dbl>    <int> <named list> #>  1 numeric mpg           0          1       25 <dbl [32]>   #>  2 numeric cyl           0          1        3 <dbl [32]>   #>  3 numeric disp          0          1       27 <dbl [32]>   #>  4 numeric hp            0          1       22 <dbl [32]>   #>  5 numeric drat          0          1       22 <dbl [32]>   #>  6 numeric wt            0          1       29 <dbl [32]>   #>  7 numeric qsec          0          1       30 <dbl [32]>   #>  8 numeric vs            0          1        2 <dbl [32]>   #>  9 numeric am            0          1        2 <dbl [32]>   #> 10 numeric gear          0          1        3 <dbl [32]>   #> 11 numeric carb          0          1        6 <dbl [32]>"},{"path":"https://agdamsbo.github.io/freesearcheR/reference/read_input.html","id":null,"dir":"Reference","previous_headings":"","what":"Flexible file import based on extension — read_input","title":"Flexible file import based on extension — read_input","text":"Flexible file import based extension","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/read_input.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Flexible file import based on extension — read_input","text":"","code":"read_input(file, consider.na = c(\"NA\", \"\\\"\\\"\", \"\"))"},{"path":"https://agdamsbo.github.io/freesearcheR/reference/read_input.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Flexible file import based on extension — read_input","text":"file file name consider.na character vector strings consider NAs","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/read_input.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Flexible file import based on extension — read_input","text":"tibble","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/read_input.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Flexible file import based on extension — read_input","text":"","code":"read_input(\"https://raw.githubusercontent.com/agdamsbo/cognitive.index.lookup/main/data/sample.csv\") #> Rows: 28 Columns: 8 #> ── Column specification ──────────────────────────────────────────────────────── #> Delimiter: \",\" #> dbl (8): id, ab, age, imm, vis, ver, att, del #>  #> ℹ Use `spec()` to retrieve the full column specification for this data. #> ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message. #> # A tibble: 28 × 8 #>       id    ab   age   imm   vis   ver   att   del #>    <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> #>  1     1     1    74    38    35    30    29    35 #>  2     1     2    69    36    36    21    27    37 #>  3     2     1    63    32    31    26    34    38 #>  4     2     2    64    37    34    26    36    46 #>  5     3     1    69    39    33    31    47    29 #>  6     3     2    70    40    36    31    46    25 #>  7     4     1    79    44    37    20    37    36 #>  8     4     2    81    35    36    31    37    40 #>  9     5     1    77    35    26    17    20    36 #> 10     5     2    80    29    34    18    23    36 #> # ℹ 18 more rows"},{"path":"https://agdamsbo.github.io/freesearcheR/reference/redcap_read_shiny_module.html","id":null,"dir":"Reference","previous_headings":"","what":"Shiny module to browser and export REDCap data — m_redcap_readUI","title":"Shiny module to browser and export REDCap data — m_redcap_readUI","text":"Shiny module browser export REDCap data REDCap import teal data module Test app redcap_read_shiny_module","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/redcap_read_shiny_module.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Shiny module to browser and export REDCap data — m_redcap_readUI","text":"","code":"m_redcap_readUI(id, include_title = TRUE)  m_redcap_readServer(id, output.format = c(\"df\", \"teal\", \"list\"))  tdm_redcap_read  redcap_app()"},{"path":"https://agdamsbo.github.io/freesearcheR/reference/redcap_read_shiny_module.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Shiny module to browser and export REDCap data — m_redcap_readUI","text":"object class teal_data_module length 2.","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/redcap_read_shiny_module.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Shiny module to browser and export REDCap data — m_redcap_readUI","text":"id Namespace id include_title logical include title output.format data.frame (\"df\") teal data object (\"teal\")","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/redcap_read_shiny_module.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Shiny module to browser and export REDCap data — m_redcap_readUI","text":"shiny ui element shiny server module","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/redcap_read_shiny_module.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Shiny module to browser and export REDCap data — m_redcap_readUI","text":"","code":"if (FALSE) { # \\dontrun{ redcap_app() } # }"},{"path":"https://agdamsbo.github.io/freesearcheR/reference/regression_model.html","id":null,"dir":"Reference","previous_headings":"","what":"Create a regression model programatically — regression_model","title":"Create a regression model programatically — regression_model","text":"Create regression model programatically","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/regression_model.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Create a regression model programatically — regression_model","text":"","code":"regression_model(   data,   outcome.str,   auto.mode = TRUE,   formula.str = NULL,   args.list = NULL,   fun = NULL,   vars = NULL,   ... )"},{"path":"https://agdamsbo.github.io/freesearcheR/reference/regression_model.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Create a regression model programatically — regression_model","text":"data data set outcome.str Name outcome variable. Character vector. auto.mode Make assumptions function dependent outcome data format. Overwrites arguments. formula.str Formula string. Passed 'glue::glue'. given, 'outcome.str' 'vars' ignored. Optional. args.list List arguments passed 'fun' '.call'. fun Name function character vector function use model creation. vars character vector variables include ... ignored now","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/regression_model.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Create a regression model programatically — regression_model","text":"object standard class fun","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/regression_model.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Create a regression model programatically — regression_model","text":"","code":"gtsummary::trial |>   regression_model(outcome.str = \"age\") #>  #> Call: #> (function (formula, data, subset, weights, na.action, method = \"qr\",  #>     model = TRUE, x = FALSE, y = FALSE, qr = TRUE, singular.ok = TRUE,  #>     contrasts = NULL, offset, ...)  #> { #>     ret.x <- x #>     ret.y <- y #>     cl <- match.call() #>     mf <- match.call(expand.dots = FALSE) #>     m <- match(c(\"formula\", \"data\", \"subset\", \"weights\", \"na.action\",  #>         \"offset\"), names(mf), 0L) #>     mf <- mf[c(1L, m)] #>     mf$drop.unused.levels <- TRUE #>     mf[[1L]] <- quote(stats::model.frame) #>     mf <- eval(mf, parent.frame()) #>     if (method == \"model.frame\")  #>         return(mf) #>     else if (method != \"qr\")  #>         warning(gettextf(\"method = '%s' is not supported. Using 'qr'\",  #>             method), domain = NA) #>     mt <- attr(mf, \"terms\") #>     y <- model.response(mf, \"numeric\") #>     w <- as.vector(model.weights(mf)) #>     if (!is.null(w) && !is.numeric(w))  #>         stop(\"'weights' must be a numeric vector\") #>     offset <- model.offset(mf) #>     mlm <- is.matrix(y) #>     ny <- if (mlm)  #>         nrow(y) #>     else length(y) #>     if (!is.null(offset)) { #>         if (!mlm)  #>             offset <- as.vector(offset) #>         if (NROW(offset) != ny)  #>             stop(gettextf(\"number of offsets is %d, should equal %d (number of observations)\",  #>                 NROW(offset), ny), domain = NA) #>     } #>     if (is.empty.model(mt)) { #>         x <- NULL #>         z <- list(coefficients = if (mlm) matrix(NA_real_, 0,  #>             ncol(y)) else numeric(), residuals = y, fitted.values = 0 *  #>             y, weights = w, rank = 0L, df.residual = if (!is.null(w)) sum(w !=  #>             0) else ny) #>         if (!is.null(offset)) { #>             z$fitted.values <- offset #>             z$residuals <- y - offset #>         } #>     } #>     else { #>         x <- model.matrix(mt, mf, contrasts) #>         z <- if (is.null(w))  #>             lm.fit(x, y, offset = offset, singular.ok = singular.ok,  #>                 ...) #>         else lm.wfit(x, y, w, offset = offset, singular.ok = singular.ok,  #>             ...) #>     } #>     class(z) <- c(if (mlm) \"mlm\", \"lm\") #>     z$na.action <- attr(mf, \"na.action\") #>     z$offset <- offset #>     z$contrasts <- attr(x, \"contrasts\") #>     z$xlevels <- .getXlevels(mt, mf) #>     z$call <- cl #>     z$terms <- mt #>     if (model)  #>         z$model <- mf #>     if (ret.x)  #>         z$x <- x #>     if (ret.y)  #>         z$y <- y #>     if (!qr)  #>         z$qr <- NULL #>     z #> })(formula = age ~ trt + marker + stage + grade + response +  #>     death + ttdeath, data = structure(list(trt = structure(c(1L,  #> 2L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L,  #> 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 1L, 2L,  #> 1L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 2L,  #> 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 2L,  #> 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 1L,  #> 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L,  #> 2L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 1L, 1L,  #> 1L, 2L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 1L,  #> 2L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 1L, 2L, 2L,  #> 1L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 2L,  #> 2L, 2L, 1L, 2L, 2L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 1L,  #> 2L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L,  #> 2L, 1L, 2L, 1L, 1L, 1L, 1L), levels = c(\"Drug A\", \"Drug B\"), class = \"factor\", label = \"Chemotherapy Treatment\"),  #>     age = structure(c(23, 9, 31, NA, 51, 39, 37, 32, 31, 34,  #>     42, 63, 54, 21, 48, 71, 38, 49, 57, 46, 47, 52, 61, 38, 34,  #>     49, 63, 67, 68, 78, 36, 37, 53, 36, 51, 48, 57, 31, 37, 28,  #>     40, 49, 61, 56, 54, 71, 38, 31, 48, NA, 83, 52, 32, 53, 69,  #>     60, 45, 39, NA, 38, 36, 71, 31, 43, 57, 53, 25, 44, 25, 30,  #>     51, 40, NA, 43, 21, 54, 67, 43, 54, 41, 34, 34, 6, 39, 36,  #>     58, 27, 47, NA, 50, 61, 47, 52, 51, 68, 33, 65, 34, 38, 60,  #>     10, 49, 56, 50, 60, 49, 54, 39, 48, 65, 47, 61, 34, NA, NA,  #>     58, 26, 44, 17, 68, 57, 66, 44, NA, 67, 48, 62, 35, 53, 53,  #>     66, 55, 57, 47, 58, 43, 45, 44, 63, 59, 44, 53, 51, 28, 65,  #>     63, 76, 61, 33, 48, 42, 36, 55, 20, 26, 50, 47, 74, 50, 31,  #>     45, 51, 66, 76, 47, 48, 56, 70, 46, 43, 41, 41, 19, 49, 43,  #>     43, 75, 52, 42, 37, 45, 35, 67, 38, 44, 45, 39, 46, NA, 42,  #>     60, 31, 45, 38, NA, 19, 69, 66, NA, 64), label = \"Age\"),  #>     marker = structure(c(0.16, 1.107, 0.277, 2.067, 2.767, 0.613,  #>     0.354, 1.739, 0.144, 0.205, 0.513, 0.06, 0.831, 0.258, 0.128,  #>     0.445, 2.083, 0.157, 0.066, 0.325, 0.266, 0.719, 1.713, 0.096,  #>     0.105, 0.043, 0.981, 1.156, 0.105, 0.175, 0.309, 1.869, 2.008,  #>     1.894, 0.16, 1.209, 0.108, 0.611, 0.222, 0.803, 0.37, NA,  #>     0.177, 1.479, 0.161, 0.737, 0.124, 0.092, 0.385, 0.21, 0.475,  #>     1.628, 0.583, NA, 0.702, 1.206, 2.213, 1.406, 0.101, 0.013,  #>     2.032, 1.046, 0.408, 2.636, 1.263, NA, 2.447, 1.041, 0.531,  #>     0.924, 1.087, 0.733, 2.157, 0.333, 1.527, 2.238, 0.153, 0.305,  #>     0.131, 0.386, 1.645, 1.321, 0.229, 0.615, 1.976, 1.941, 0.22,  #>     3.874, 0.982, 1.68, 1.091, 0.169, 0.511, 2.141, 0.599, NA,  #>     0.389, 0.005, 0.075, 1.491, 0.358, 1.709, 0.056, 1.354, 2.522,  #>     0.387, 0.592, 0.243, 0.215, 1.207, 0.29, 0.718, 0.589, 0.003,  #>     1.328, 0.308, 0.691, 3.249, 0.039, 1.804, 0.238, 2.702, 1.441,  #>     0.27, NA, NA, 0.062, 2.19, 0.976, 3.062, 0.124, 0.045, 1.892,  #>     0.711, 1.079, 1.061, 0.239, 0.361, 0.033, 1.133, 1.225, 1.418,  #>     3.751, 3.02, 0.086, 0.772, 1.882, 2.725, 2.41, 0.352, 0.895,  #>     0.215, 0.141, 2.288, 1.658, 1.255, 1.306, 0.081, 0.667, 0.046,  #>     0.662, 1.985, 1.063, 1.55, 0.015, 0.056, NA, 0.51, 0.929,  #>     2.345, 0.25, 0.816, 0.022, 0.16, 0.547, 3.642, 0.092, 1.2,  #>     1.512, 2.124, NA, 0.862, 0.182, 1.075, 0.021, 0.402, 0.063,  #>     1.129, 0.61, NA, 0.717, 0.205, 0.946, 0.386, 0.37, 1.148,  #>     NA, 0.136, 0.439, 1.148), label = \"Marker Level (ng/mL)\"),  #>     stage = structure(c(1L, 2L, 1L, 3L, 4L, 4L, 1L, 1L, 1L, 3L,  #>     1L, 3L, 4L, 4L, 1L, 4L, 4L, 2L, 1L, 1L, 2L, 2L, 4L, 4L, 4L,  #>     2L, 4L, 1L, 4L, 3L, 1L, 2L, 3L, 3L, 3L, 3L, 1L, 1L, 4L, 4L,  #>     3L, 1L, 4L, 3L, 4L, 1L, 1L, 2L, 1L, 4L, 1L, 2L, 2L, 3L, 3L,  #>     2L, 4L, 1L, 4L, 2L, 4L, 1L, 4L, 1L, 4L, 1L, 1L, 1L, 4L, 1L,  #>     2L, 2L, 2L, 1L, 4L, 4L, 2L, 2L, 4L, 4L, 3L, 2L, 4L, 3L, 2L,  #>     4L, 1L, 2L, 1L, 4L, 3L, 3L, 1L, 3L, 2L, 3L, 2L, 2L, 3L, 4L,  #>     4L, 3L, 3L, 2L, 3L, 2L, 2L, 3L, 2L, 1L, 1L, 3L, 4L, 1L, 4L,  #>     3L, 3L, 2L, 4L, 2L, 1L, 2L, 1L, 4L, 3L, 3L, 3L, 2L, 1L, 2L,  #>     1L, 2L, 2L, 1L, 3L, 2L, 1L, 1L, 1L, 3L, 3L, 4L, 1L, 2L, 2L,  #>     1L, 3L, 4L, 2L, 4L, 2L, 1L, 2L, 3L, 1L, 3L, 4L, 2L, 2L, 1L,  #>     2L, 2L, 3L, 1L, 2L, 2L, 1L, 1L, 3L, 2L, 3L, 1L, 1L, 2L, 4L,  #>     2L, 4L, 4L, 2L, 3L, 4L, 3L, 4L, 4L, 1L, 1L, 4L, 4L, 4L, 1L,  #>     2L, 2L, 2L, 4L, 3L, 3L, 2L, 2L, 4L, 3L), levels = c(\"T1\",  #>     \"T2\", \"T3\", \"T4\"), class = \"factor\", label = \"T Stage\"),  #>     grade = structure(c(2L, 1L, 2L, 3L, 3L, 1L, 2L, 1L, 2L, 1L,  #>     3L, 1L, 3L, 1L, 1L, 3L, 3L, 2L, 3L, 2L, 1L, 2L, 1L, 1L, 2L,  #>     3L, 2L, 2L, 2L, 1L, 3L, 2L, 1L, 1L, 1L, 3L, 2L, 2L, 3L, 2L,  #>     2L, 3L, 3L, 1L, 3L, 1L, 3L, 2L, 2L, 2L, 3L, 3L, 3L, 2L, 3L,  #>     1L, 3L, 1L, 2L, 2L, 3L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 3L, 2L,  #>     1L, 3L, 3L, 3L, 2L, 3L, 3L, 1L, 2L, 1L, 1L, 1L, 1L, 3L, 1L,  #>     3L, 1L, 1L, 1L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 2L, 3L, 1L,  #>     3L, 1L, 2L, 2L, 1L, 2L, 2L, 3L, 1L, 3L, 3L, 1L, 1L, 1L, 2L,  #>     3L, 3L, 2L, 1L, 3L, 2L, 1L, 2L, 2L, 2L, 1L, 3L, 3L, 2L, 3L,  #>     1L, 1L, 1L, 2L, 2L, 3L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 3L, 2L,  #>     2L, 2L, 2L, 2L, 1L, 1L, 3L, 2L, 2L, 1L, 2L, 1L, 2L, 3L, 2L,  #>     1L, 1L, 1L, 3L, 1L, 1L, 2L, 1L, 1L, 3L, 3L, 1L, 3L, 2L, 1L,  #>     3L, 1L, 2L, 1L, 1L, 3L, 1L, 2L, 1L, 2L, 2L, 2L, 3L, 2L, 2L,  #>     3L, 2L, 3L, 3L, 2L, 1L, 2L, 3L, 3L, 1L), levels = c(\"I\",  #>     \"II\", \"III\"), class = \"factor\", label = \"Grade\"), response = structure(c(0L,  #>     1L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L,  #>     1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, 1L,  #>     0L, 0L, 1L, 0L, NA, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 1L, 1L, 1L,  #>     1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 1L, 0L,  #>     0L, 0L, 0L, NA, 0L, 1L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 0L,  #>     0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 0L, 0L,  #>     0L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, NA, 0L, 0L, 1L,  #>     0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 1L,  #>     0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 0L,  #>     1L, 1L, NA, 1L, 1L, 1L, 0L, 1L, 0L, 0L, 1L, 0L, NA, 1L, 0L,  #>     0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, 1L, 0L, 0L,  #>     0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 1L, 1L, 0L, 1L, NA, 0L, 1L,  #>     0L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, NA, 0L,  #>     1L, 1L, 0L, 0L), label = \"Tumor Response\"), death = structure(c(0L,  #>     0L, 0L, 1L, 1L, 1L, 0L, 1L, 0L, 1L, 0L, 0L, 1L, 1L, 1L, 1L,  #>     0L, 1L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 0L,  #>     1L, 0L, 0L, 0L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 0L,  #>     0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,  #>     0L, 1L, 0L, 0L, 1L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 1L,  #>     1L, 1L, 1L, 0L, 1L, 0L, 0L, 0L, 1L, 1L, 0L, 1L, 1L, 1L, 1L,  #>     1L, 1L, 0L, 0L, 1L, 1L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 1L, 1L,  #>     1L, 1L, 0L, 1L, 1L, 0L, 1L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 0L,  #>     0L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 0L, 1L,  #>     0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 1L, 0L,  #>     0L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 1L,  #>     1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 1L, 1L, 1L,  #>     0L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 1L, 0L, 1L, 1L, 0L,  #>     1L, 0L, 1L, 0L), label = \"Patient Died\"), ttdeath = structure(c(24,  #>     24, 24, 17.64, 16.43, 15.64, 24, 18.43, 24, 10.53, 24, 24,  #>     14.34, 12.89, 22.68, 8.71, 24, 15.21, 24, 24, 24, 24, 16.92,  #>     23.89, 6.32, 15.77, 24, 24, 15.45, 17.43, 24, 20.9, 24, 24,  #>     24, 21.19, 12.52, 24, 15.59, 18, 18.02, 12.43, 12.1, 24,  #>     17.42, 24, 24, 24, 12.19, 10.02, 18.23, 10.42, 24, 24, 19.34,  #>     12.21, 14.46, 19.34, 10.16, 13.15, 10.12, 24, 22.77, 24,  #>     24, 22.13, 24, 20.62, 23.23, 7.38, 24, 24, 24, 24, 24, 19.22,  #>     7.27, 23.88, 16.23, 24, 14.06, 24, 24, 24, 16.44, 23.81,  #>     24, 18.37, 11.44, 20.94, 5.33, 22.92, 10.33, 24, 24, 14.54,  #>     19.14, 24, 21.19, 16.07, 9.97, 24, 24, 24, 19.75, 16.67,  #>     11.18, 18.29, 24, 17.56, 17.45, 24, 22.86, 13.68, 24, 24,  #>     17.46, 24, 24, 24, 24, 24, 13, 9.73, 15.65, 24, 3.53, 20.35,  #>     23.41, 16.47, 24, 24, 14.65, 17.81, 24, 21.83, 24, 24, 21.49,  #>     12.68, 24, 24, 24, 24, 10.07, 24, 24, 24, 8.37, 20.33, 24,  #>     24, 21.33, 12.63, 13.08, 24, 15.1, 20.14, 10.55, 24, 24,  #>     24, 24, 23.6, 24, 19.98, 15.55, 23.72, 22.41, 19.54, 16.57,  #>     24, 24, 24, 21.91, 24, 12.53, 24, 18.63, 14.82, 16.46, 24,  #>     9.24, 17.77, 24, 24, 9.92, 16.16, 10.51, 20.81, 24, 16.44,  #>     24, 22.4, 11.76, 24, 21.6, 24, 19.81, 24), label = \"Months to Death/Censor\")), class = c(\"tbl_df\",  #> \"tbl\", \"data.frame\"), row.names = c(NA, -200L))) #>  #> Coefficients: #> (Intercept)    trtDrug B       marker      stageT2      stageT3      stageT4   #>     45.9247      -0.4052      -0.1435       2.0519       2.4437      -3.1573   #>     gradeII     gradeIII     response        death      ttdeath   #>      0.1750       1.6855       4.9885       3.0775      -0.1394   #>  gtsummary::trial |>   regression_model(     outcome.str = \"age\",     auto.mode = FALSE,     fun = \"stats::lm\",     formula.str = \"{outcome.str}~.\",     args.list = NULL   ) #>  #> Call: #> (function (formula, data, subset, weights, na.action, method = \"qr\",  #>     model = TRUE, x = FALSE, y = FALSE, qr = TRUE, singular.ok = TRUE,  #>     contrasts = NULL, offset, ...)  #> { #>     ret.x <- x #>     ret.y <- y #>     cl <- match.call() #>     mf <- match.call(expand.dots = FALSE) #>     m <- match(c(\"formula\", \"data\", \"subset\", \"weights\", \"na.action\",  #>         \"offset\"), names(mf), 0L) #>     mf <- mf[c(1L, m)] #>     mf$drop.unused.levels <- TRUE #>     mf[[1L]] <- quote(stats::model.frame) #>     mf <- eval(mf, parent.frame()) #>     if (method == \"model.frame\")  #>         return(mf) #>     else if (method != \"qr\")  #>         warning(gettextf(\"method = '%s' is not supported. Using 'qr'\",  #>             method), domain = NA) #>     mt <- attr(mf, \"terms\") #>     y <- model.response(mf, \"numeric\") #>     w <- as.vector(model.weights(mf)) #>     if (!is.null(w) && !is.numeric(w))  #>         stop(\"'weights' must be a numeric vector\") #>     offset <- model.offset(mf) #>     mlm <- is.matrix(y) #>     ny <- if (mlm)  #>         nrow(y) #>     else length(y) #>     if (!is.null(offset)) { #>         if (!mlm)  #>             offset <- as.vector(offset) #>         if (NROW(offset) != ny)  #>             stop(gettextf(\"number of offsets is %d, should equal %d (number of observations)\",  #>                 NROW(offset), ny), domain = NA) #>     } #>     if (is.empty.model(mt)) { #>         x <- NULL #>         z <- list(coefficients = if (mlm) matrix(NA_real_, 0,  #>             ncol(y)) else numeric(), residuals = y, fitted.values = 0 *  #>             y, weights = w, rank = 0L, df.residual = if (!is.null(w)) sum(w !=  #>             0) else ny) #>         if (!is.null(offset)) { #>             z$fitted.values <- offset #>             z$residuals <- y - offset #>         } #>     } #>     else { #>         x <- model.matrix(mt, mf, contrasts) #>         z <- if (is.null(w))  #>             lm.fit(x, y, offset = offset, singular.ok = singular.ok,  #>                 ...) #>         else lm.wfit(x, y, w, offset = offset, singular.ok = singular.ok,  #>             ...) #>     } #>     class(z) <- c(if (mlm) \"mlm\", \"lm\") #>     z$na.action <- attr(mf, \"na.action\") #>     z$offset <- offset #>     z$contrasts <- attr(x, \"contrasts\") #>     z$xlevels <- .getXlevels(mt, mf) #>     z$call <- cl #>     z$terms <- mt #>     if (model)  #>         z$model <- mf #>     if (ret.x)  #>         z$x <- x #>     if (ret.y)  #>         z$y <- y #>     if (!qr)  #>         z$qr <- NULL #>     z #> })(formula = age ~ ., data = structure(list(trt = structure(c(1L,  #> 2L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L,  #> 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 1L, 2L,  #> 1L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 2L,  #> 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 2L,  #> 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 1L,  #> 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L,  #> 2L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 1L, 1L,  #> 1L, 2L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 1L,  #> 2L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 1L, 2L, 2L,  #> 1L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 2L,  #> 2L, 2L, 1L, 2L, 2L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 1L,  #> 2L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L,  #> 2L, 1L, 2L, 1L, 1L, 1L, 1L), levels = c(\"Drug A\", \"Drug B\"), class = \"factor\", label = \"Chemotherapy Treatment\"),  #>     age = structure(c(23, 9, 31, NA, 51, 39, 37, 32, 31, 34,  #>     42, 63, 54, 21, 48, 71, 38, 49, 57, 46, 47, 52, 61, 38, 34,  #>     49, 63, 67, 68, 78, 36, 37, 53, 36, 51, 48, 57, 31, 37, 28,  #>     40, 49, 61, 56, 54, 71, 38, 31, 48, NA, 83, 52, 32, 53, 69,  #>     60, 45, 39, NA, 38, 36, 71, 31, 43, 57, 53, 25, 44, 25, 30,  #>     51, 40, NA, 43, 21, 54, 67, 43, 54, 41, 34, 34, 6, 39, 36,  #>     58, 27, 47, NA, 50, 61, 47, 52, 51, 68, 33, 65, 34, 38, 60,  #>     10, 49, 56, 50, 60, 49, 54, 39, 48, 65, 47, 61, 34, NA, NA,  #>     58, 26, 44, 17, 68, 57, 66, 44, NA, 67, 48, 62, 35, 53, 53,  #>     66, 55, 57, 47, 58, 43, 45, 44, 63, 59, 44, 53, 51, 28, 65,  #>     63, 76, 61, 33, 48, 42, 36, 55, 20, 26, 50, 47, 74, 50, 31,  #>     45, 51, 66, 76, 47, 48, 56, 70, 46, 43, 41, 41, 19, 49, 43,  #>     43, 75, 52, 42, 37, 45, 35, 67, 38, 44, 45, 39, 46, NA, 42,  #>     60, 31, 45, 38, NA, 19, 69, 66, NA, 64), label = \"Age\"),  #>     marker = structure(c(0.16, 1.107, 0.277, 2.067, 2.767, 0.613,  #>     0.354, 1.739, 0.144, 0.205, 0.513, 0.06, 0.831, 0.258, 0.128,  #>     0.445, 2.083, 0.157, 0.066, 0.325, 0.266, 0.719, 1.713, 0.096,  #>     0.105, 0.043, 0.981, 1.156, 0.105, 0.175, 0.309, 1.869, 2.008,  #>     1.894, 0.16, 1.209, 0.108, 0.611, 0.222, 0.803, 0.37, NA,  #>     0.177, 1.479, 0.161, 0.737, 0.124, 0.092, 0.385, 0.21, 0.475,  #>     1.628, 0.583, NA, 0.702, 1.206, 2.213, 1.406, 0.101, 0.013,  #>     2.032, 1.046, 0.408, 2.636, 1.263, NA, 2.447, 1.041, 0.531,  #>     0.924, 1.087, 0.733, 2.157, 0.333, 1.527, 2.238, 0.153, 0.305,  #>     0.131, 0.386, 1.645, 1.321, 0.229, 0.615, 1.976, 1.941, 0.22,  #>     3.874, 0.982, 1.68, 1.091, 0.169, 0.511, 2.141, 0.599, NA,  #>     0.389, 0.005, 0.075, 1.491, 0.358, 1.709, 0.056, 1.354, 2.522,  #>     0.387, 0.592, 0.243, 0.215, 1.207, 0.29, 0.718, 0.589, 0.003,  #>     1.328, 0.308, 0.691, 3.249, 0.039, 1.804, 0.238, 2.702, 1.441,  #>     0.27, NA, NA, 0.062, 2.19, 0.976, 3.062, 0.124, 0.045, 1.892,  #>     0.711, 1.079, 1.061, 0.239, 0.361, 0.033, 1.133, 1.225, 1.418,  #>     3.751, 3.02, 0.086, 0.772, 1.882, 2.725, 2.41, 0.352, 0.895,  #>     0.215, 0.141, 2.288, 1.658, 1.255, 1.306, 0.081, 0.667, 0.046,  #>     0.662, 1.985, 1.063, 1.55, 0.015, 0.056, NA, 0.51, 0.929,  #>     2.345, 0.25, 0.816, 0.022, 0.16, 0.547, 3.642, 0.092, 1.2,  #>     1.512, 2.124, NA, 0.862, 0.182, 1.075, 0.021, 0.402, 0.063,  #>     1.129, 0.61, NA, 0.717, 0.205, 0.946, 0.386, 0.37, 1.148,  #>     NA, 0.136, 0.439, 1.148), label = \"Marker Level (ng/mL)\"),  #>     stage = structure(c(1L, 2L, 1L, 3L, 4L, 4L, 1L, 1L, 1L, 3L,  #>     1L, 3L, 4L, 4L, 1L, 4L, 4L, 2L, 1L, 1L, 2L, 2L, 4L, 4L, 4L,  #>     2L, 4L, 1L, 4L, 3L, 1L, 2L, 3L, 3L, 3L, 3L, 1L, 1L, 4L, 4L,  #>     3L, 1L, 4L, 3L, 4L, 1L, 1L, 2L, 1L, 4L, 1L, 2L, 2L, 3L, 3L,  #>     2L, 4L, 1L, 4L, 2L, 4L, 1L, 4L, 1L, 4L, 1L, 1L, 1L, 4L, 1L,  #>     2L, 2L, 2L, 1L, 4L, 4L, 2L, 2L, 4L, 4L, 3L, 2L, 4L, 3L, 2L,  #>     4L, 1L, 2L, 1L, 4L, 3L, 3L, 1L, 3L, 2L, 3L, 2L, 2L, 3L, 4L,  #>     4L, 3L, 3L, 2L, 3L, 2L, 2L, 3L, 2L, 1L, 1L, 3L, 4L, 1L, 4L,  #>     3L, 3L, 2L, 4L, 2L, 1L, 2L, 1L, 4L, 3L, 3L, 3L, 2L, 1L, 2L,  #>     1L, 2L, 2L, 1L, 3L, 2L, 1L, 1L, 1L, 3L, 3L, 4L, 1L, 2L, 2L,  #>     1L, 3L, 4L, 2L, 4L, 2L, 1L, 2L, 3L, 1L, 3L, 4L, 2L, 2L, 1L,  #>     2L, 2L, 3L, 1L, 2L, 2L, 1L, 1L, 3L, 2L, 3L, 1L, 1L, 2L, 4L,  #>     2L, 4L, 4L, 2L, 3L, 4L, 3L, 4L, 4L, 1L, 1L, 4L, 4L, 4L, 1L,  #>     2L, 2L, 2L, 4L, 3L, 3L, 2L, 2L, 4L, 3L), levels = c(\"T1\",  #>     \"T2\", \"T3\", \"T4\"), class = \"factor\", label = \"T Stage\"),  #>     grade = structure(c(2L, 1L, 2L, 3L, 3L, 1L, 2L, 1L, 2L, 1L,  #>     3L, 1L, 3L, 1L, 1L, 3L, 3L, 2L, 3L, 2L, 1L, 2L, 1L, 1L, 2L,  #>     3L, 2L, 2L, 2L, 1L, 3L, 2L, 1L, 1L, 1L, 3L, 2L, 2L, 3L, 2L,  #>     2L, 3L, 3L, 1L, 3L, 1L, 3L, 2L, 2L, 2L, 3L, 3L, 3L, 2L, 3L,  #>     1L, 3L, 1L, 2L, 2L, 3L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 3L, 2L,  #>     1L, 3L, 3L, 3L, 2L, 3L, 3L, 1L, 2L, 1L, 1L, 1L, 1L, 3L, 1L,  #>     3L, 1L, 1L, 1L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 2L, 3L, 1L,  #>     3L, 1L, 2L, 2L, 1L, 2L, 2L, 3L, 1L, 3L, 3L, 1L, 1L, 1L, 2L,  #>     3L, 3L, 2L, 1L, 3L, 2L, 1L, 2L, 2L, 2L, 1L, 3L, 3L, 2L, 3L,  #>     1L, 1L, 1L, 2L, 2L, 3L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 3L, 2L,  #>     2L, 2L, 2L, 2L, 1L, 1L, 3L, 2L, 2L, 1L, 2L, 1L, 2L, 3L, 2L,  #>     1L, 1L, 1L, 3L, 1L, 1L, 2L, 1L, 1L, 3L, 3L, 1L, 3L, 2L, 1L,  #>     3L, 1L, 2L, 1L, 1L, 3L, 1L, 2L, 1L, 2L, 2L, 2L, 3L, 2L, 2L,  #>     3L, 2L, 3L, 3L, 2L, 1L, 2L, 3L, 3L, 1L), levels = c(\"I\",  #>     \"II\", \"III\"), class = \"factor\", label = \"Grade\"), response = structure(c(0L,  #>     1L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L,  #>     1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, 1L,  #>     0L, 0L, 1L, 0L, NA, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 1L, 1L, 1L,  #>     1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 1L, 0L,  #>     0L, 0L, 0L, NA, 0L, 1L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 0L,  #>     0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 0L, 0L,  #>     0L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, NA, 0L, 0L, 1L,  #>     0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 1L,  #>     0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 0L,  #>     1L, 1L, NA, 1L, 1L, 1L, 0L, 1L, 0L, 0L, 1L, 0L, NA, 1L, 0L,  #>     0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, 1L, 0L, 0L,  #>     0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 1L, 1L, 0L, 1L, NA, 0L, 1L,  #>     0L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, NA, 0L,  #>     1L, 1L, 0L, 0L), label = \"Tumor Response\"), death = structure(c(0L,  #>     0L, 0L, 1L, 1L, 1L, 0L, 1L, 0L, 1L, 0L, 0L, 1L, 1L, 1L, 1L,  #>     0L, 1L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 0L,  #>     1L, 0L, 0L, 0L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 0L,  #>     0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,  #>     0L, 1L, 0L, 0L, 1L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 1L,  #>     1L, 1L, 1L, 0L, 1L, 0L, 0L, 0L, 1L, 1L, 0L, 1L, 1L, 1L, 1L,  #>     1L, 1L, 0L, 0L, 1L, 1L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 1L, 1L,  #>     1L, 1L, 0L, 1L, 1L, 0L, 1L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 0L,  #>     0L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 0L, 1L,  #>     0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 1L, 0L,  #>     0L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 1L,  #>     1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 1L, 1L, 1L,  #>     0L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 1L, 0L, 1L, 1L, 0L,  #>     1L, 0L, 1L, 0L), label = \"Patient Died\"), ttdeath = structure(c(24,  #>     24, 24, 17.64, 16.43, 15.64, 24, 18.43, 24, 10.53, 24, 24,  #>     14.34, 12.89, 22.68, 8.71, 24, 15.21, 24, 24, 24, 24, 16.92,  #>     23.89, 6.32, 15.77, 24, 24, 15.45, 17.43, 24, 20.9, 24, 24,  #>     24, 21.19, 12.52, 24, 15.59, 18, 18.02, 12.43, 12.1, 24,  #>     17.42, 24, 24, 24, 12.19, 10.02, 18.23, 10.42, 24, 24, 19.34,  #>     12.21, 14.46, 19.34, 10.16, 13.15, 10.12, 24, 22.77, 24,  #>     24, 22.13, 24, 20.62, 23.23, 7.38, 24, 24, 24, 24, 24, 19.22,  #>     7.27, 23.88, 16.23, 24, 14.06, 24, 24, 24, 16.44, 23.81,  #>     24, 18.37, 11.44, 20.94, 5.33, 22.92, 10.33, 24, 24, 14.54,  #>     19.14, 24, 21.19, 16.07, 9.97, 24, 24, 24, 19.75, 16.67,  #>     11.18, 18.29, 24, 17.56, 17.45, 24, 22.86, 13.68, 24, 24,  #>     17.46, 24, 24, 24, 24, 24, 13, 9.73, 15.65, 24, 3.53, 20.35,  #>     23.41, 16.47, 24, 24, 14.65, 17.81, 24, 21.83, 24, 24, 21.49,  #>     12.68, 24, 24, 24, 24, 10.07, 24, 24, 24, 8.37, 20.33, 24,  #>     24, 21.33, 12.63, 13.08, 24, 15.1, 20.14, 10.55, 24, 24,  #>     24, 24, 23.6, 24, 19.98, 15.55, 23.72, 22.41, 19.54, 16.57,  #>     24, 24, 24, 21.91, 24, 12.53, 24, 18.63, 14.82, 16.46, 24,  #>     9.24, 17.77, 24, 24, 9.92, 16.16, 10.51, 20.81, 24, 16.44,  #>     24, 22.4, 11.76, 24, 21.6, 24, 19.81, 24), label = \"Months to Death/Censor\")), class = c(\"tbl_df\",  #> \"tbl\", \"data.frame\"), row.names = c(NA, -200L))) #>  #> Coefficients: #> (Intercept)    trtDrug B       marker      stageT2      stageT3      stageT4   #>     45.9247      -0.4052      -0.1435       2.0519       2.4437      -3.1573   #>     gradeII     gradeIII     response        death      ttdeath   #>      0.1750       1.6855       4.9885       3.0775      -0.1394   #>  gtsummary::trial |> regression_model(   outcome.str = \"trt\",   auto.mode = FALSE,   fun = \"stats::glm\",   args.list = list(family = binomial(link = \"logit\")) ) #>  #> Call:  (function (formula, family = gaussian, data, weights, subset,  #>     na.action, start = NULL, etastart, mustart, offset, control = list(...),  #>     model = TRUE, method = \"glm.fit\", x = FALSE, y = TRUE, singular.ok = TRUE,  #>     contrasts = NULL, ...)  #> { #>     cal <- match.call() #>     if (is.character(family))  #>         family <- get(family, mode = \"function\", envir = parent.frame()) #>     if (is.function(family))  #>         family <- family() #>     if (is.null(family$family)) { #>         print(family) #>         stop(\"'family' not recognized\") #>     } #>     if (missing(data))  #>         data <- environment(formula) #>     mf <- match.call(expand.dots = FALSE) #>     m <- match(c(\"formula\", \"data\", \"subset\", \"weights\", \"na.action\",  #>         \"etastart\", \"mustart\", \"offset\"), names(mf), 0L) #>     mf <- mf[c(1L, m)] #>     mf$drop.unused.levels <- TRUE #>     mf[[1L]] <- quote(stats::model.frame) #>     mf <- eval(mf, parent.frame()) #>     if (identical(method, \"model.frame\"))  #>         return(mf) #>     if (!is.character(method) && !is.function(method))  #>         stop(\"invalid 'method' argument\") #>     if (identical(method, \"glm.fit\"))  #>         control <- do.call(\"glm.control\", control) #>     mt <- attr(mf, \"terms\") #>     Y <- model.response(mf, \"any\") #>     if (length(dim(Y)) == 1L) { #>         nm <- rownames(Y) #>         dim(Y) <- NULL #>         if (!is.null(nm))  #>             names(Y) <- nm #>     } #>     X <- if (!is.empty.model(mt))  #>         model.matrix(mt, mf, contrasts) #>     else matrix(, NROW(Y), 0L) #>     weights <- as.vector(model.weights(mf)) #>     if (!is.null(weights) && !is.numeric(weights))  #>         stop(\"'weights' must be a numeric vector\") #>     if (!is.null(weights) && any(weights < 0))  #>         stop(\"negative weights not allowed\") #>     offset <- as.vector(model.offset(mf)) #>     if (!is.null(offset)) { #>         if (length(offset) != NROW(Y))  #>             stop(gettextf(\"number of offsets is %d should equal %d (number of observations)\",  #>                 length(offset), NROW(Y)), domain = NA) #>     } #>     mustart <- model.extract(mf, \"mustart\") #>     etastart <- model.extract(mf, \"etastart\") #>     fit <- eval(call(if (is.function(method)) \"method\" else method,  #>         x = X, y = Y, weights = weights, start = start, etastart = etastart,  #>         mustart = mustart, offset = offset, family = family,  #>         control = control, intercept = attr(mt, \"intercept\") >  #>             0L, singular.ok = singular.ok)) #>     if (length(offset) && attr(mt, \"intercept\") > 0L) { #>         fit2 <- eval(call(if (is.function(method)) \"method\" else method,  #>             x = X[, \"(Intercept)\", drop = FALSE], y = Y, mustart = fit$fitted.values,  #>             weights = weights, offset = offset, family = family,  #>             control = control, intercept = TRUE)) #>         if (!fit2$converged)  #>             warning(\"fitting to calculate the null deviance did not converge -- increase 'maxit'?\") #>         fit$null.deviance <- fit2$deviance #>     } #>     if (model)  #>         fit$model <- mf #>     fit$na.action <- attr(mf, \"na.action\") #>     if (x)  #>         fit$x <- X #>     if (!y)  #>         fit$y <- NULL #>     structure(c(fit, list(call = cal, formula = formula, terms = mt,  #>         data = data, offset = offset, control = control, method = method,  #>         contrasts = attr(X, \"contrasts\"), xlevels = .getXlevels(mt,  #>             mf))), class = c(fit$class, c(\"glm\", \"lm\"))) #> })(formula = trt ~ age + marker + stage + grade + response +  #>     death + ttdeath, family = structure(list(family = \"binomial\",  #>     link = \"logit\", linkfun = function (mu)  #>     .Call(C_logit_link, mu), linkinv = function (eta)  #>     .Call(C_logit_linkinv, eta), variance = function (mu)  #>     mu * (1 - mu), dev.resids = function (y, mu, wt)  #>     .Call(C_binomial_dev_resids, y, mu, wt), aic = function (y,  #>         n, mu, wt, dev)  #>     { #>         m <- if (any(n > 1))  #>             n #>         else wt #>         -2 * sum(ifelse(m > 0, (wt/m), 0) * dbinom(round(m *  #>             y), round(m), mu, log = TRUE)) #>     }, mu.eta = function (eta)  #>     .Call(C_logit_mu_eta, eta), initialize = { #>         if (NCOL(y) == 1) { #>             if (is.factor(y))  #>                 y <- y != levels(y)[1L] #>             n <- rep.int(1, nobs) #>             y[weights == 0] <- 0 #>             if (any(y < 0 | y > 1))  #>                 stop(\"y values must be 0 <= y <= 1\") #>             mustart <- (weights * y + 0.5)/(weights + 1) #>             m <- weights * y #>             if (\"binomial\" == \"binomial\" && any(abs(m - round(m)) >  #>                 0.001))  #>                 warning(gettextf(\"non-integer #successes in a %s glm!\",  #>                   \"binomial\"), domain = NA) #>         } #>         else if (NCOL(y) == 2) { #>             if (\"binomial\" == \"binomial\" && any(abs(y - round(y)) >  #>                 0.001))  #>                 warning(gettextf(\"non-integer counts in a %s glm!\",  #>                   \"binomial\"), domain = NA) #>             n <- (y1 <- y[, 1L]) + y[, 2L] #>             y <- y1/n #>             if (any(n0 <- n == 0))  #>                 y[n0] <- 0 #>             weights <- weights * n #>             mustart <- (n * y + 0.5)/(n + 1) #>         } #>         else stop(gettextf(\"for the '%s' family, y must be a vector of 0 and 1's\\nor a 2 column matrix where col 1 is no. successes and col 2 is no. failures\",  #>             \"binomial\"), domain = NA) #>     }, validmu = function (mu)  #>     all(is.finite(mu)) && all(mu > 0 & mu < 1), valideta = function (eta)  #>     TRUE, simulate = function (object, nsim)  #>     { #>         ftd <- fitted(object) #>         n <- length(ftd) #>         ntot <- n * nsim #>         wts <- object$prior.weights #>         if (any(wts%%1 != 0))  #>             stop(\"cannot simulate from non-integer prior.weights\") #>         if (!is.null(m <- object$model)) { #>             y <- model.response(m) #>             if (is.factor(y)) { #>                 yy <- factor(1 + rbinom(ntot, size = 1, prob = ftd),  #>                   labels = levels(y)) #>                 split(yy, rep(seq_len(nsim), each = n)) #>             } #>             else if (is.matrix(y) && ncol(y) == 2) { #>                 yy <- vector(\"list\", nsim) #>                 for (i in seq_len(nsim)) { #>                   Y <- rbinom(n, size = wts, prob = ftd) #>                   YY <- cbind(Y, wts - Y) #>                   colnames(YY) <- colnames(y) #>                   yy[[i]] <- YY #>                 } #>                 yy #>             } #>             else rbinom(ntot, size = wts, prob = ftd)/wts #>         } #>         else rbinom(ntot, size = wts, prob = ftd)/wts #>     }, dispersion = 1), class = \"family\"), data = structure(list( #>     trt = structure(c(1L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 2L,  #>     2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L,  #>     2L, 1L, 2L, 2L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 2L, 2L,  #>     2L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,  #>     2L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 1L,  #>     1L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 1L,  #>     1L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 1L,  #>     2L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 2L,  #>     1L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 1L, 2L,  #>     2L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 1L, 2L, 2L,  #>     1L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 2L,  #>     2L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 2L,  #>     2L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L,  #>     1L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 1L), levels = c(\"Drug A\",  #>     \"Drug B\"), class = \"factor\", label = \"Chemotherapy Treatment\"),  #>     age = structure(c(23, 9, 31, NA, 51, 39, 37, 32, 31, 34,  #>     42, 63, 54, 21, 48, 71, 38, 49, 57, 46, 47, 52, 61, 38, 34,  #>     49, 63, 67, 68, 78, 36, 37, 53, 36, 51, 48, 57, 31, 37, 28,  #>     40, 49, 61, 56, 54, 71, 38, 31, 48, NA, 83, 52, 32, 53, 69,  #>     60, 45, 39, NA, 38, 36, 71, 31, 43, 57, 53, 25, 44, 25, 30,  #>     51, 40, NA, 43, 21, 54, 67, 43, 54, 41, 34, 34, 6, 39, 36,  #>     58, 27, 47, NA, 50, 61, 47, 52, 51, 68, 33, 65, 34, 38, 60,  #>     10, 49, 56, 50, 60, 49, 54, 39, 48, 65, 47, 61, 34, NA, NA,  #>     58, 26, 44, 17, 68, 57, 66, 44, NA, 67, 48, 62, 35, 53, 53,  #>     66, 55, 57, 47, 58, 43, 45, 44, 63, 59, 44, 53, 51, 28, 65,  #>     63, 76, 61, 33, 48, 42, 36, 55, 20, 26, 50, 47, 74, 50, 31,  #>     45, 51, 66, 76, 47, 48, 56, 70, 46, 43, 41, 41, 19, 49, 43,  #>     43, 75, 52, 42, 37, 45, 35, 67, 38, 44, 45, 39, 46, NA, 42,  #>     60, 31, 45, 38, NA, 19, 69, 66, NA, 64), label = \"Age\"),  #>     marker = structure(c(0.16, 1.107, 0.277, 2.067, 2.767, 0.613,  #>     0.354, 1.739, 0.144, 0.205, 0.513, 0.06, 0.831, 0.258, 0.128,  #>     0.445, 2.083, 0.157, 0.066, 0.325, 0.266, 0.719, 1.713, 0.096,  #>     0.105, 0.043, 0.981, 1.156, 0.105, 0.175, 0.309, 1.869, 2.008,  #>     1.894, 0.16, 1.209, 0.108, 0.611, 0.222, 0.803, 0.37, NA,  #>     0.177, 1.479, 0.161, 0.737, 0.124, 0.092, 0.385, 0.21, 0.475,  #>     1.628, 0.583, NA, 0.702, 1.206, 2.213, 1.406, 0.101, 0.013,  #>     2.032, 1.046, 0.408, 2.636, 1.263, NA, 2.447, 1.041, 0.531,  #>     0.924, 1.087, 0.733, 2.157, 0.333, 1.527, 2.238, 0.153, 0.305,  #>     0.131, 0.386, 1.645, 1.321, 0.229, 0.615, 1.976, 1.941, 0.22,  #>     3.874, 0.982, 1.68, 1.091, 0.169, 0.511, 2.141, 0.599, NA,  #>     0.389, 0.005, 0.075, 1.491, 0.358, 1.709, 0.056, 1.354, 2.522,  #>     0.387, 0.592, 0.243, 0.215, 1.207, 0.29, 0.718, 0.589, 0.003,  #>     1.328, 0.308, 0.691, 3.249, 0.039, 1.804, 0.238, 2.702, 1.441,  #>     0.27, NA, NA, 0.062, 2.19, 0.976, 3.062, 0.124, 0.045, 1.892,  #>     0.711, 1.079, 1.061, 0.239, 0.361, 0.033, 1.133, 1.225, 1.418,  #>     3.751, 3.02, 0.086, 0.772, 1.882, 2.725, 2.41, 0.352, 0.895,  #>     0.215, 0.141, 2.288, 1.658, 1.255, 1.306, 0.081, 0.667, 0.046,  #>     0.662, 1.985, 1.063, 1.55, 0.015, 0.056, NA, 0.51, 0.929,  #>     2.345, 0.25, 0.816, 0.022, 0.16, 0.547, 3.642, 0.092, 1.2,  #>     1.512, 2.124, NA, 0.862, 0.182, 1.075, 0.021, 0.402, 0.063,  #>     1.129, 0.61, NA, 0.717, 0.205, 0.946, 0.386, 0.37, 1.148,  #>     NA, 0.136, 0.439, 1.148), label = \"Marker Level (ng/mL)\"),  #>     stage = structure(c(1L, 2L, 1L, 3L, 4L, 4L, 1L, 1L, 1L, 3L,  #>     1L, 3L, 4L, 4L, 1L, 4L, 4L, 2L, 1L, 1L, 2L, 2L, 4L, 4L, 4L,  #>     2L, 4L, 1L, 4L, 3L, 1L, 2L, 3L, 3L, 3L, 3L, 1L, 1L, 4L, 4L,  #>     3L, 1L, 4L, 3L, 4L, 1L, 1L, 2L, 1L, 4L, 1L, 2L, 2L, 3L, 3L,  #>     2L, 4L, 1L, 4L, 2L, 4L, 1L, 4L, 1L, 4L, 1L, 1L, 1L, 4L, 1L,  #>     2L, 2L, 2L, 1L, 4L, 4L, 2L, 2L, 4L, 4L, 3L, 2L, 4L, 3L, 2L,  #>     4L, 1L, 2L, 1L, 4L, 3L, 3L, 1L, 3L, 2L, 3L, 2L, 2L, 3L, 4L,  #>     4L, 3L, 3L, 2L, 3L, 2L, 2L, 3L, 2L, 1L, 1L, 3L, 4L, 1L, 4L,  #>     3L, 3L, 2L, 4L, 2L, 1L, 2L, 1L, 4L, 3L, 3L, 3L, 2L, 1L, 2L,  #>     1L, 2L, 2L, 1L, 3L, 2L, 1L, 1L, 1L, 3L, 3L, 4L, 1L, 2L, 2L,  #>     1L, 3L, 4L, 2L, 4L, 2L, 1L, 2L, 3L, 1L, 3L, 4L, 2L, 2L, 1L,  #>     2L, 2L, 3L, 1L, 2L, 2L, 1L, 1L, 3L, 2L, 3L, 1L, 1L, 2L, 4L,  #>     2L, 4L, 4L, 2L, 3L, 4L, 3L, 4L, 4L, 1L, 1L, 4L, 4L, 4L, 1L,  #>     2L, 2L, 2L, 4L, 3L, 3L, 2L, 2L, 4L, 3L), levels = c(\"T1\",  #>     \"T2\", \"T3\", \"T4\"), class = \"factor\", label = \"T Stage\"),  #>     grade = structure(c(2L, 1L, 2L, 3L, 3L, 1L, 2L, 1L, 2L, 1L,  #>     3L, 1L, 3L, 1L, 1L, 3L, 3L, 2L, 3L, 2L, 1L, 2L, 1L, 1L, 2L,  #>     3L, 2L, 2L, 2L, 1L, 3L, 2L, 1L, 1L, 1L, 3L, 2L, 2L, 3L, 2L,  #>     2L, 3L, 3L, 1L, 3L, 1L, 3L, 2L, 2L, 2L, 3L, 3L, 3L, 2L, 3L,  #>     1L, 3L, 1L, 2L, 2L, 3L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 3L, 2L,  #>     1L, 3L, 3L, 3L, 2L, 3L, 3L, 1L, 2L, 1L, 1L, 1L, 1L, 3L, 1L,  #>     3L, 1L, 1L, 1L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 2L, 3L, 1L,  #>     3L, 1L, 2L, 2L, 1L, 2L, 2L, 3L, 1L, 3L, 3L, 1L, 1L, 1L, 2L,  #>     3L, 3L, 2L, 1L, 3L, 2L, 1L, 2L, 2L, 2L, 1L, 3L, 3L, 2L, 3L,  #>     1L, 1L, 1L, 2L, 2L, 3L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 3L, 2L,  #>     2L, 2L, 2L, 2L, 1L, 1L, 3L, 2L, 2L, 1L, 2L, 1L, 2L, 3L, 2L,  #>     1L, 1L, 1L, 3L, 1L, 1L, 2L, 1L, 1L, 3L, 3L, 1L, 3L, 2L, 1L,  #>     3L, 1L, 2L, 1L, 1L, 3L, 1L, 2L, 1L, 2L, 2L, 2L, 3L, 2L, 2L,  #>     3L, 2L, 3L, 3L, 2L, 1L, 2L, 3L, 3L, 1L), levels = c(\"I\",  #>     \"II\", \"III\"), class = \"factor\", label = \"Grade\"), response = structure(c(0L,  #>     1L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L,  #>     1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, 1L,  #>     0L, 0L, 1L, 0L, NA, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 1L, 1L, 1L,  #>     1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 1L, 0L,  #>     0L, 0L, 0L, NA, 0L, 1L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 0L,  #>     0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 0L, 0L,  #>     0L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, NA, 0L, 0L, 1L,  #>     0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 1L,  #>     0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 0L,  #>     1L, 1L, NA, 1L, 1L, 1L, 0L, 1L, 0L, 0L, 1L, 0L, NA, 1L, 0L,  #>     0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, 1L, 0L, 0L,  #>     0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 1L, 1L, 0L, 1L, NA, 0L, 1L,  #>     0L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, NA, 0L,  #>     1L, 1L, 0L, 0L), label = \"Tumor Response\"), death = structure(c(0L,  #>     0L, 0L, 1L, 1L, 1L, 0L, 1L, 0L, 1L, 0L, 0L, 1L, 1L, 1L, 1L,  #>     0L, 1L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 0L,  #>     1L, 0L, 0L, 0L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 0L,  #>     0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,  #>     0L, 1L, 0L, 0L, 1L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 1L,  #>     1L, 1L, 1L, 0L, 1L, 0L, 0L, 0L, 1L, 1L, 0L, 1L, 1L, 1L, 1L,  #>     1L, 1L, 0L, 0L, 1L, 1L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 1L, 1L,  #>     1L, 1L, 0L, 1L, 1L, 0L, 1L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 0L,  #>     0L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 0L, 1L,  #>     0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 1L, 0L,  #>     0L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 1L,  #>     1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 1L, 1L, 1L,  #>     0L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 1L, 0L, 1L, 1L, 0L,  #>     1L, 0L, 1L, 0L), label = \"Patient Died\"), ttdeath = structure(c(24,  #>     24, 24, 17.64, 16.43, 15.64, 24, 18.43, 24, 10.53, 24, 24,  #>     14.34, 12.89, 22.68, 8.71, 24, 15.21, 24, 24, 24, 24, 16.92,  #>     23.89, 6.32, 15.77, 24, 24, 15.45, 17.43, 24, 20.9, 24, 24,  #>     24, 21.19, 12.52, 24, 15.59, 18, 18.02, 12.43, 12.1, 24,  #>     17.42, 24, 24, 24, 12.19, 10.02, 18.23, 10.42, 24, 24, 19.34,  #>     12.21, 14.46, 19.34, 10.16, 13.15, 10.12, 24, 22.77, 24,  #>     24, 22.13, 24, 20.62, 23.23, 7.38, 24, 24, 24, 24, 24, 19.22,  #>     7.27, 23.88, 16.23, 24, 14.06, 24, 24, 24, 16.44, 23.81,  #>     24, 18.37, 11.44, 20.94, 5.33, 22.92, 10.33, 24, 24, 14.54,  #>     19.14, 24, 21.19, 16.07, 9.97, 24, 24, 24, 19.75, 16.67,  #>     11.18, 18.29, 24, 17.56, 17.45, 24, 22.86, 13.68, 24, 24,  #>     17.46, 24, 24, 24, 24, 24, 13, 9.73, 15.65, 24, 3.53, 20.35,  #>     23.41, 16.47, 24, 24, 14.65, 17.81, 24, 21.83, 24, 24, 21.49,  #>     12.68, 24, 24, 24, 24, 10.07, 24, 24, 24, 8.37, 20.33, 24,  #>     24, 21.33, 12.63, 13.08, 24, 15.1, 20.14, 10.55, 24, 24,  #>     24, 24, 23.6, 24, 19.98, 15.55, 23.72, 22.41, 19.54, 16.57,  #>     24, 24, 24, 21.91, 24, 12.53, 24, 18.63, 14.82, 16.46, 24,  #>     9.24, 17.77, 24, 24, 9.92, 16.16, 10.51, 20.81, 24, 16.44,  #>     24, 22.4, 11.76, 24, 21.6, 24, 19.81, 24), label = \"Months to Death/Censor\")), class = c(\"tbl_df\",  #> \"tbl\", \"data.frame\"), row.names = c(NA, -200L))) #>  #> Coefficients: #> (Intercept)          age       marker      stageT2      stageT3      stageT4   #>    1.652845    -0.002014    -0.259849     0.404341     0.117402    -0.002102   #>     gradeII     gradeIII     response        death      ttdeath   #>   -0.037012     0.022890     0.498952    -0.003916    -0.076073   #>  #> Degrees of Freedom: 172 Total (i.e. Null);  162 Residual #>   (27 observations deleted due to missingness) #> Null Deviance:\t    239.5  #> Residual Deviance: 230.9 \tAIC: 252.9"},{"path":"https://agdamsbo.github.io/freesearcheR/reference/regression_model_uv.html","id":null,"dir":"Reference","previous_headings":"","what":"Create a regression model programatically — regression_model_uv","title":"Create a regression model programatically — regression_model_uv","text":"Create regression model programatically","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/regression_model_uv.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Create a regression model programatically — regression_model_uv","text":"","code":"regression_model_uv(   data,   outcome.str,   args.list = NULL,   fun = NULL,   vars = NULL,   ... )"},{"path":"https://agdamsbo.github.io/freesearcheR/reference/regression_model_uv.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Create a regression model programatically — regression_model_uv","text":"data data set outcome.str Name outcome variable. Character vector. args.list List arguments passed 'fun' '.call'. fun Name function character vector function use model creation. vars character vector variables include ... ignored now","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/regression_model_uv.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Create a regression model programatically — regression_model_uv","text":"object standard class fun","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/regression_model_uv.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Create a regression model programatically — regression_model_uv","text":"","code":"if (FALSE) { # \\dontrun{ gtsummary::trial |>   regression_model_uv(outcome.str = \"age\") gtsummary::trial |>   regression_model_uv(     outcome.str = \"age\",     fun = \"stats::lm\",     args.list = NULL   ) gtsummary::trial |> regression_model_uv(   outcome.str = \"trt\",   fun = \"stats::glm\",   args.list = list(family = stats::binomial(link = \"logit\")) ) } # }"},{"path":"https://agdamsbo.github.io/freesearcheR/reference/regression_table.html","id":null,"dir":"Reference","previous_headings":"","what":"Create table of regression model — regression_table","title":"Create table of regression model — regression_table","text":"Create table regression model","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/regression_table.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Create table of regression model — regression_table","text":"","code":"regression_table(x, ...)"},{"path":"https://agdamsbo.github.io/freesearcheR/reference/regression_table.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Create table of regression model — regression_table","text":"x regression model ... passed methods args.list list arguments passed 'fun'. fun function use table creation. Default \"gtsummary::tbl_regression\".","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/regression_table.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Create table of regression model — regression_table","text":"object standard class fun","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/regression_table.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Create table of regression model — regression_table","text":"","code":"if (FALSE) { # \\dontrun{ gtsummary::trial |>   regression_model(     outcome.str = \"stage\",     fun = \"MASS::polr\"   ) |>   regression_table(args.list = list(\"exponentiate\" = TRUE)) gtsummary::trial |>   regression_model(     outcome.str = \"age\",     fun = \"stats::lm\",     formula.str = \"{outcome.str}~.\",     args.list = NULL   ) |>   regression_table() gtsummary::trial |>   regression_model(     outcome.str = \"trt\",     fun = \"stats::glm\",     args.list = list(family = binomial(link = \"logit\"))   ) |>   regression_table() gtsummary::trial |>   regression_model_uv(     outcome.str = \"trt\",     fun = \"stats::glm\",     args.list = list(family = stats::binomial(link = \"logit\"))   ) |>   regression_table() gtsummary::trial |>   regression_model_uv(     outcome.str = \"stage\",     args.list = list(family = stats::binomial(link = \"logit\"))   ) |>   regression_table()  list(   \"Univariable\" = regression_model_uv,   \"Multivariable\" = regression_model ) |>   lapply(\\(.fun){     do.call(       .fun,       c(         list(data = gtsummary::trial),         list(outcome.str = \"stage\")       )     )   }) |>   purrr::map(regression_table) |>   tbl_merge()   } # } regression_table <- function(x, ...) {   UseMethod(\"regression_table\") }  #' @rdname regression_table #' @export regression_table.list <- function(x, ...) {   x |>     purrr::map(\\(.m){       regression_table(x = .m, ...) |>         gtsummary::add_n()     }) |>     gtsummary::tbl_stack() }  #' @rdname regression_table #' @export regression_table.default <- function(x, ..., args.list = NULL, fun = \"gtsummary::tbl_regression\") {   # Stripping custom class   class(x) <- class(x)[class(x) != \"freesearcher_model\"]    if (any(c(length(class(x)) != 1, class(x) != \"lm\"))) {     if (!\"exponentiate\" %in% names(args.list)) {       args.list <- c(args.list, list(exponentiate = TRUE))     }   }    out <- do.call(getfun(fun), c(list(x = x), args.list))   out |>     gtsummary::add_glance_source_note() # |>   # gtsummary::bold_p() }"},{"path":"https://agdamsbo.github.io/freesearcheR/reference/remove_na_attr.html","id":null,"dir":"Reference","previous_headings":"","what":"Remove NA labels — remove_na_attr","title":"Remove NA labels — remove_na_attr","text":"Remove NA labels","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/remove_na_attr.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Remove NA labels — remove_na_attr","text":"","code":"remove_na_attr(data, attr = \"label\")"},{"path":"https://agdamsbo.github.io/freesearcheR/reference/remove_na_attr.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Remove NA labels — remove_na_attr","text":"data data","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/remove_na_attr.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Remove NA labels — remove_na_attr","text":"data.frame","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/remove_na_attr.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Remove NA labels — remove_na_attr","text":"","code":"ds <- mtcars |> lapply(\\(.x) REDCapCAST::set_attr(.x,label=NA,attr = \"label\")) ds |> remove_na_attr() |> str() #> tibble [32 × 11] (S3: tbl_df/tbl/data.frame) #>  $ mpg : num [1:32] 21 21 22.8 21.4 18.7 18.1 14.3 24.4 22.8 19.2 ... #>  $ cyl : num [1:32] 6 6 4 6 8 6 8 4 4 6 ... #>  $ disp: num [1:32] 160 160 108 258 360 ... #>  $ hp  : num [1:32] 110 110 93 110 175 105 245 62 95 123 ... #>  $ drat: num [1:32] 3.9 3.9 3.85 3.08 3.15 2.76 3.21 3.69 3.92 3.92 ... #>  $ wt  : num [1:32] 2.62 2.88 2.32 3.21 3.44 ... #>  $ qsec: num [1:32] 16.5 17 18.6 19.4 17 ... #>  $ vs  : num [1:32] 0 0 1 1 0 1 0 1 1 1 ... #>  $ am  : num [1:32] 1 1 1 0 0 0 0 0 0 0 ... #>  $ gear: num [1:32] 4 4 4 3 3 3 3 4 4 4 ... #>  $ carb: num [1:32] 4 4 1 1 2 1 4 2 2 4 ..."},{"path":"https://agdamsbo.github.io/freesearcheR/reference/shiny_freesearcheR.html","id":null,"dir":"Reference","previous_headings":"","what":"Launch the freesearcheR tool locally — shiny_freesearcheR","title":"Launch the freesearcheR tool locally — shiny_freesearcheR","text":"data.frames global environment accessible app.","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/shiny_freesearcheR.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Launch the freesearcheR tool locally — shiny_freesearcheR","text":"","code":"shiny_freesearcheR(...)"},{"path":"https://agdamsbo.github.io/freesearcheR/reference/shiny_freesearcheR.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Launch the freesearcheR tool locally — shiny_freesearcheR","text":"... arguments passed shiny::runApp()","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/shiny_freesearcheR.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Launch the freesearcheR tool locally — shiny_freesearcheR","text":"shiny app","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/shiny_freesearcheR.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Launch the freesearcheR tool locally — shiny_freesearcheR","text":"","code":"if (FALSE) { # \\dontrun{ data(mtcars) shiny_freesearcheR(launch.browser = TRUE) } # }"},{"path":"https://agdamsbo.github.io/freesearcheR/reference/specify_qmd_format.html","id":null,"dir":"Reference","previous_headings":"","what":"Specify format arguments to include in qmd header/frontmatter — specify_qmd_format","title":"Specify format arguments to include in qmd header/frontmatter — specify_qmd_format","text":"Specify format arguments include qmd header/frontmatter","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/specify_qmd_format.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Specify format arguments to include in qmd header/frontmatter — specify_qmd_format","text":"","code":"specify_qmd_format(data, fileformat = c(\"docx\", \"odt\", \"pdf\", \"all\"))"},{"path":"https://agdamsbo.github.io/freesearcheR/reference/specify_qmd_format.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Specify format arguments to include in qmd header/frontmatter — specify_qmd_format","text":"data vector fileformat format include","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/specify_qmd_format.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Specify format arguments to include in qmd header/frontmatter — specify_qmd_format","text":"vector","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/tbl_merge.html","id":null,"dir":"Reference","previous_headings":"","what":"A substitue to gtsummary::tbl_merge, that will use list names for the tab spanner names. — tbl_merge","title":"A substitue to gtsummary::tbl_merge, that will use list names for the tab spanner names. — tbl_merge","text":"substitue gtsummary::tbl_merge, use list names tab spanner names.","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/tbl_merge.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"A substitue to gtsummary::tbl_merge, that will use list names for the tab spanner names. — tbl_merge","text":"","code":"tbl_merge(data)"},{"path":"https://agdamsbo.github.io/freesearcheR/reference/tbl_merge.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"A substitue to gtsummary::tbl_merge, that will use list names for the tab spanner names. — tbl_merge","text":"data gtsummary list object","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/tbl_merge.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"A substitue to gtsummary::tbl_merge, that will use list names for the tab spanner names. — tbl_merge","text":"gt summary list object","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/update-variables.html","id":null,"dir":"Reference","previous_headings":"","what":"Select, rename and convert variables — update-variables","title":"Select, rename and convert variables — update-variables","text":"Select, rename convert variables","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/update-variables.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Select, rename and convert variables — update-variables","text":"","code":"update_variables_ui(id, title = TRUE)  update_variables_server(   id,   data,   height = NULL,   return_data_on_init = FALSE,   try_silent = FALSE )"},{"path":"https://agdamsbo.github.io/freesearcheR/reference/update-variables.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Select, rename and convert variables — update-variables","text":"id Module's ID title Module's title, TRUE use default title, use NULL title shiny.tag custom one. data data.frame reactive function returning data.frame. height Height table. return_data_on_init Return initial data module called. try_silent logical: report error messages suppressed?","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/update-variables.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Select, rename and convert variables — update-variables","text":"shiny::reactive() function returning updated data.","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/update_variables_datagrid.html","id":null,"dir":"Reference","previous_headings":"","what":"Modified from the datamods pacakge — update_variables_datagrid","title":"Modified from the datamods pacakge — update_variables_datagrid","text":"Modified datamods pacakge","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/update_variables_datagrid.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Modified from the datamods pacakge — update_variables_datagrid","text":"","code":"update_variables_datagrid(   data,   height = NULL,   selectionId = NULL,   buttonId = NULL )"},{"path":"https://agdamsbo.github.io/freesearcheR/reference/update_variables_datagrid.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Modified from the datamods pacakge — update_variables_datagrid","text":"data data height height selectionId selectionId buttonId buttonId","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/update_variables_datagrid.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Modified from the datamods pacakge — update_variables_datagrid","text":"","code":"mtcars |>   summary_vars() |>   update_variables_datagrid() #> Error in update_variables_datagrid(summary_vars(mtcars)): could not find function \"update_variables_datagrid\""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/write_quarto.html","id":null,"dir":"Reference","previous_headings":"","what":"Wrapper to save data in RDS, load into specified qmd and render — write_quarto","title":"Wrapper to save data in RDS, load into specified qmd and render — write_quarto","text":"Wrapper save data RDS, load specified qmd render","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/write_quarto.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Wrapper to save data in RDS, load into specified qmd and render — write_quarto","text":"","code":"write_quarto(data, ...)"},{"path":"https://agdamsbo.github.io/freesearcheR/reference/write_quarto.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Wrapper to save data in RDS, load into specified qmd and render — write_quarto","text":"data list pass qmd ... Passed quarto::quarto_render()","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/reference/write_quarto.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Wrapper to save data in RDS, load into specified qmd and render — write_quarto","text":"output file name","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/news/index.html","id":"freesearcher-2521","dir":"Changelog","previous_headings":"","what":"freesearcheR 25.2.1","title":"freesearcheR 25.2.1","text":"First steps towards focused simplified interface. Focus ease use, handling basic functionality data inspection descriptive analyses.","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/news/index.html","id":"freesearcher-2511","dir":"Changelog","previous_headings":"","what":"freesearcheR 25.1.1","title":"freesearcheR 25.1.1","text":"UI tweaks. NEW: Option set class hms using hms package. NEW: summary grid sparklines. Speed improvements better regression analysis handling. Preparations extending analysis options study designs.","code":""},{"path":"https://agdamsbo.github.io/freesearcheR/news/index.html","id":"freesearcher-24121","dir":"Changelog","previous_headings":"","what":"freesearcheR 24.12.1","title":"freesearcheR 24.12.1","text":"Initial release Zenodo.","code":""}]