CITATION.cff

@@ -8,7 +8,7 @@ message: 'To cite package "FreesearchR" in publications use:'
 type: software
 license: AGPL-3.0-or-later
 title: 'FreesearchR: Easy data analysis for clinicians'
-version: 26.4.2
+version: 26.4.1
 doi: 10.5281/zenodo.14527429
 identifiers:
 - type: url

DESCRIPTION

@@ -1,6 +1,6 @@
 Package: FreesearchR
 Title: Easy data analysis for clinicians
-Version: 26.4.2
+Version: 26.4.1
 Authors@R: c(
     person("Andreas Gammelgaard", "Damsbo",email="agdamsbo@clin.au.dk", role = c("aut", "cre"),
            comment = c(ORCID = "0000-0002-7559-1154")),

NAMESPACE

@@ -116,7 +116,6 @@ export(modify_qmd)
 export(names2val)
 export(overview_vars)
 export(pipe_string)
-export(plot_bar)
 export(plot_bar_single)
 export(plot_box)
 export(plot_box_single)

NEWS.md

@@ -1,7 +1,3 @@
-# FreesearchR 26.4.2
-
-Bug fixes and revised color choices.
-
 # FreesearchR 26.4.1
 
 Minor adjustments and bug fixes including streamlining icon use to only use phosphoricons across the app.

R/app_version.R

@@ -1 +1 @@
-app_version <- function()'26.4.2'
+app_version <- function()'26.4.1'

R/create-column-mod.R

@@ -76,7 +76,7 @@ create_column_ui <- function(id) {
       actionButton(
         inputId = ns("compute"),
         label = tagList(
-          phosphoricons::ph("pencil",weight = "bold"), i18n$t("Create column")
+          phosphoricons::ph("pencil"), i18n$t("Create column")
         ),
         class = "btn-outline-primary",
         width = "100%"
@@ -84,7 +84,7 @@ create_column_ui <- function(id) {
       actionButton(
         inputId = ns("remove"),
         label = tagList(
-          phosphoricons::ph("x-circle",weight = "bold"),
+          phosphoricons::ph("x-circle"),
           i18n$t("Cancel")
         ),
         class = "btn-outline-danger",

R/cut-variable-ext.R

@@ -64,7 +64,7 @@ cut_variable_ui <- function(id) {
     toastui::datagridOutput2(outputId = ns("count")),
     actionButton(
       inputId = ns("create"),
-      label = tagList(phosphoricons::ph("scissors",weight = "bold"), i18n$t("Create factor variable")),
+      label = tagList(phosphoricons::ph("scissors"), i18n$t("Create factor variable")),
       class = "btn-outline-primary float-end"
     ),
     tags$div(class = "clearfix")

R/data_plots.R

@@ -38,7 +38,7 @@ data_visuals_ui <- function(id, tab_title = "Plots", ...) {
               inputId = ns("act_plot"),
               label = i18n$t("Plot"),
               width = "100%",
-              icon = phosphoricons::ph("paint-brush",weight = "bold"),
+              icon = phosphoricons::ph("paint-brush"),
               # icon = shiny::icon("palette"),
               disabled = FALSE
             ),
@@ -243,8 +243,7 @@ data_visuals_server <- function(id,
         colorSelectInput(
           inputId = ns("color_palette"),
           label = i18n$t("Choose color palette"),
-          choices = palettes,
-          previews = 5
+          choices = palettes
         )
       })
 
@@ -722,7 +721,6 @@ wrap_plot_list <- function(data,
                            guides = "collect",
                            axes = "collect",
                            axis_titles = "collect",
-                           y.axis.percentage = FALSE,
                            ...) {
   if (ggplot2::is_ggplot(data[[1]])) {
     if (length(data) > 1) {
@@ -736,7 +734,7 @@ wrap_plot_list <- function(data,
             .x
           }
         })() |>
-        align_axes(percentage=y.axis.percentage) |>
+        align_axes() |>
         patchwork::wrap_plots(guides = guides,
                               axes = axes,
                               axis_titles = axis_titles,
@@ -781,8 +779,7 @@ wrap_plot_list <- function(data,
 #'
 align_axes <- function(...,
                        x.axis = TRUE,
-                       y.axis = TRUE,
-                       percentage = FALSE) {
+                       y.axis = TRUE) {
   # https://stackoverflow.com/questions/62818776/get-axis-limits-from-ggplot-object
   # https://github.com/thomasp85/patchwork/blob/main/R/plot_multipage.R#L150
   if (ggplot2::is_ggplot(..1)) {
@@ -800,7 +797,7 @@ align_axes <- function(...,
   xr <- clean_common_axis(p, "x")
 
   suppressWarnings({
-    p_out <- purrr::map(p, \(.x) {
+    purrr::map(p, \(.x) {
       out <- .x
       if (isTRUE(x.axis)) {
         out <- out + ggplot2::xlim(xr)
@@ -811,15 +808,6 @@ align_axes <- function(...,
       out
     })
   })
-
-  if(isTRUE(percentage)){
-    lapply(p_out,\(.x){
-      .x+
-        ggplot2::scale_y_continuous(labels = scales::percent)
-    })
-  } else {
-    p_out
-  }
 }
 
 #' Extract and clean axis ranges

R/generate_colors.R

@@ -254,12 +254,12 @@ color_choices <- function() {
     "Perceptual (blue-yellow)"   = "viridis",
     "Perceptual (fire)"          = "plasma",
     "Colour-blind friendly"      = "Okabe-Ito",
-    "Diverging (red-yellow-green)"= "RdYlGn",
-    "Diverging (red-blue)"       = "RdBu",
-    "Sequential (blues)"         = "Blues",
-    "Qualitative (paired)"       = "Paired",
     "Qualitative (bold)"         = "Dark 2",
-    "Rainbow"                    = "Spectral",
-    "Generic"                     = "Set1"
+    "Qualitative (paired)"       = "Paired",
+    "Sequential (blues)"         = "Blues",
+    "Diverging (red-blue)"       = "RdBu",
+    "Tableau style"              = "Tableau 10",
+    "Pastel"                     = "Pastel 1",
+    "Rainbow"                    = "rainbow"
   )
 }

R/hosted_version.R

@@ -1 +1 @@
-hosted_version <- function()'v26.4.2-260410'
+hosted_version <- function()'v26.4.1-260402'

R/import-file-ext.R

@@ -714,7 +714,7 @@ make_success_alert <- function(data,
       i18n$t("Data ready to be imported!")
     ),
     sprintf(
-      i18n$t("The data set has %s obs. in %s variables."),
+      i18n$t("Data has %s obs. of %s variables."),
       nrow(data),
       ncol(data)
     ),
@@ -725,7 +725,7 @@ make_success_alert <- function(data,
       i18n$t("Data successfully imported!")
     ),
     sprintf(
-      i18n$t("The data set has %s obs. in %s variables."),
+      i18n$t("Data has %s obs. of %s variables."),
       nrow(data),
       ncol(data)
     ),

R/missings-module.R

@@ -37,7 +37,7 @@ data_missings_ui <- function(id, ...) {
             inputId = ns("act_miss"),
             label = i18n$t("Evaluate"),
             width = "100%",
-            icon = phosphoricons::ph("calculator",weight = "bold"),
+            icon = phosphoricons::ph("calculator"),
             # icon = shiny::icon("calculator"),
             disabled = TRUE
           )

R/plot_bar.R

@@ -1,29 +1,5 @@
-#' Title
-#'
-#' @name data-plots
-#'
-#' @param style barplot style passed to geom_bar position argument.
-#' One of c("stack", "dodge", "fill")
-#'
-#' @returns ggplot list object
-#' @export
-#'
-#' @examples
-#' mtcars |>
-#'   dplyr::mutate(cyl = factor(cyl), am = factor(am)) |>
-#'   plot_bar(pri = "cyl", sec = "am", style = "fill")
-#'
-#' mtcars |>
-#'   dplyr::mutate(dplyr::across(tidyselect::all_of(c("cyl","am","gear")),factor)) |>
-#'   plot_bar(pri = "cyl", sec = "gear", ter = "am", style = "stack",color.palette="turbo")
-plot_bar <- function(data,
-                     pri,
-                     sec = NULL,
-                     ter = NULL,
-                     style = c("stack", "dodge", "fill"),
-                     color.palette = "viridis",
-                     max_level = 30,
-                     ...) {
+plot_bar <- function(data, pri, sec, ter = NULL, style = c("stack", "dodge", "fill"),
+                     color.palette = "viridis", max_level = 30, ...) {
   style <- match.arg(style)
 
   if (!is.null(ter)) {
@@ -32,7 +8,7 @@ plot_bar <- function(data,
     ds <- list(data)
   }
 
-  out <- lapply(ds, \(.ds) {
+  out <- lapply(ds, \(.ds){
     plot_bar_single(
       data = .ds,
       pri = pri,
@@ -43,10 +19,7 @@ plot_bar <- function(data,
     )
   })
 
-  wrap_plot_list(out,
-                 title = glue::glue(i18n$t("Grouped by {get_label(data,ter)}")),
-                 y.axis.percentage = TRUE,
-                 ...)
+  wrap_plot_list(out, title = glue::glue(i18n$t("Grouped by {get_label(data,ter)}")), ...)
 }
 
 
@@ -68,11 +41,7 @@ plot_bar <- function(data,
 #' mtcars |>
 #'   dplyr::mutate(cyl = factor(cyl), am = factor(am)) |>
 #'   plot_bar_single(pri = "cyl", style = "stack",color.palette="turbo")
-plot_bar_single <- function(data,
-                            pri,
-                            sec = NULL,
-                            style = c("stack", "dodge", "fill"),
-                            max_level = 30,
+plot_bar_single <- function(data, pri, sec = NULL, style = c("stack", "dodge", "fill"), max_level = 30,
                             color.palette = "viridis") {
   style <- match.arg(style)
 
@@ -82,11 +51,16 @@ plot_bar_single <- function(data,
 
   p_data <- as.data.frame(table(data[c(pri, sec)])) |>
     dplyr::mutate(dplyr::across(tidyselect::any_of(c(pri, sec)), forcats::as_factor),
-                  p = Freq / NROW(data))
+      p = Freq / NROW(data)
+    )
 
 
   if (nrow(p_data) > max_level) {
-    p_data <- sort_by(p_data, p_data[["Freq"]], decreasing = TRUE) |>
+    p_data <- sort_by(
+      p_data,
+      p_data[["Freq"]],
+      decreasing = TRUE
+    ) |>
       head(max_level)
   }
 
@@ -99,31 +73,39 @@ plot_bar_single <- function(data,
     fill <- pri
   }
 
-  p <- ggplot2::ggplot(p_data, ggplot2::aes(x = .data[[pri]], y = p, fill = .data[[fill]])) +
+  p <- ggplot2::ggplot(
+    p_data,
+    ggplot2::aes(
+      x = .data[[pri]],
+      y = p,
+      fill = .data[[fill]]
+    )
+  ) +
     ggplot2::geom_bar(position = style, stat = "identity") +
-    scale_fill_generate(palette = color.palette)  +
-    ggplot2::xlab(get_label(data, pri)) +
-    ggplot2::guides(fill = ggplot2::guide_legend(title = get_label(data, fill)))
+    ggplot2::scale_y_continuous(labels = scales::percent) +
+    scale_fill_generate(palette=color.palette) +
+    ggplot2::ylab("Percentage") +
+    ggplot2::xlab(get_label(data,pri))+
+    ggplot2::guides(fill = ggplot2::guide_legend(title = get_label(data,fill)))
 
   ## To handle large number of levels and long level names
 
-  if (nrow(p_data) > 10 |
-      any(nchar(as.character(p_data[[pri]])) > 6)) {
+  if (nrow(p_data) > 10 | any(nchar(as.character(p_data[[pri]])) > 6)) {
     p <- p +
       # ggplot2::guides(fill = "none") +
-      ggplot2::theme(axis.text.x = ggplot2::element_text(
+      ggplot2::theme(
+        axis.text.x = ggplot2::element_text(
           angle = 90,
-        vjust = 1,
-        hjust = 1
-      )) +
-      ggplot2::theme(axis.text.x = ggplot2::element_text(vjust = 0.5))
+          vjust = 1, hjust = 1
+        ))+
+      ggplot2::theme(
+        axis.text.x = ggplot2::element_text(vjust = 0.5)
+      )
 
-    if (is.null(sec)) {
+    if (is.null(sec)){
       p <- p +
         ggplot2::guides(fill = "none")
     }
   }
-  p +
-    ggplot2::scale_y_continuous(labels = scales::percent) +
-    ggplot2::ylab("Percentage")
+  p
 }

R/separate_string.R

@@ -50,7 +50,7 @@ string_split_ui <- function(id) {
     ),
     actionButton(
       inputId = ns("create"),
-      label = tagList(phosphoricons::ph("pencil",weight = "bold"), i18n$t("Apply split")),
+      label = tagList(phosphoricons::ph("pencil"), i18n$t("Apply split")),
       class = "btn-outline-primary float-end"
     ),
     tags$div(class = "clearfix")

R/ui_elements.R

@@ -124,7 +124,7 @@ ui_elements <- function(selection) {
               inputId = "modal_initial_view",
               label = i18n$t("Quick overview"),
               width = "100%",
-              icon = phosphoricons::ph("binoculars",weight = "bold"),
+              icon = phosphoricons::ph("binoculars"),
               # icon = shiny::icon("binoculars"),
               disabled = FALSE
             ),
@@ -169,7 +169,7 @@ ui_elements <- function(selection) {
               inputId = "act_start",
               label = i18n$t("Let's begin!"),
               width = "100%",
-              icon = phosphoricons::ph("play",weight = "bold"),
+              icon = phosphoricons::ph("play"),
               # icon = shiny::icon("play"),
               disabled = TRUE
             ),
@@ -460,7 +460,7 @@ ui_elements <- function(selection) {
                     inputId = "act_eval",
                     label = i18n$t("Evaluate"),
                     width = "100%",
-                    icon = phosphoricons::ph("calculator",weight = "bold"),
+                    icon = phosphoricons::ph("calculator"),
                     # icon = shiny::icon("calculator"),
                     disabled = TRUE
                   ),

R/update-factor-ext.R

@@ -44,7 +44,7 @@ update_factor_ui <- function(id) {
         actionButton(
           disabled = TRUE,
           inputId = ns("drop_levels"),
-          label = tagList(phosphoricons::ph("trash",weight = "bold"), i18n$t("Drop empty")),
+          label = tagList(phosphoricons::ph("trash"), i18n$t("Drop empty")),
           class = "btn-outline-primary mb-3",
           width = "100%"
         )
@@ -55,7 +55,7 @@ update_factor_ui <- function(id) {
         actionButton(
           inputId = ns("sort_levels"),
           label = tagList(
-            phosphoricons::ph("sort-ascending",weight = "bold"),
+            phosphoricons::ph("sort-ascending"),
             i18n$t("Sort by levels")
           ),
           class = "btn-outline-primary mb-3",
@@ -68,7 +68,7 @@ update_factor_ui <- function(id) {
         actionButton(
           inputId = ns("sort_occurrences"),
           label = tagList(
-            phosphoricons::ph("sort-ascending",weight = "bold"),
+            phosphoricons::ph("sort-ascending"),
             i18n$t("Sort by count")
           ),
           class = "btn-outline-primary mb-3",
@@ -92,7 +92,7 @@ update_factor_ui <- function(id) {
       actionButton(
         inputId = ns("create"),
         label = tagList(
-          phosphoricons::ph("arrow-clockwise",weight = "bold"),
+          phosphoricons::ph("arrow-clockwise"),
           i18n$t("Update factor variable")
         ),
         class = "btn-outline-primary"

R/update-variables-ext.R

@@ -30,7 +30,7 @@ update_variables_ui <- function(id, title = "") {
             placement = "bottom-end",
             shiny::actionButton(
               inputId = ns("settings"),
-              label = phosphoricons::ph("gear",weight = "bold"),
+              label = phosphoricons::ph("gear"),
               class = "pull-right float-right"
             ),
             shinyWidgets::textInputIcon(
@@ -75,7 +75,7 @@ update_variables_ui <- function(id, title = "") {
     shiny::actionButton(
       inputId = ns("validate"),
       label = htmltools::tagList(
-        phosphoricons::ph("arrow-circle-right", title = i18n$t("Apply changes"),weight = "bold"),
+        phosphoricons::ph("arrow-circle-right", title = i18n$t("Apply changes")),
         i18n$t("Apply changes")
       ),
       width = "100%"

SESSION.md

@@ -4,18 +4,18 @@
 |setting     |value                                      |
 |:-----------|:------------------------------------------|
 |version     |R version 4.5.2 (2025-10-31)               |
-|os          |macOS Tahoe 26.4.1                         |
+|os          |macOS Tahoe 26.4                           |
 |system      |aarch64, darwin20                          |
 |ui          |RStudio                                    |
 |language    |(EN)                                       |
 |collate     |en_US.UTF-8                                |
 |ctype       |en_US.UTF-8                                |
 |tz          |Europe/Copenhagen                          |
-|date        |2026-04-10                                 |
+|date        |2026-04-01                                 |
 |rstudio     |2026.01.1+403 Apple Blossom (desktop)      |
 |pandoc      |3.6.4 @ /opt/homebrew/bin/ (via rmarkdown) |
 |quarto      |1.7.30 @ /usr/local/bin/quarto             |
-|FreesearchR |26.4.2.260410                              |
+|FreesearchR |26.4.1.260401                              |
                                                                                 
                                                                                 
 --------------------------------------------------------------------------------
@@ -83,7 +83,7 @@
 |foreach           |1.5.2         |2022-02-02 |CRAN (R 4.5.0) |
 |foreign           |0.8-91        |2026-01-29 |CRAN (R 4.5.2) |
 |Formula           |1.2-5         |2023-02-24 |CRAN (R 4.5.0) |
-|FreesearchR       |26.4.2        |NA         |NA             |
+|FreesearchR       |26.4.1        |NA         |NA             |
 |fs                |1.6.7         |2026-03-06 |CRAN (R 4.5.2) |
 |gdtools           |0.5.0         |2026-02-09 |CRAN (R 4.5.2) |
 |generics          |0.1.4         |2025-05-09 |CRAN (R 4.5.0) |
@@ -147,6 +147,7 @@
 |pkgload           |1.5.0         |2026-02-03 |CRAN (R 4.5.2) |
 |plyr              |1.8.9         |2023-10-02 |CRAN (R 4.5.0) |
 |polyclip          |1.10-7        |2024-07-23 |CRAN (R 4.5.0) |
+|polylabelr        |1.0.0         |2026-01-19 |CRAN (R 4.5.2) |
 |pracma            |2.4.6         |2025-10-22 |CRAN (R 4.5.0) |
 |processx          |3.8.6         |2025-02-21 |CRAN (R 4.5.0) |
 |promises          |1.5.0         |2025-11-01 |CRAN (R 4.5.0) |

app_docker/app.R

@@ -1,7 +1,7 @@
 
 
 ########
-#### Current file: /var/folders/9l/xbc19wxx0g79jdd2sf_0v291mhwh7f/T//RtmprUCGcI/file4761ae70bf7.R 
+#### Current file: /var/folders/9l/xbc19wxx0g79jdd2sf_0v291mhwh7f/T//RtmpmlTuE8/file8be05102425f.R 
 ########
 
 i18n_path <- here::here("translations")
@@ -64,7 +64,7 @@ i18n$set_translation_language("en")
 #### Current file: /Users/au301842/FreesearchR/R//app_version.R 
 ########
 
-app_version <- function()'26.4.2'
+app_version <- function()'26.4.1'
 
 
 ########
@@ -512,7 +512,7 @@ create_column_ui <- function(id) {
       actionButton(
         inputId = ns("compute"),
         label = tagList(
-          phosphoricons::ph("pencil",weight = "bold"), i18n$t("Create column")
+          phosphoricons::ph("pencil"), i18n$t("Create column")
         ),
         class = "btn-outline-primary",
         width = "100%"
@@ -520,7 +520,7 @@ create_column_ui <- function(id) {
       actionButton(
         inputId = ns("remove"),
         label = tagList(
-          phosphoricons::ph("x-circle",weight = "bold"),
+          phosphoricons::ph("x-circle"),
           i18n$t("Cancel")
         ),
         class = "btn-outline-danger",
@@ -1568,7 +1568,7 @@ cut_variable_ui <- function(id) {
     toastui::datagridOutput2(outputId = ns("count")),
     actionButton(
       inputId = ns("create"),
-      label = tagList(phosphoricons::ph("scissors",weight = "bold"), i18n$t("Create factor variable")),
+      label = tagList(phosphoricons::ph("scissors"), i18n$t("Create factor variable")),
       class = "btn-outline-primary float-end"
     ),
     tags$div(class = "clearfix")
@@ -2175,7 +2175,7 @@ data_visuals_ui <- function(id, tab_title = "Plots", ...) {
               inputId = ns("act_plot"),
               label = i18n$t("Plot"),
               width = "100%",
-              icon = phosphoricons::ph("paint-brush",weight = "bold"),
+              icon = phosphoricons::ph("paint-brush"),
               # icon = shiny::icon("palette"),
               disabled = FALSE
             ),
@@ -2380,8 +2380,7 @@ data_visuals_server <- function(id,
         colorSelectInput(
           inputId = ns("color_palette"),
           label = i18n$t("Choose color palette"),
-          choices = palettes,
-          previews = 5
+          choices = palettes
         )
       })
 
@@ -2859,7 +2858,6 @@ wrap_plot_list <- function(data,
                            guides = "collect",
                            axes = "collect",
                            axis_titles = "collect",
-                           y.axis.percentage = FALSE,
                            ...) {
   if (ggplot2::is_ggplot(data[[1]])) {
     if (length(data) > 1) {
@@ -2873,7 +2871,7 @@ wrap_plot_list <- function(data,
             .x
           }
         })() |>
-        align_axes(percentage=y.axis.percentage) |>
+        align_axes() |>
         patchwork::wrap_plots(guides = guides,
                               axes = axes,
                               axis_titles = axis_titles,
@@ -2918,8 +2916,7 @@ wrap_plot_list <- function(data,
 #'
 align_axes <- function(...,
                        x.axis = TRUE,
-                       y.axis = TRUE,
-                       percentage = FALSE) {
+                       y.axis = TRUE) {
   # https://stackoverflow.com/questions/62818776/get-axis-limits-from-ggplot-object
   # https://github.com/thomasp85/patchwork/blob/main/R/plot_multipage.R#L150
   if (ggplot2::is_ggplot(..1)) {
@@ -2937,7 +2934,7 @@ align_axes <- function(...,
   xr <- clean_common_axis(p, "x")
 
   suppressWarnings({
-    p_out <- purrr::map(p, \(.x) {
+    purrr::map(p, \(.x) {
       out <- .x
       if (isTRUE(x.axis)) {
         out <- out + ggplot2::xlim(xr)
@@ -2948,15 +2945,6 @@ align_axes <- function(...,
       out
     })
   })
-
-  if(isTRUE(percentage)){
-    lapply(p_out,\(.x){
-      .x+
-        ggplot2::scale_y_continuous(labels = scales::percent)
-    })
-  } else {
-    p_out
-  }
 }
 
 #' Extract and clean axis ranges
@@ -4043,13 +4031,13 @@ color_choices <- function() {
     "Perceptual (blue-yellow)"   = "viridis",
     "Perceptual (fire)"          = "plasma",
     "Colour-blind friendly"      = "Okabe-Ito",
-    "Diverging (red-yellow-green)"= "RdYlGn",
-    "Diverging (red-blue)"       = "RdBu",
-    "Sequential (blues)"         = "Blues",
-    "Qualitative (paired)"       = "Paired",
     "Qualitative (bold)"         = "Dark 2",
-    "Rainbow"                    = "Spectral",
-    "Generic"                     = "Set1"
+    "Qualitative (paired)"       = "Paired",
+    "Sequential (blues)"         = "Blues",
+    "Diverging (red-blue)"       = "RdBu",
+    "Tableau style"              = "Tableau 10",
+    "Pastel"                     = "Pastel 1",
+    "Rainbow"                    = "rainbow"
   )
 }
 
@@ -4957,7 +4945,7 @@ apply_idea_filter <- function(filtered_reactive, df_target, env = parent.frame()
 #### Current file: /Users/au301842/FreesearchR/R//hosted_version.R 
 ########
 
-hosted_version <- function()'v26.4.2-260410'
+hosted_version <- function()'v26.4.1-260402'
 
 
 ########
@@ -6097,7 +6085,7 @@ make_success_alert <- function(data,
       i18n$t("Data ready to be imported!")
     ),
     sprintf(
-      i18n$t("The data set has %s obs. in %s variables."),
+      i18n$t("Data has %s obs. of %s variables."),
       nrow(data),
       ncol(data)
     ),
@@ -6108,7 +6096,7 @@ make_success_alert <- function(data,
       i18n$t("Data successfully imported!")
     ),
     sprintf(
-      i18n$t("The data set has %s obs. in %s variables."),
+      i18n$t("Data has %s obs. of %s variables."),
       nrow(data),
       ncol(data)
     ),
@@ -6593,7 +6581,7 @@ data_missings_ui <- function(id, ...) {
             inputId = ns("act_miss"),
             label = i18n$t("Evaluate"),
             width = "100%",
-            icon = phosphoricons::ph("calculator",weight = "bold"),
+            icon = phosphoricons::ph("calculator"),
             # icon = shiny::icon("calculator"),
             disabled = TRUE
           )
@@ -6930,32 +6918,8 @@ missings_logic_across <- function(data, exclude = NULL) {
 #### Current file: /Users/au301842/FreesearchR/R//plot_bar.R 
 ########
 
-#' Title
-#'
-#' @name data-plots
-#'
-#' @param style barplot style passed to geom_bar position argument.
-#' One of c("stack", "dodge", "fill")
-#'
-#' @returns ggplot list object
-#' @export
-#'
-#' @examples
-#' mtcars |>
-#'   dplyr::mutate(cyl = factor(cyl), am = factor(am)) |>
-#'   plot_bar(pri = "cyl", sec = "am", style = "fill")
-#'
-#' mtcars |>
-#'   dplyr::mutate(dplyr::across(tidyselect::all_of(c("cyl","am","gear")),factor)) |>
-#'   plot_bar(pri = "cyl", sec = "gear", ter = "am", style = "stack",color.palette="turbo")
-plot_bar <- function(data,
-                     pri,
-                     sec = NULL,
-                     ter = NULL,
-                     style = c("stack", "dodge", "fill"),
-                     color.palette = "viridis",
-                     max_level = 30,
-                     ...) {
+plot_bar <- function(data, pri, sec, ter = NULL, style = c("stack", "dodge", "fill"),
+                     color.palette = "viridis", max_level = 30, ...) {
   style <- match.arg(style)
 
   if (!is.null(ter)) {
@@ -6964,7 +6928,7 @@ plot_bar <- function(data,
     ds <- list(data)
   }
 
-  out <- lapply(ds, \(.ds) {
+  out <- lapply(ds, \(.ds){
     plot_bar_single(
       data = .ds,
       pri = pri,
@@ -6975,10 +6939,7 @@ plot_bar <- function(data,
     )
   })
 
-  wrap_plot_list(out,
-                 title = glue::glue(i18n$t("Grouped by {get_label(data,ter)}")),
-                 y.axis.percentage = TRUE,
-                 ...)
+  wrap_plot_list(out, title = glue::glue(i18n$t("Grouped by {get_label(data,ter)}")), ...)
 }
 
 
@@ -7000,11 +6961,7 @@ plot_bar <- function(data,
 #' mtcars |>
 #'   dplyr::mutate(cyl = factor(cyl), am = factor(am)) |>
 #'   plot_bar_single(pri = "cyl", style = "stack",color.palette="turbo")
-plot_bar_single <- function(data,
-                            pri,
-                            sec = NULL,
-                            style = c("stack", "dodge", "fill"),
-                            max_level = 30,
+plot_bar_single <- function(data, pri, sec = NULL, style = c("stack", "dodge", "fill"), max_level = 30,
                             color.palette = "viridis") {
   style <- match.arg(style)
 
@@ -7014,11 +6971,16 @@ plot_bar_single <- function(data,
 
   p_data <- as.data.frame(table(data[c(pri, sec)])) |>
     dplyr::mutate(dplyr::across(tidyselect::any_of(c(pri, sec)), forcats::as_factor),
-                  p = Freq / NROW(data))
+      p = Freq / NROW(data)
+    )
 
 
   if (nrow(p_data) > max_level) {
-    p_data <- sort_by(p_data, p_data[["Freq"]], decreasing = TRUE) |>
+    p_data <- sort_by(
+      p_data,
+      p_data[["Freq"]],
+      decreasing = TRUE
+    ) |>
       head(max_level)
   }
 
@@ -7031,33 +6993,41 @@ plot_bar_single <- function(data,
     fill <- pri
   }
 
-  p <- ggplot2::ggplot(p_data, ggplot2::aes(x = .data[[pri]], y = p, fill = .data[[fill]])) +
+  p <- ggplot2::ggplot(
+    p_data,
+    ggplot2::aes(
+      x = .data[[pri]],
+      y = p,
+      fill = .data[[fill]]
+    )
+  ) +
     ggplot2::geom_bar(position = style, stat = "identity") +
-    scale_fill_generate(palette = color.palette)  +
-    ggplot2::xlab(get_label(data, pri)) +
-    ggplot2::guides(fill = ggplot2::guide_legend(title = get_label(data, fill)))
+    ggplot2::scale_y_continuous(labels = scales::percent) +
+    scale_fill_generate(palette=color.palette) +
+    ggplot2::ylab("Percentage") +
+    ggplot2::xlab(get_label(data,pri))+
+    ggplot2::guides(fill = ggplot2::guide_legend(title = get_label(data,fill)))
 
   ## To handle large number of levels and long level names
 
-  if (nrow(p_data) > 10 |
-      any(nchar(as.character(p_data[[pri]])) > 6)) {
+  if (nrow(p_data) > 10 | any(nchar(as.character(p_data[[pri]])) > 6)) {
     p <- p +
       # ggplot2::guides(fill = "none") +
-      ggplot2::theme(axis.text.x = ggplot2::element_text(
+      ggplot2::theme(
+        axis.text.x = ggplot2::element_text(
           angle = 90,
-        vjust = 1,
-        hjust = 1
-      )) +
-      ggplot2::theme(axis.text.x = ggplot2::element_text(vjust = 0.5))
+          vjust = 1, hjust = 1
+        ))+
+      ggplot2::theme(
+        axis.text.x = ggplot2::element_text(vjust = 0.5)
+      )
 
-    if (is.null(sec)) {
+    if (is.null(sec)){
       p <- p +
         ggplot2::guides(fill = "none")
     }
   }
-  p +
-    ggplot2::scale_y_continuous(labels = scales::percent) +
-    ggplot2::ylab("Percentage")
+  p
 }
 
 
@@ -10995,7 +10965,7 @@ string_split_ui <- function(id) {
     ),
     actionButton(
       inputId = ns("create"),
-      label = tagList(phosphoricons::ph("pencil",weight = "bold"), i18n$t("Apply split")),
+      label = tagList(phosphoricons::ph("pencil"), i18n$t("Apply split")),
       class = "btn-outline-primary float-end"
     ),
     tags$div(class = "clearfix")
@@ -11880,7 +11850,7 @@ ui_elements <- function(selection) {
               inputId = "modal_initial_view",
               label = i18n$t("Quick overview"),
               width = "100%",
-              icon = phosphoricons::ph("binoculars",weight = "bold"),
+              icon = phosphoricons::ph("binoculars"),
               # icon = shiny::icon("binoculars"),
               disabled = FALSE
             ),
@@ -11925,7 +11895,7 @@ ui_elements <- function(selection) {
               inputId = "act_start",
               label = i18n$t("Let's begin!"),
               width = "100%",
-              icon = phosphoricons::ph("play",weight = "bold"),
+              icon = phosphoricons::ph("play"),
               # icon = shiny::icon("play"),
               disabled = TRUE
             ),
@@ -12216,7 +12186,7 @@ ui_elements <- function(selection) {
                     inputId = "act_eval",
                     label = i18n$t("Evaluate"),
                     width = "100%",
-                    icon = phosphoricons::ph("calculator",weight = "bold"),
+                    icon = phosphoricons::ph("calculator"),
                     # icon = shiny::icon("calculator"),
                     disabled = TRUE
                   ),
@@ -12527,7 +12497,7 @@ update_factor_ui <- function(id) {
         actionButton(
           disabled = TRUE,
           inputId = ns("drop_levels"),
-          label = tagList(phosphoricons::ph("trash",weight = "bold"), i18n$t("Drop empty")),
+          label = tagList(phosphoricons::ph("trash"), i18n$t("Drop empty")),
           class = "btn-outline-primary mb-3",
           width = "100%"
         )
@@ -12538,7 +12508,7 @@ update_factor_ui <- function(id) {
         actionButton(
           inputId = ns("sort_levels"),
           label = tagList(
-            phosphoricons::ph("sort-ascending",weight = "bold"),
+            phosphoricons::ph("sort-ascending"),
             i18n$t("Sort by levels")
           ),
           class = "btn-outline-primary mb-3",
@@ -12551,7 +12521,7 @@ update_factor_ui <- function(id) {
         actionButton(
           inputId = ns("sort_occurrences"),
           label = tagList(
-            phosphoricons::ph("sort-ascending",weight = "bold"),
+            phosphoricons::ph("sort-ascending"),
             i18n$t("Sort by count")
           ),
           class = "btn-outline-primary mb-3",
@@ -12575,7 +12545,7 @@ update_factor_ui <- function(id) {
       actionButton(
         inputId = ns("create"),
         label = tagList(
-          phosphoricons::ph("arrow-clockwise",weight = "bold"),
+          phosphoricons::ph("arrow-clockwise"),
           i18n$t("Update factor variable")
         ),
         class = "btn-outline-primary"
@@ -12927,7 +12897,7 @@ update_variables_ui <- function(id, title = "") {
             placement = "bottom-end",
             shiny::actionButton(
               inputId = ns("settings"),
-              label = phosphoricons::ph("gear",weight = "bold"),
+              label = phosphoricons::ph("gear"),
               class = "pull-right float-right"
             ),
             shinyWidgets::textInputIcon(
@@ -12972,7 +12942,7 @@ update_variables_ui <- function(id, title = "") {
     shiny::actionButton(
       inputId = ns("validate"),
       label = htmltools::tagList(
-        phosphoricons::ph("arrow-circle-right", title = i18n$t("Apply changes"),weight = "bold"),
+        phosphoricons::ph("arrow-circle-right", title = i18n$t("Apply changes")),
         i18n$t("Apply changes")
       ),
       width = "100%"

app_docker/translations/translation_da.csv

@@ -275,6 +275,7 @@
 "Select a dataset from your environment or sample dataset from a package.","Vælg et datasæt fra din kørende session eller vælg træningsdata."
 "Select a sample dataset from a package.","Vælg et træningsdatasæt."
 "Data ready to be imported!","Data er klar til at blive importeret!"
+"Data has %s obs. of %s variables.","Data har %s obs. på %s variabler."
 "Data successfully imported!","Data successfully imported!"
 "Click to see data","Klik for at se data"
 "No data present.","Ingen data tilstede."
@@ -319,4 +320,3 @@
 "Likert diagram","Likert diagram"
 "Modify factor","Modify factor"
 "Create factor/categorical variable from other variables.","Create factor/categorical variable from other variables."
-"The data set has %s obs. in %s variables.","The data set has %s obs. in %s variables."

app_docker/translations/translation_sw.csv

@@ -275,6 +275,7 @@
 "Select a dataset from your environment or sample dataset from a package.","Select a dataset from your environment or sample dataset from a package."
 "Select a sample dataset from a package.","Select a sample dataset from a package."
 "Data ready to be imported!","Data ready to be imported!"
+"Data has %s obs. of %s variables.","Data has %s obs. of %s variables."
 "Data successfully imported!","Data successfully imported!"
 "Click to see data","Click to see data"
 "No data present.","No data present."
@@ -319,4 +320,3 @@
 "Likert diagram","Likert diagram"
 "Modify factor","Modify factor"
 "Create factor/categorical variable from other variables.","Create factor/categorical variable from other variables."
-"The data set has %s obs. in %s variables.","The data set has %s obs. in %s variables."

inst/apps/FreesearchR/app.R

@@ -1,7 +1,7 @@
 
 
 ########
-#### Current file: /var/folders/9l/xbc19wxx0g79jdd2sf_0v291mhwh7f/T//RtmprUCGcI/file47614d090a4c.R 
+#### Current file: /var/folders/9l/xbc19wxx0g79jdd2sf_0v291mhwh7f/T//RtmpmlTuE8/file8be0207bfdc2.R 
 ########
 
 i18n_path <- system.file("translations", package = "FreesearchR")
@@ -64,7 +64,7 @@ i18n$set_translation_language("en")
 #### Current file: /Users/au301842/FreesearchR/R//app_version.R 
 ########
 
-app_version <- function()'26.4.2'
+app_version <- function()'26.4.1'
 
 
 ########
@@ -512,7 +512,7 @@ create_column_ui <- function(id) {
       actionButton(
         inputId = ns("compute"),
         label = tagList(
-          phosphoricons::ph("pencil",weight = "bold"), i18n$t("Create column")
+          phosphoricons::ph("pencil"), i18n$t("Create column")
         ),
         class = "btn-outline-primary",
         width = "100%"
@@ -520,7 +520,7 @@ create_column_ui <- function(id) {
       actionButton(
         inputId = ns("remove"),
         label = tagList(
-          phosphoricons::ph("x-circle",weight = "bold"),
+          phosphoricons::ph("x-circle"),
           i18n$t("Cancel")
         ),
         class = "btn-outline-danger",
@@ -1568,7 +1568,7 @@ cut_variable_ui <- function(id) {
     toastui::datagridOutput2(outputId = ns("count")),
     actionButton(
       inputId = ns("create"),
-      label = tagList(phosphoricons::ph("scissors",weight = "bold"), i18n$t("Create factor variable")),
+      label = tagList(phosphoricons::ph("scissors"), i18n$t("Create factor variable")),
       class = "btn-outline-primary float-end"
     ),
     tags$div(class = "clearfix")
@@ -2175,7 +2175,7 @@ data_visuals_ui <- function(id, tab_title = "Plots", ...) {
               inputId = ns("act_plot"),
               label = i18n$t("Plot"),
               width = "100%",
-              icon = phosphoricons::ph("paint-brush",weight = "bold"),
+              icon = phosphoricons::ph("paint-brush"),
               # icon = shiny::icon("palette"),
               disabled = FALSE
             ),
@@ -2380,8 +2380,7 @@ data_visuals_server <- function(id,
         colorSelectInput(
           inputId = ns("color_palette"),
           label = i18n$t("Choose color palette"),
-          choices = palettes,
-          previews = 5
+          choices = palettes
         )
       })
 
@@ -2859,7 +2858,6 @@ wrap_plot_list <- function(data,
                            guides = "collect",
                            axes = "collect",
                            axis_titles = "collect",
-                           y.axis.percentage = FALSE,
                            ...) {
   if (ggplot2::is_ggplot(data[[1]])) {
     if (length(data) > 1) {
@@ -2873,7 +2871,7 @@ wrap_plot_list <- function(data,
             .x
           }
         })() |>
-        align_axes(percentage=y.axis.percentage) |>
+        align_axes() |>
         patchwork::wrap_plots(guides = guides,
                               axes = axes,
                               axis_titles = axis_titles,
@@ -2918,8 +2916,7 @@ wrap_plot_list <- function(data,
 #'
 align_axes <- function(...,
                        x.axis = TRUE,
-                       y.axis = TRUE,
-                       percentage = FALSE) {
+                       y.axis = TRUE) {
   # https://stackoverflow.com/questions/62818776/get-axis-limits-from-ggplot-object
   # https://github.com/thomasp85/patchwork/blob/main/R/plot_multipage.R#L150
   if (ggplot2::is_ggplot(..1)) {
@@ -2937,7 +2934,7 @@ align_axes <- function(...,
   xr <- clean_common_axis(p, "x")
 
   suppressWarnings({
-    p_out <- purrr::map(p, \(.x) {
+    purrr::map(p, \(.x) {
       out <- .x
       if (isTRUE(x.axis)) {
         out <- out + ggplot2::xlim(xr)
@@ -2948,15 +2945,6 @@ align_axes <- function(...,
       out
     })
   })
-
-  if(isTRUE(percentage)){
-    lapply(p_out,\(.x){
-      .x+
-        ggplot2::scale_y_continuous(labels = scales::percent)
-    })
-  } else {
-    p_out
-  }
 }
 
 #' Extract and clean axis ranges
@@ -4043,13 +4031,13 @@ color_choices <- function() {
     "Perceptual (blue-yellow)"   = "viridis",
     "Perceptual (fire)"          = "plasma",
     "Colour-blind friendly"      = "Okabe-Ito",
-    "Diverging (red-yellow-green)"= "RdYlGn",
-    "Diverging (red-blue)"       = "RdBu",
-    "Sequential (blues)"         = "Blues",
-    "Qualitative (paired)"       = "Paired",
     "Qualitative (bold)"         = "Dark 2",
-    "Rainbow"                    = "Spectral",
-    "Generic"                     = "Set1"
+    "Qualitative (paired)"       = "Paired",
+    "Sequential (blues)"         = "Blues",
+    "Diverging (red-blue)"       = "RdBu",
+    "Tableau style"              = "Tableau 10",
+    "Pastel"                     = "Pastel 1",
+    "Rainbow"                    = "rainbow"
   )
 }
 
@@ -4957,7 +4945,7 @@ apply_idea_filter <- function(filtered_reactive, df_target, env = parent.frame()
 #### Current file: /Users/au301842/FreesearchR/R//hosted_version.R 
 ########
 
-hosted_version <- function()'v26.4.2-260410'
+hosted_version <- function()'v26.4.1-260402'
 
 
 ########
@@ -6097,7 +6085,7 @@ make_success_alert <- function(data,
       i18n$t("Data ready to be imported!")
     ),
     sprintf(
-      i18n$t("The data set has %s obs. in %s variables."),
+      i18n$t("Data has %s obs. of %s variables."),
       nrow(data),
       ncol(data)
     ),
@@ -6108,7 +6096,7 @@ make_success_alert <- function(data,
       i18n$t("Data successfully imported!")
     ),
     sprintf(
-      i18n$t("The data set has %s obs. in %s variables."),
+      i18n$t("Data has %s obs. of %s variables."),
       nrow(data),
       ncol(data)
     ),
@@ -6593,7 +6581,7 @@ data_missings_ui <- function(id, ...) {
             inputId = ns("act_miss"),
             label = i18n$t("Evaluate"),
             width = "100%",
-            icon = phosphoricons::ph("calculator",weight = "bold"),
+            icon = phosphoricons::ph("calculator"),
             # icon = shiny::icon("calculator"),
             disabled = TRUE
           )
@@ -6930,32 +6918,8 @@ missings_logic_across <- function(data, exclude = NULL) {
 #### Current file: /Users/au301842/FreesearchR/R//plot_bar.R 
 ########
 
-#' Title
-#'
-#' @name data-plots
-#'
-#' @param style barplot style passed to geom_bar position argument.
-#' One of c("stack", "dodge", "fill")
-#'
-#' @returns ggplot list object
-#' @export
-#'
-#' @examples
-#' mtcars |>
-#'   dplyr::mutate(cyl = factor(cyl), am = factor(am)) |>
-#'   plot_bar(pri = "cyl", sec = "am", style = "fill")
-#'
-#' mtcars |>
-#'   dplyr::mutate(dplyr::across(tidyselect::all_of(c("cyl","am","gear")),factor)) |>
-#'   plot_bar(pri = "cyl", sec = "gear", ter = "am", style = "stack",color.palette="turbo")
-plot_bar <- function(data,
-                     pri,
-                     sec = NULL,
-                     ter = NULL,
-                     style = c("stack", "dodge", "fill"),
-                     color.palette = "viridis",
-                     max_level = 30,
-                     ...) {
+plot_bar <- function(data, pri, sec, ter = NULL, style = c("stack", "dodge", "fill"),
+                     color.palette = "viridis", max_level = 30, ...) {
   style <- match.arg(style)
 
   if (!is.null(ter)) {
@@ -6964,7 +6928,7 @@ plot_bar <- function(data,
     ds <- list(data)
   }
 
-  out <- lapply(ds, \(.ds) {
+  out <- lapply(ds, \(.ds){
     plot_bar_single(
       data = .ds,
       pri = pri,
@@ -6975,10 +6939,7 @@ plot_bar <- function(data,
     )
   })
 
-  wrap_plot_list(out,
-                 title = glue::glue(i18n$t("Grouped by {get_label(data,ter)}")),
-                 y.axis.percentage = TRUE,
-                 ...)
+  wrap_plot_list(out, title = glue::glue(i18n$t("Grouped by {get_label(data,ter)}")), ...)
 }
 
 
@@ -7000,11 +6961,7 @@ plot_bar <- function(data,
 #' mtcars |>
 #'   dplyr::mutate(cyl = factor(cyl), am = factor(am)) |>
 #'   plot_bar_single(pri = "cyl", style = "stack",color.palette="turbo")
-plot_bar_single <- function(data,
-                            pri,
-                            sec = NULL,
-                            style = c("stack", "dodge", "fill"),
-                            max_level = 30,
+plot_bar_single <- function(data, pri, sec = NULL, style = c("stack", "dodge", "fill"), max_level = 30,
                             color.palette = "viridis") {
   style <- match.arg(style)
 
@@ -7014,11 +6971,16 @@ plot_bar_single <- function(data,
 
   p_data <- as.data.frame(table(data[c(pri, sec)])) |>
     dplyr::mutate(dplyr::across(tidyselect::any_of(c(pri, sec)), forcats::as_factor),
-                  p = Freq / NROW(data))
+      p = Freq / NROW(data)
+    )
 
 
   if (nrow(p_data) > max_level) {
-    p_data <- sort_by(p_data, p_data[["Freq"]], decreasing = TRUE) |>
+    p_data <- sort_by(
+      p_data,
+      p_data[["Freq"]],
+      decreasing = TRUE
+    ) |>
       head(max_level)
   }
 
@@ -7031,33 +6993,41 @@ plot_bar_single <- function(data,
     fill <- pri
   }
 
-  p <- ggplot2::ggplot(p_data, ggplot2::aes(x = .data[[pri]], y = p, fill = .data[[fill]])) +
+  p <- ggplot2::ggplot(
+    p_data,
+    ggplot2::aes(
+      x = .data[[pri]],
+      y = p,
+      fill = .data[[fill]]
+    )
+  ) +
     ggplot2::geom_bar(position = style, stat = "identity") +
-    scale_fill_generate(palette = color.palette)  +
-    ggplot2::xlab(get_label(data, pri)) +
-    ggplot2::guides(fill = ggplot2::guide_legend(title = get_label(data, fill)))
+    ggplot2::scale_y_continuous(labels = scales::percent) +
+    scale_fill_generate(palette=color.palette) +
+    ggplot2::ylab("Percentage") +
+    ggplot2::xlab(get_label(data,pri))+
+    ggplot2::guides(fill = ggplot2::guide_legend(title = get_label(data,fill)))
 
   ## To handle large number of levels and long level names
 
-  if (nrow(p_data) > 10 |
-      any(nchar(as.character(p_data[[pri]])) > 6)) {
+  if (nrow(p_data) > 10 | any(nchar(as.character(p_data[[pri]])) > 6)) {
     p <- p +
       # ggplot2::guides(fill = "none") +
-      ggplot2::theme(axis.text.x = ggplot2::element_text(
+      ggplot2::theme(
+        axis.text.x = ggplot2::element_text(
           angle = 90,
-        vjust = 1,
-        hjust = 1
-      )) +
-      ggplot2::theme(axis.text.x = ggplot2::element_text(vjust = 0.5))
+          vjust = 1, hjust = 1
+        ))+
+      ggplot2::theme(
+        axis.text.x = ggplot2::element_text(vjust = 0.5)
+      )
 
-    if (is.null(sec)) {
+    if (is.null(sec)){
       p <- p +
         ggplot2::guides(fill = "none")
     }
   }
-  p +
-    ggplot2::scale_y_continuous(labels = scales::percent) +
-    ggplot2::ylab("Percentage")
+  p
 }
 
 
@@ -10995,7 +10965,7 @@ string_split_ui <- function(id) {
     ),
     actionButton(
       inputId = ns("create"),
-      label = tagList(phosphoricons::ph("pencil",weight = "bold"), i18n$t("Apply split")),
+      label = tagList(phosphoricons::ph("pencil"), i18n$t("Apply split")),
       class = "btn-outline-primary float-end"
     ),
     tags$div(class = "clearfix")
@@ -11880,7 +11850,7 @@ ui_elements <- function(selection) {
               inputId = "modal_initial_view",
               label = i18n$t("Quick overview"),
               width = "100%",
-              icon = phosphoricons::ph("binoculars",weight = "bold"),
+              icon = phosphoricons::ph("binoculars"),
               # icon = shiny::icon("binoculars"),
               disabled = FALSE
             ),
@@ -11925,7 +11895,7 @@ ui_elements <- function(selection) {
               inputId = "act_start",
               label = i18n$t("Let's begin!"),
               width = "100%",
-              icon = phosphoricons::ph("play",weight = "bold"),
+              icon = phosphoricons::ph("play"),
               # icon = shiny::icon("play"),
               disabled = TRUE
             ),
@@ -12216,7 +12186,7 @@ ui_elements <- function(selection) {
                     inputId = "act_eval",
                     label = i18n$t("Evaluate"),
                     width = "100%",
-                    icon = phosphoricons::ph("calculator",weight = "bold"),
+                    icon = phosphoricons::ph("calculator"),
                     # icon = shiny::icon("calculator"),
                     disabled = TRUE
                   ),
@@ -12527,7 +12497,7 @@ update_factor_ui <- function(id) {
         actionButton(
           disabled = TRUE,
           inputId = ns("drop_levels"),
-          label = tagList(phosphoricons::ph("trash",weight = "bold"), i18n$t("Drop empty")),
+          label = tagList(phosphoricons::ph("trash"), i18n$t("Drop empty")),
           class = "btn-outline-primary mb-3",
           width = "100%"
         )
@@ -12538,7 +12508,7 @@ update_factor_ui <- function(id) {
         actionButton(
           inputId = ns("sort_levels"),
           label = tagList(
-            phosphoricons::ph("sort-ascending",weight = "bold"),
+            phosphoricons::ph("sort-ascending"),
             i18n$t("Sort by levels")
           ),
           class = "btn-outline-primary mb-3",
@@ -12551,7 +12521,7 @@ update_factor_ui <- function(id) {
         actionButton(
           inputId = ns("sort_occurrences"),
           label = tagList(
-            phosphoricons::ph("sort-ascending",weight = "bold"),
+            phosphoricons::ph("sort-ascending"),
             i18n$t("Sort by count")
           ),
           class = "btn-outline-primary mb-3",
@@ -12575,7 +12545,7 @@ update_factor_ui <- function(id) {
       actionButton(
         inputId = ns("create"),
         label = tagList(
-          phosphoricons::ph("arrow-clockwise",weight = "bold"),
+          phosphoricons::ph("arrow-clockwise"),
           i18n$t("Update factor variable")
         ),
         class = "btn-outline-primary"
@@ -12927,7 +12897,7 @@ update_variables_ui <- function(id, title = "") {
             placement = "bottom-end",
             shiny::actionButton(
               inputId = ns("settings"),
-              label = phosphoricons::ph("gear",weight = "bold"),
+              label = phosphoricons::ph("gear"),
               class = "pull-right float-right"
             ),
             shinyWidgets::textInputIcon(
@@ -12972,7 +12942,7 @@ update_variables_ui <- function(id, title = "") {
     shiny::actionButton(
       inputId = ns("validate"),
       label = htmltools::tagList(
-        phosphoricons::ph("arrow-circle-right", title = i18n$t("Apply changes"),weight = "bold"),
+        phosphoricons::ph("arrow-circle-right", title = i18n$t("Apply changes")),
         i18n$t("Apply changes")
       ),
       width = "100%"

inst/translations/translation_da.csv

@@ -275,6 +275,7 @@
 "Select a dataset from your environment or sample dataset from a package.","Vælg et datasæt fra din kørende session eller vælg træningsdata."
 "Select a sample dataset from a package.","Vælg et træningsdatasæt."
 "Data ready to be imported!","Data er klar til at blive importeret!"
+"Data has %s obs. of %s variables.","Data har %s obs. på %s variabler."
 "Data successfully imported!","Data successfully imported!"
 "Click to see data","Klik for at se data"
 "No data present.","Ingen data tilstede."
@@ -319,4 +320,3 @@
 "Likert diagram","Likert diagram"
 "Modify factor","Modify factor"
 "Create factor/categorical variable from other variables.","Create factor/categorical variable from other variables."
-"The data set has %s obs. in %s variables.","The data set has %s obs. in %s variables."

inst/translations/translation_sw.csv

@@ -275,6 +275,7 @@
 "Select a dataset from your environment or sample dataset from a package.","Select a dataset from your environment or sample dataset from a package."
 "Select a sample dataset from a package.","Select a sample dataset from a package."
 "Data ready to be imported!","Data ready to be imported!"
+"Data has %s obs. of %s variables.","Data has %s obs. of %s variables."
 "Data successfully imported!","Data successfully imported!"
 "Click to see data","Click to see data"
 "No data present.","No data present."
@@ -319,4 +320,3 @@
 "Likert diagram","Likert diagram"
 "Modify factor","Modify factor"
 "Create factor/categorical variable from other variables.","Create factor/categorical variable from other variables."
-"The data set has %s obs. in %s variables.","The data set has %s obs. in %s variables."

man/align_axes.Rd

@@ -4,7 +4,7 @@
 \alias{align_axes}
 \title{Aligns axes between plots}
 \usage{
-align_axes(..., x.axis = TRUE, y.axis = TRUE, percentage = FALSE)
+align_axes(..., x.axis = TRUE, y.axis = TRUE)
 }
 \arguments{
 \item{...}{ggplot2 objects or list of ggplot2 objects}

man/data-plots.Rd

@@ -7,7 +7,6 @@
 \alias{data_visuals_ui}
 \alias{data_visuals_server}
 \alias{create_plot}
-\alias{plot_bar}
 \alias{plot_bar_single}
 \alias{plot_box}
 \alias{plot_box_single}
@@ -26,17 +25,6 @@ data_visuals_server(id, data, palettes, ...)
 
 create_plot(data, type, pri, sec, ter = NULL, color.palette = "viridis", ...)
 
-plot_bar(
-  data,
-  pri,
-  sec = NULL,
-  ter = NULL,
-  style = c("stack", "dodge", "fill"),
-  color.palette = "viridis",
-  max_level = 30,
-  ...
-)
-
 plot_bar_single(
   data,
   pri,
@@ -103,8 +91,6 @@ shiny server module
 
 ggplot2 object
 
-ggplot list object
-
 ggplot object
 
 ggplot2 object
@@ -130,8 +116,6 @@ Data correlations evaluation module
 
 Wrapper to create plot based on provided type
 
-Title
-
 Single vertical barplot
 
 Beautiful box plot(s)
@@ -154,13 +138,6 @@ Beautiful violin plot
 }
 \examples{
 create_plot(mtcars, "plot_violin", "mpg", "cyl") |> attributes()
-mtcars |>
-  dplyr::mutate(cyl = factor(cyl), am = factor(am)) |>
-  plot_bar(pri = "cyl", sec = "am", style = "fill")
-
-mtcars |>
-  dplyr::mutate(dplyr::across(tidyselect::all_of(c("cyl","am","gear")),factor)) |>
-  plot_bar(pri = "cyl", sec = "gear", ter = "am", style = "stack",color.palette="turbo")
 mtcars |>
   dplyr::mutate(cyl = factor(cyl), am = factor(am)) |>
   plot_bar_single(pri = "cyl", sec = "am", style = "fill")

man/wrap_plot_list.Rd

@@ -12,7 +12,6 @@ wrap_plot_list(
   guides = "collect",
   axes = "collect",
   axis_titles = "collect",
-  y.axis.percentage = FALSE,
   ...
 )
 }