diff --git a/articles/Introduction.html b/articles/Introduction.html
index 5d2819c..cce0268 100644
--- a/articles/Introduction.html
+++ b/articles/Introduction.html
@@ -98,23 +98,23 @@ demonstration of the functions.</p>
 </h2>
 <div class="sourceCode" id="cb2"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="va">redcapcast_data</span> <span class="op">|&gt;</span> <span class="fu">gt</span><span class="fu">::</span><span class="fu"><a href="https://gt.rstudio.com/reference/gt.html" class="external-link">gt</a></span><span class="op">(</span><span class="op">)</span></span></code></pre></div>
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@@ -1065,23 +1065,23 @@ demonstration of the functions.</p>
 </div>
 <div class="sourceCode" id="cb3"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="va">redcapcast_meta</span> <span class="op">|&gt;</span> <span class="fu">gt</span><span class="fu">::</span><span class="fu"><a href="https://gt.rstudio.com/reference/gt.html" class="external-link">gt</a></span><span class="op">(</span><span class="op">)</span></span></code></pre></div>
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+#gdjijuhtzu .gt_font_bold {
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+#gdjijuhtzu .gt_font_italic {
   font-style: italic;
 }
 
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+#gdjijuhtzu .gt_super {
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+#gdjijuhtzu .gt_footnote_marks {
   font-size: 75%;
   vertical-align: 0.4em;
   position: initial;
 }
 
-#azsgiyvwga .gt_asterisk {
+#gdjijuhtzu .gt_asterisk {
   font-size: 100%;
   vertical-align: 0;
 }
 
-#azsgiyvwga .gt_indent_1 {
+#gdjijuhtzu .gt_indent_1 {
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+#gdjijuhtzu .gt_indent_2 {
   text-indent: 10px;
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+#gdjijuhtzu .gt_indent_3 {
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diff --git a/news/index.html b/news/index.html
index a1d5ea5..384a9e2 100644
--- a/news/index.html
+++ b/news/index.html
@@ -55,7 +55,8 @@
 <div class="section level4">
 <h4 id="functions-24-2-1">Functions<a class="anchor" aria-label="anchor" href="#functions-24-2-1"></a></h4>
 <ul><li><p>Fix: <code><a href="../reference/ds2dd.html">ds2dd()</a></code>: uses correct default dd column names. Will be deprecated.</p></li>
-<li><p>Fix: <code><a href="../reference/easy_redcap.html">easy_redcap()</a></code>: fixed to actually allow project naming. also specifically asks for uri.</p></li>
+<li><p>Fix: <code><a href="../reference/easy_redcap.html">easy_redcap()</a></code>: fixed to actually allow project naming. also specifically asks for uri. widening updated to work.</p></li>
+<li><p>Fix: <code><a href="../reference/redcap_wider.html">redcap_wider()</a></code>: updated to accept more formats and allow handling of simple projects without repeating instruments and not longitudinal.</p></li>
 <li><p>Fix: <code><a href="../reference/read_redcap_tables.html">read_redcap_tables()</a></code>: now handles non-longitudinal project without repeatable instruments.</p></li>
 <li><p>NEW: <code><a href="../reference/ds2dd_detailed.html">ds2dd_detailed()</a></code>: extension of the <code><a href="../reference/ds2dd.html">ds2dd()</a></code>, which serves to preserve as much metadata as possible automatically. Depends on a group of helper functions also introduced. Of special note is the <code><a href="../reference/guess_time_only_filter.html">guess_time_only_filter()</a></code>, which will try to guess which columns/variables should be formatted as time only formats. Supports hms time format. DETAILED INSTRUCTION AND VIGNETTE IS PENDING.</p></li>
 <li><p>NEW: <code><a href="../reference/read_redcap_instrument.html">read_redcap_instrument()</a></code> convenience function to retrieve complete instrument. Goes a little against the focused approach. DETAILED INSTRUCTION IS PENDING.</p></li>
diff --git a/pkgdown.yml b/pkgdown.yml
index 736d5db..066cd11 100644
--- a/pkgdown.yml
+++ b/pkgdown.yml
@@ -3,7 +3,7 @@ pkgdown: 2.0.7
 pkgdown_sha: ~
 articles:
   Introduction: Introduction.html
-last_built: 2024-02-06T13:27Z
+last_built: 2024-02-06T13:38Z
 urls:
   reference: https://agdamsbo.github.io/REDCapCAST/reference
   article: https://agdamsbo.github.io/REDCapCAST/articles
diff --git a/reference/ds2ical.html b/reference/ds2ical.html
index 4895bad..d5814ad 100644
--- a/reference/ds2ical.html
+++ b/reference/ds2ical.html
@@ -111,14 +111,14 @@ event description. Can take any column from data set.</p></dd>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 2 × 5</span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>   SUMMARY  DTSTART             DTEND               LOCATION UID                 </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>   <span style="color: #949494; font-style: italic;">&lt;glue&gt;</span>   <span style="color: #949494; font-style: italic;">&lt;dttm&gt;</span>              <span style="color: #949494; font-style: italic;">&lt;dttm&gt;</span>              <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>               </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">1</span> ID 1 [A] 2024-02-06 <span style="color: #949494;">13:27:42</span> 2024-02-06 <span style="color: #949494;">15:27:42</span> 111      ical-6058ef88-8df2-…</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">2</span> ID 3 [A] 2024-02-08 <span style="color: #949494;">13:27:42</span> 2024-02-08 <span style="color: #949494;">15:27:42</span> 111      ical-8d9bc2f4-09ef-…</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">1</span> ID 1 [A] 2024-02-06 <span style="color: #949494;">13:38:12</span> 2024-02-06 <span style="color: #949494;">15:38:12</span> 111      ical-6058ef88-8df2-…</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">2</span> ID 3 [A] 2024-02-08 <span style="color: #949494;">13:38:12</span> 2024-02-08 <span style="color: #949494;">15:38:12</span> 111      ical-8d9bc2f4-09ef-…</span>
 <span class="r-in"><span><span class="va">df</span> <span class="op">|&gt;</span> <span class="fu">ds2ical</span><span class="op">(</span>summary.glue.string <span class="op">=</span> <span class="st">"ID {id} [{assessor}] {note}"</span><span class="op">)</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 2 × 5</span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>   SUMMARY      DTSTART             DTEND               LOCATION UID             </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>   <span style="color: #949494; font-style: italic;">&lt;glue&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;dttm&gt;</span>              <span style="color: #949494; font-style: italic;">&lt;dttm&gt;</span>              <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>           </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">1</span> ID 1 [A]     2024-02-06 <span style="color: #949494;">13:27:42</span> 2024-02-06 <span style="color: #949494;">15:27:42</span> 111      ical-8be1a95c-5…</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">2</span> ID 3 [A] OBS 2024-02-08 <span style="color: #949494;">13:27:42</span> 2024-02-08 <span style="color: #949494;">15:27:42</span> 111      ical-5a05f23b-f…</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">1</span> ID 1 [A]     2024-02-06 <span style="color: #949494;">13:38:12</span> 2024-02-06 <span style="color: #949494;">15:38:12</span> 111      ical-8be1a95c-5…</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">2</span> ID 3 [A] OBS 2024-02-08 <span style="color: #949494;">13:38:12</span> 2024-02-08 <span style="color: #949494;">15:38:12</span> 111      ical-5a05f23b-f…</span>
 <span class="r-in"><span><span class="co"># Export .ics file: (not run)</span></span></span>
 <span class="r-in"><span><span class="va">ical</span> <span class="op">&lt;-</span> <span class="va">df</span> <span class="op">|&gt;</span> <span class="fu">ds2ical</span><span class="op">(</span><span class="va">start</span>, <span class="va">end</span>, <span class="va">location</span>, description.glue.string <span class="op">=</span> <span class="st">"{note}"</span><span class="op">)</span></span></span>
 <span class="r-in"><span><span class="co"># ical |&gt; calendar::ic_write(file=here::here("calendar.ics"))</span></span></span>
diff --git a/search.json b/search.json
index 99415c1..fcc53a2 100644
--- a/search.json
+++ b/search.json
@@ -1 +1 @@
-[{"path":"https://agdamsbo.github.io/REDCapCAST/LICENSE.html","id":null,"dir":"","previous_headings":"","what":"GNU General Public License","title":"GNU General Public License","text":"Version 3, 29 June 2007Copyright © 2007 Free Software Foundation, Inc. <http://fsf.org/> Everyone permitted copy distribute verbatim copies license document, changing allowed.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/LICENSE.html","id":"preamble","dir":"","previous_headings":"","what":"Preamble","title":"GNU General Public License","text":"GNU General Public License free, copyleft license software kinds works. licenses software practical works designed take away freedom share change works. contrast, GNU General Public License intended guarantee freedom share change versions program–make sure remains free software users. , Free Software Foundation, use GNU General Public License software; applies also work released way authors. can apply programs, . speak free software, referring freedom, price. General Public Licenses designed make sure freedom distribute copies free software (charge wish), receive source code can get want , can change software use pieces new free programs, know can things. protect rights, need prevent others denying rights asking surrender rights. Therefore, certain responsibilities distribute copies software, modify : responsibilities respect freedom others. example, distribute copies program, whether gratis fee, must pass recipients freedoms received. must make sure , , receive can get source code. must show terms know rights. 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States allow patents restrict development use software general-purpose computers, , wish avoid special danger patents applied free program make effectively proprietary. prevent , GPL assures patents used render program non-free. precise terms conditions copying, distribution modification follow.","code":""},{"path":[]},{"path":"https://agdamsbo.github.io/REDCapCAST/LICENSE.html","id":"id_0-definitions","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"0. 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Mere interaction user computer network, transfer copy, conveying. interactive user interface displays “Appropriate Legal Notices” extent includes convenient prominently visible feature (1) displays appropriate copyright notice, (2) tells user warranty work (except extent warranties provided), licensees may convey work License, view copy License. interface presents list user commands options, menu, prominent item list meets criterion.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/LICENSE.html","id":"id_1-source-code","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"1. 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License explicitly affirms unlimited permission run unmodified Program. output running covered work covered License output, given content, constitutes covered work. License acknowledges rights fair use equivalent, provided copyright law. may make, run propagate covered works convey, without conditions long license otherwise remains force. may convey covered works others sole purpose make modifications exclusively , provide facilities running works, provided comply terms License conveying material control copyright. thus making running covered works must exclusively behalf, direction control, terms prohibit making copies copyrighted material outside relationship . Conveying circumstances permitted solely conditions stated . Sublicensing allowed; section 10 makes unnecessary.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/LICENSE.html","id":"id_3-protecting-users-legal-rights-from-anti-circumvention-law","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"3. 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License gives permission license work way, invalidate permission separately received . d) 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/REDCapCAST/LICENSE.html","id":"id_6-conveying-non-source-forms","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"6. 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Regardless server hosts Corresponding Source, remain obligated ensure available long needed satisfy requirements. e) 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; b) Requiring preservation specified reasonable legal notices author attributions material Appropriate Legal Notices displayed works containing ; c) Prohibiting misrepresentation origin material, requiring modified versions material marked reasonable ways different original version; d) Limiting use publicity purposes names licensors authors material; e) Declining grant rights trademark law use trade names, trademarks, service marks; f) 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. 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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/REDCapCAST/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 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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Nothing License shall construed excluding limiting implied license defenses infringement may otherwise available applicable patent law.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/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 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/REDCapCAST/LICENSE.html","id":"id_13-use-with-the-gnu-affero-general-public-license","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"13. Use with the GNU Affero General Public License","title":"GNU General Public License","text":"Notwithstanding provision License, permission link combine covered work work licensed version 3 GNU Affero General Public License single combined work, convey resulting work. terms License continue apply part covered work, special requirements GNU Affero General Public License, section 13, concerning interaction network apply combination .","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/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 General Public License","text":"Free Software Foundation may publish revised /new versions GNU 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 General Public License “later version” applies , option following terms conditions either numbered version later version published Free Software Foundation. Program specify version number GNU General Public License, may choose version ever published Free Software Foundation. Program specifies proxy can decide future versions GNU 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/REDCapCAST/LICENSE.html","id":"id_15-disclaimer-of-warranty","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"15. Disclaimer of Warranty","title":"GNU 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/REDCapCAST/LICENSE.html","id":"id_16-limitation-of-liability","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"16. Limitation of Liability","title":"GNU 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/REDCapCAST/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 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/REDCapCAST/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 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. program terminal interaction, make output short notice like starts interactive mode: hypothetical commands show w show c show appropriate parts General Public License. course, program’s commands might different; GUI interface, use “box”. also get employer (work programmer) school, , sign “copyright disclaimer” program, necessary. information , apply follow GNU GPL, see <http://www.gnu.org/licenses/>. GNU General Public License permit incorporating program proprietary programs. program subroutine library, may consider useful permit linking proprietary applications library. want , use GNU Lesser General Public License instead License. first, please read <http://www.gnu.org/philosophy/--lgpl.html>.","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 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 General Public License for more details.  You should have received a copy of the GNU General Public License along with this program.  If not, see <http://www.gnu.org/licenses/>. <program>  Copyright (C) <year>  <name of author> This program comes with ABSOLUTELY NO WARRANTY; for details type 'show w'. This is free software, and you are welcome to redistribute it under certain conditions; type 'show c' for details."},{"path":"https://agdamsbo.github.io/REDCapCAST/articles/Introduction.html","id":"splitting-the-dataset","dir":"Articles","previous_headings":"","what":"Splitting the dataset","title":"Introduction","text":"","code":"redcapcast_data |> gt::gt() redcapcast_meta |> gt::gt() list <-   REDCap_split(records = redcapcast_data,                            metadata = redcapcast_meta,                            forms = \"repeating\")|> sanitize_split() str(list) #> List of 2 #>  $          : tibble [10 × 17] (S3: tbl_df/tbl/data.frame) #>   ..$ record_id                   : num [1:10] 1 2 2 3 3 3 4 4 5 6 #>   ..$ redcap_event_name           : chr [1:10] \"inclusion\" \"inclusion\" \"follow1\" \"inclusion\" ... #>   ..$ cpr                         : chr [1:10] \"1203401OB4\" \"0102342303\" NA \"2301569823\" ... #>   ..$ inclusion                   : Date[1:10], format: \"2023-03-13\" \"2023-03-01\" ... #>   ..$ dob                         : Date[1:10], format: \"1940-03-12\" \"1934-02-01\" ... #>   ..$ age                         : num [1:10] 83 89.1 NA 66.1 NA ... #>   ..$ age_integer                 : num [1:10] 83 89 NA 66 NA NA 117 NA 126 91 #>   ..$ sex                         : chr [1:10] \"female\" \"male\" NA \"male\" ... #>   ..$ cohabitation                : chr [1:10] \"Yes\" \"Yes\" NA \"No\" ... #>   ..$ hypertension                : chr [1:10] \"No\" \"No\" NA \"Yes\" ... #>   ..$ diabetes                    : chr [1:10] \"Yes\" \"No\" NA \"Yes\" ... #>   ..$ region                      : chr [1:10] \"East\" \"South\" NA \"North\" ... #>   ..$ baseline_data_start_complete: chr [1:10] \"Incomplete\" \"Incomplete\" NA \"Incomplete\" ... #>   ..$ mrs_assessed                : chr [1:10] \"Yes\" \"Yes\" \"Yes\" NA ... #>   ..$ mrs_date                    : Date[1:10], format: \"2023-03-13\" \"2023-03-07\" ... #>   ..$ mrs_score                   : num [1:10] 1 1 3 NA 2 1 NA NA NA NA #>   ..$ mrs_complete                : chr [1:10] \"Incomplete\" \"Incomplete\" \"Incomplete\" \"Incomplete\" ... #>  $ new_event: tibble [9 × 6] (S3: tbl_df/tbl/data.frame) #>   ..$ record_id               : num [1:9] 2 3 3 3 3 3 4 4 4 #>   ..$ redcap_event_name       : chr [1:9] \"follow1\" \"follow1\" \"follow1\" \"follow2\" ... #>   ..$ redcap_repeat_instrument: chr [1:9] \"new_event\" \"new_event\" \"new_event\" \"new_event\" ... #>   ..$ redcap_repeat_instance  : num [1:9] 1 1 2 1 2 3 1 2 3 #>   ..$ event_type              : chr [1:9] \"TIA\" \"AIS\" \"ICH\" \"ICH\" ... #>   ..$ new_event_complete      : chr [1:9] \"Incomplete\" \"Incomplete\" \"Incomplete\" \"Incomplete\" ... list <-   REDCap_split(records = redcapcast_data,                            metadata = redcapcast_meta,                            forms = \"all\") |> sanitize_split() str(list) #> List of 3 #>  $ baseline_data_start: tibble [6 × 13] (S3: tbl_df/tbl/data.frame) #>   ..$ record_id                   : num [1:6] 1 2 3 4 5 6 #>   ..$ redcap_event_name           : chr [1:6] \"inclusion\" \"inclusion\" \"inclusion\" \"inclusion\" ... #>   ..$ cpr                         : chr [1:6] \"1203401OB4\" \"0102342303\" \"2301569823\" \"0204051342\" ... #>   ..$ inclusion                   : Date[1:6], format: \"2023-03-13\" \"2023-03-01\" ... #>   ..$ dob                         : Date[1:6], format: \"1940-03-12\" \"1934-02-01\" ... #>   ..$ age                         : num [1:6] 83 89.1 66.1 117.9 126.2 ... #>   ..$ age_integer                 : num [1:6] 83 89 66 117 126 91 #>   ..$ sex                         : chr [1:6] \"female\" \"male\" \"male\" \"female\" ... #>   ..$ cohabitation                : chr [1:6] \"Yes\" \"Yes\" \"No\" NA ... #>   ..$ hypertension                : chr [1:6] \"No\" \"No\" \"Yes\" NA ... #>   ..$ diabetes                    : chr [1:6] \"Yes\" \"No\" \"Yes\" NA ... #>   ..$ region                      : chr [1:6] \"East\" \"South\" \"North\" NA ... #>   ..$ baseline_data_start_complete: chr [1:6] \"Incomplete\" \"Incomplete\" \"Incomplete\" \"Incomplete\" ... #>  $ mrs                : tibble [5 × 6] (S3: tbl_df/tbl/data.frame) #>   ..$ record_id        : num [1:5] 1 2 2 3 3 #>   ..$ redcap_event_name: chr [1:5] \"inclusion\" \"inclusion\" \"follow1\" \"follow1\" ... #>   ..$ mrs_assessed     : chr [1:5] \"Yes\" \"Yes\" \"Yes\" \"Yes\" ... #>   ..$ mrs_date         : Date[1:5], format: \"2023-03-13\" \"2023-03-07\" ... #>   ..$ mrs_score        : num [1:5] 1 1 3 2 1 #>   ..$ mrs_complete     : chr [1:5] \"Incomplete\" \"Incomplete\" \"Incomplete\" \"Incomplete\" ... #>  $ new_event          : tibble [9 × 6] (S3: tbl_df/tbl/data.frame) #>   ..$ record_id               : num [1:9] 2 3 3 3 3 3 4 4 4 #>   ..$ redcap_event_name       : chr [1:9] \"follow1\" \"follow1\" \"follow1\" \"follow2\" ... #>   ..$ redcap_repeat_instrument: chr [1:9] \"new_event\" \"new_event\" \"new_event\" \"new_event\" ... #>   ..$ redcap_repeat_instance  : num [1:9] 1 1 2 1 2 3 1 2 3 #>   ..$ event_type              : chr [1:9] \"TIA\" \"AIS\" \"ICH\" \"ICH\" ... #>   ..$ new_event_complete      : chr [1:9] \"Incomplete\" \"Incomplete\" \"Incomplete\" \"Incomplete\" ..."},{"path":"https://agdamsbo.github.io/REDCapCAST/articles/Introduction.html","id":"reading-data-from-redcap","dir":"Articles","previous_headings":"","what":"Reading data from REDCap","title":"Introduction","text":"function wraps demonstrated function get dataset, metadata, apply REDCap_splitfunction bit cleaning. just cuts outs steps easier approach. function works similar REDCapR::redcap_read() allowing specify fields, events forms export instead exporting whole database filtering afterwards. believe better safer, focused approach.","code":"# read_redcap_tables(uri = \"YOUR URI\", token = \"YOUR TOKEN\")"},{"path":"https://agdamsbo.github.io/REDCapCAST/articles/Introduction.html","id":"pivotting-to-wider-format","dir":"Articles","previous_headings":"","what":"Pivotting to wider format","title":"Introduction","text":"","code":"redcap_wider(list) |> str() #> Joining with `by = join_by(record_id)` #> Joining with `by = join_by(record_id)` #> 'data.frame':    6 obs. of  36 variables: #>  $ record_id                   : num  1 2 3 4 5 6 #>  $ cpr                         : chr  \"1203401OB4\" \"0102342303\" \"2301569823\" \"0204051342\" ... #>  $ inclusion                   : Date, format: \"2023-03-13\" \"2023-03-01\" ... #>  $ dob                         : Date, format: \"1940-03-12\" \"1934-02-01\" ... #>  $ age                         : num  83 89.1 66.1 117.9 126.2 ... #>  $ age_integer                 : num  83 89 66 117 126 91 #>  $ sex                         : chr  \"female\" \"male\" \"male\" \"female\" ... #>  $ cohabitation                : chr  \"Yes\" \"Yes\" \"No\" NA ... #>  $ hypertension                : chr  \"No\" \"No\" \"Yes\" NA ... #>  $ diabetes                    : chr  \"Yes\" \"No\" \"Yes\" NA ... #>  $ region                      : chr  \"East\" \"South\" \"North\" NA ... #>  $ baseline_data_start_complete: chr  \"Incomplete\" \"Incomplete\" \"Incomplete\" \"Incomplete\" ... #>  $ mrs_assessed_inclusion      : chr  \"Yes\" \"Yes\" NA NA ... #>  $ mrs_assessed_follow1        : chr  NA \"Yes\" \"Yes\" NA ... #>  $ mrs_assessed_follow2        : chr  NA NA \"Yes\" NA ... #>  $ mrs_date_inclusion          : Date, format: \"2023-03-13\" \"2023-03-07\" ... #>  $ mrs_date_follow1            : Date, format: NA \"2023-03-09\" ... #>  $ mrs_date_follow2            : Date, format: NA NA ... #>  $ mrs_score_inclusion         : num  1 1 NA NA NA NA #>  $ mrs_score_follow1           : num  NA 3 2 NA NA NA #>  $ mrs_score_follow2           : num  NA NA 1 NA NA NA #>  $ mrs_complete_inclusion      : chr  \"Incomplete\" \"Incomplete\" NA NA ... #>  $ mrs_complete_follow1        : chr  NA \"Incomplete\" \"Incomplete\" NA ... #>  $ mrs_complete_follow2        : chr  NA NA \"Incomplete\" NA ... #>  $ event_type_1_follow1        : chr  NA \"TIA\" \"AIS\" NA ... #>  $ event_type_1_follow2        : chr  NA NA \"ICH\" \"AIS\" ... #>  $ new_event_complete_1_follow1: chr  NA \"Incomplete\" \"Incomplete\" NA ... #>  $ new_event_complete_1_follow2: chr  NA NA \"Incomplete\" \"Complete\" ... #>  $ event_type_2_follow1        : chr  NA NA \"ICH\" NA ... #>  $ event_type_2_follow2        : chr  NA NA \"TIA\" \"ICH\" ... #>  $ event_type_3_follow1        : chr  NA NA NA NA ... #>  $ event_type_3_follow2        : chr  NA NA \"AIS\" \"Unknown\" ... #>  $ new_event_complete_2_follow1: chr  NA NA \"Incomplete\" NA ... #>  $ new_event_complete_2_follow2: chr  NA NA \"Incomplete\" \"Incomplete\" ... #>  $ new_event_complete_3_follow1: chr  NA NA NA NA ... #>  $ new_event_complete_3_follow2: chr  NA NA \"Incomplete\" \"Complete\" ..."},{"path":"https://agdamsbo.github.io/REDCapCAST/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Andreas Gammelgaard Damsbo. Author, maintainer. Paul Egeler. Author.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Damsbo , Egeler P (2024). REDCapCAST: REDCap Castellated Data Handling. R package version 24.2.1, https://agdamsbo.github.io/REDCapCAST/, https://github.com/agdamsbo/REDCapCAST.","code":"@Manual{,   title = {REDCapCAST: REDCap Castellated Data Handling},   author = {Andreas Gammelgaard Damsbo and Paul Egeler},   year = {2024},   note = {R package version 24.2.1, https://agdamsbo.github.io/REDCapCAST/},   url = {https://github.com/agdamsbo/REDCapCAST}, }"},{"path":"https://agdamsbo.github.io/REDCapCAST/index.html","id":"redcapcast-package-","dir":"","previous_headings":"","what":"REDCap Castellated Data Handling","title":"REDCap Castellated Data Handling","text":"REDCap Castellated data handling using repeated instruments. package fork pegeler/REDCapRITS. REDCapRITS represents great extensive work handle castellated REDCap data different programming languages. fork purely minded R usage includes implementations main REDCap_split function. main goal project allow “minimal data” approach allowing filter records, instruments variables export download data needed. think approach desireable handling sensitive, clinical data. similar functionality available similar tools (like REDCapR REDCapTidieR). Please refer REDCap-Tools great tools.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/index.html","id":"use-and-immprovements","dir":"","previous_headings":"","what":"Use and immprovements","title":"REDCap Castellated Data Handling","text":"package primarily relevant working longitudinal projects /projects using repeated instruments. just short descirption main functions: REDcap_split(): Works largely original REDCapRITS::REDCap_split(). takes REDCap dataset metadata (data dictionary) split data set list dataframes instruments. read_redcap_tables(): wraps use REDCapR::redcap_read() REDCap_split() ease export REDCap data. redcap_wider(): pivots data frame repeated instruments wide format utilizing tidyr::pivot_wider() tidyverse. easy_redcap(): combines secure API key storage keyring-package, focused data retrieval optional widening. recommended approach easy data access analysis. Compared original REDCapRITS, matching functions improved accept column naming REDCap data manual download API export.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/index.html","id":"future","dir":"","previous_headings":"","what":"Future","title":"REDCap Castellated Data Handling","text":"plan package bundled Handbook working REDCap R. plan also include functionality assist casting (yes, pun intended) initial REDCap database.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/index.html","id":"installation","dir":"","previous_headings":"","what":"Installation","title":"REDCap Castellated Data Handling","text":"package available CRAN. Install latest version: Install latest version directly GitHub:","code":"install.packages(\"REDCapCAST\") remotes::install_github(\"agdamsbo/REDCapCAST\")"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/REDCap_split.html","id":null,"dir":"Reference","previous_headings":"","what":"Split REDCap repeating instruments table into multiple tables — REDCap_split","title":"Split REDCap repeating instruments table into multiple tables — REDCap_split","text":"take output REDCap export split base table child tables repeating instrument. Metadata used determine fields included resultant table.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/REDCap_split.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Split REDCap repeating instruments table into multiple tables — REDCap_split","text":"","code":"REDCap_split(   records,   metadata,   primary_table_name = \"\",   forms = c(\"repeating\", \"all\") )"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/REDCap_split.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Split REDCap repeating instruments table into multiple tables — REDCap_split","text":"records Exported project records. May data.frame, response, character vector containing JSON API call. metadata Project metadata (data dictionary). May data.frame, response, character vector containing JSON API call. primary_table_name Name given list element primary output table (described README.md). Ignored forms = ''. forms Indicate whether create separate tables repeating instruments forms.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/REDCap_split.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Split REDCap repeating instruments table into multiple tables — REDCap_split","text":"list \"data.frame\"s. number tables differ   depending forms option selected.  'repeating': one base table one     tables repeating instrument. '': data.frame instrument, regardless     whether repeating instrument .","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/REDCap_split.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Split REDCap repeating instruments table into multiple tables — REDCap_split","text":"Paul W. Egeler, M.S., GStat","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/REDCap_split.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Split REDCap repeating instruments table into multiple tables — REDCap_split","text":"","code":"if (FALSE) { # Using an API call -------------------------------------------------------  library(RCurl)  # Get the records records <- postForm(   uri = api_url,     # Supply your site-specific URI   token = api_token, # Supply your own API token   content = 'record',   format = 'json',   returnFormat = 'json' )  # Get the metadata metadata <- postForm(   uri = api_url,     # Supply your site-specific URI   token = api_token, # Supply your own API token   content = 'metadata',   format = 'json' )  # Convert exported JSON strings into a list of data.frames REDCapRITS::REDCap_split(records, metadata)  # Using a raw data export -------------------------------------------------  # Get the records records <- read.csv(\"/path/to/data/ExampleProject_DATA_2018-06-03_1700.csv\")  # Get the metadata metadata <- read.csv( \"/path/to/data/ExampleProject_DataDictionary_2018-06-03.csv\")  # Split the tables REDCapRITS::REDCap_split(records, metadata)  # In conjunction with the R export script ---------------------------------  # You must set the working directory first since the REDCap data export # script contains relative file references. old <- getwd() setwd(\"/path/to/data/\")  # Run the data export script supplied by REDCap. # This will create a data.frame of your records called 'data' source(\"ExampleProject_R_2018-06-03_1700.r\")  # Get the metadatan metadata <- read.csv(\"ExampleProject_DataDictionary_2018-06-03.csv\")  # Split the tables REDCapRITS::REDCap_split(data, metadata) setwd(old) }"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/clean_redcap_name.html","id":null,"dir":"Reference","previous_headings":"","what":"clean_redcap_name — clean_redcap_name","title":"clean_redcap_name — clean_redcap_name","text":"Stepwise removal non-alphanumeric characters, trailing white space, substitutes spaces underscores converts lower case. Trying make different naming conventions.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/clean_redcap_name.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"clean_redcap_name — clean_redcap_name","text":"","code":"clean_redcap_name(x)"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/clean_redcap_name.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"clean_redcap_name — clean_redcap_name","text":"x vector data frame cleaning","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/clean_redcap_name.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"clean_redcap_name — clean_redcap_name","text":"vector data frame, format input","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/d2w.html","id":null,"dir":"Reference","previous_headings":"","what":"Convert single digits to words — d2w","title":"Convert single digits to words — d2w","text":"Convert single digits words","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/d2w.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Convert single digits to words — d2w","text":"","code":"d2w(x, lang = \"en\", neutrum = FALSE, everything = FALSE)"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/d2w.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Convert single digits to words — d2w","text":"x data. Handle vectors, data.frames lists lang language. Danish (da) English (en), Default \"en\" neutrum numbers depending counted word everything flag also split numbers >9 single digits","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/d2w.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Convert single digits to words — d2w","text":"returns characters format input","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/d2w.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Convert single digits to words — d2w","text":"","code":"d2w(c(2:8, 21)) #> [1] \"two\"   \"three\" \"four\"  \"five\"  \"six\"   \"seven\" \"eight\" \"21\"    d2w(data.frame(2:7, 3:8, 1), lang = \"da\", neutrum = TRUE) #>   X2.7 X3.8 X1 #> 1   to  tre et #> 2  tre fire et #> 3 fire  fem et #> 4  fem seks et #> 5 seks  syv et #> 6  syv otte et  ## If everything=T, also larger numbers are reduced. ## Elements in the list are same length as input d2w(list(2:8, c(2, 6, 4, 23), 2), everything = TRUE) #> [[1]] #> [1] \"two\"   \"three\" \"four\"  \"five\"  \"six\"   \"seven\" \"eight\" #>  #> [[2]] #> [1] \"two\"       \"six\"       \"four\"      \"two three\" #>  #> [[3]] #> [1] \"two\" #>"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/ds2dd.html","id":null,"dir":"Reference","previous_headings":"","what":"(DEPRECATED) Data set to data dictionary function — ds2dd","title":"(DEPRECATED) Data set to data dictionary function — ds2dd","text":"Creates basic data dictionary skeleton. Please see `ds2dd_detailed()` advanced function.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/ds2dd.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"(DEPRECATED) Data set to data dictionary function — ds2dd","text":"","code":"ds2dd(   ds,   record.id = \"record_id\",   form.name = \"basis\",   field.type = \"text\",   field.label = NULL,   include.column.names = FALSE,   metadata = metadata_names )"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/ds2dd.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"(DEPRECATED) Data set to data dictionary function — ds2dd","text":"ds data set record.id name column number id variable, moved first row data dictionary, character integer. Default \"record_id\". form.name vector form names, character string, length 1 length equal number variables. Default \"basis\". field.type vector field types, character string, length 1 length equal number variables. Default \"text. field.label vector form names, character string, length 1 length equal number variables. Default NULL identical field names. include.column.names Flag give detailed output including new column names original data set upload. metadata Metadata column names. Default included REDCapCAST::metadata_names.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/ds2dd.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"(DEPRECATED) Data set to data dictionary function — ds2dd","text":"data.frame list data.frame vector","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/ds2dd.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"(DEPRECATED) Data set to data dictionary function — ds2dd","text":"Migrated stRoke ds2dd(). Fits better functionality 'REDCapCAST'.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/ds2dd.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"(DEPRECATED) Data set to data dictionary function — ds2dd","text":"","code":"redcapcast_data$record_id <- seq_len(nrow(redcapcast_data)) ds2dd(redcapcast_data, include.column.names=TRUE) #> $DataDictionary #>                      field_name form_name section_header field_type #> 1                     record_id     basis             NA       text #> 2             redcap_event_name     basis             NA       text #> 3      redcap_repeat_instrument     basis             NA       text #> 4        redcap_repeat_instance     basis             NA       text #> 5                           cpr     basis             NA       text #> 6                     inclusion     basis             NA       text #> 7                inclusion_time     basis             NA       text #> 8                           dob     basis             NA       text #> 9                           age     basis             NA       text #> 10                  age_integer     basis             NA       text #> 11                          sex     basis             NA       text #> 12                 cohabitation     basis             NA       text #> 13                 hypertension     basis             NA       text #> 14                     diabetes     basis             NA       text #> 15                       region     basis             NA       text #> 16 baseline_data_start_complete     basis             NA       text #> 17                 mrs_assessed     basis             NA       text #> 18                     mrs_date     basis             NA       text #> 19                    mrs_score     basis             NA       text #> 20                 mrs_complete     basis             NA       text #> 21               event_datetime     basis             NA       text #> 22                    event_age     basis             NA       text #> 23                   event_type     basis             NA       text #> 24           new_event_complete     basis             NA       text #>                     field_label select_choices_or_calculations field_note #> 1                     record_id                             NA         NA #> 2             redcap_event_name                             NA         NA #> 3      redcap_repeat_instrument                             NA         NA #> 4        redcap_repeat_instance                             NA         NA #> 5                           cpr                             NA         NA #> 6                     inclusion                             NA         NA #> 7                inclusion_time                             NA         NA #> 8                           dob                             NA         NA #> 9                           age                             NA         NA #> 10                  age_integer                             NA         NA #> 11                          sex                             NA         NA #> 12                 cohabitation                             NA         NA #> 13                 hypertension                             NA         NA #> 14                     diabetes                             NA         NA #> 15                       region                             NA         NA #> 16 baseline_data_start_complete                             NA         NA #> 17                 mrs_assessed                             NA         NA #> 18                     mrs_date                             NA         NA #> 19                    mrs_score                             NA         NA #> 20                 mrs_complete                             NA         NA #> 21               event_datetime                             NA         NA #> 22                    event_age                             NA         NA #> 23                   event_type                             NA         NA #> 24           new_event_complete                             NA         NA #>    text_validation_type_or_show_slider_number text_validation_min #> 1                                          NA                  NA #> 2                                          NA                  NA #> 3                                          NA                  NA #> 4                                          NA                  NA #> 5                                          NA                  NA #> 6                                          NA                  NA #> 7                                          NA                  NA #> 8                                          NA                  NA #> 9                                          NA                  NA #> 10                                         NA                  NA #> 11                                         NA                  NA #> 12                                         NA                  NA #> 13                                         NA                  NA #> 14                                         NA                  NA #> 15                                         NA                  NA #> 16                                         NA                  NA #> 17                                         NA                  NA #> 18                                         NA                  NA #> 19                                         NA                  NA #> 20                                         NA                  NA #> 21                                         NA                  NA #> 22                                         NA                  NA #> 23                                         NA                  NA #> 24                                         NA                  NA #>    text_validation_max identifier branching_logic required_field #> 1                   NA         NA              NA             NA #> 2                   NA         NA              NA             NA #> 3                   NA         NA              NA             NA #> 4                   NA         NA              NA             NA #> 5                   NA         NA              NA             NA #> 6                   NA         NA              NA             NA #> 7                   NA         NA              NA             NA #> 8                   NA         NA              NA             NA #> 9                   NA         NA              NA             NA #> 10                  NA         NA              NA             NA #> 11                  NA         NA              NA             NA #> 12                  NA         NA              NA             NA #> 13                  NA         NA              NA             NA #> 14                  NA         NA              NA             NA #> 15                  NA         NA              NA             NA #> 16                  NA         NA              NA             NA #> 17                  NA         NA              NA             NA #> 18                  NA         NA              NA             NA #> 19                  NA         NA              NA             NA #> 20                  NA         NA              NA             NA #> 21                  NA         NA              NA             NA #> 22                  NA         NA              NA             NA #> 23                  NA         NA              NA             NA #> 24                  NA         NA              NA             NA #>    custom_alignment question_number matrix_group_name matrix_ranking #> 1                NA              NA                NA             NA #> 2                NA              NA                NA             NA #> 3                NA              NA                NA             NA #> 4                NA              NA                NA             NA #> 5                NA              NA                NA             NA #> 6                NA              NA                NA             NA #> 7                NA              NA                NA             NA #> 8                NA              NA                NA             NA #> 9                NA              NA                NA             NA #> 10               NA              NA                NA             NA #> 11               NA              NA                NA             NA #> 12               NA              NA                NA             NA #> 13               NA              NA                NA             NA #> 14               NA              NA                NA             NA #> 15               NA              NA                NA             NA #> 16               NA              NA                NA             NA #> 17               NA              NA                NA             NA #> 18               NA              NA                NA             NA #> 19               NA              NA                NA             NA #> 20               NA              NA                NA             NA #> 21               NA              NA                NA             NA #> 22               NA              NA                NA             NA #> 23               NA              NA                NA             NA #> 24               NA              NA                NA             NA #>    field_annotation #> 1                NA #> 2                NA #> 3                NA #> 4                NA #> 5                NA #> 6                NA #> 7                NA #> 8                NA #> 9                NA #> 10               NA #> 11               NA #> 12               NA #> 13               NA #> 14               NA #> 15               NA #> 16               NA #> 17               NA #> 18               NA #> 19               NA #> 20               NA #> 21               NA #> 22               NA #> 23               NA #> 24               NA #>  #> $`Column names` #>  [1] \"record_id\"                    \"redcap_event_name\"            #>  [3] \"redcap_repeat_instrument\"     \"redcap_repeat_instance\"       #>  [5] \"cpr\"                          \"inclusion\"                    #>  [7] \"inclusion_time\"               \"dob\"                          #>  [9] \"age\"                          \"age_integer\"                  #> [11] \"sex\"                          \"cohabitation\"                 #> [13] \"hypertension\"                 \"diabetes\"                     #> [15] \"region\"                       \"baseline_data_start_complete\" #> [17] \"mrs_assessed\"                 \"mrs_date\"                     #> [19] \"mrs_score\"                    \"mrs_complete\"                 #> [21] \"event_datetime\"               \"event_age\"                    #> [23] \"event_type\"                   \"new_event_complete\"           #>"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/ds2dd_detailed.html","id":null,"dir":"Reference","previous_headings":"","what":"Extract data from stata file for data dictionary — ds2dd_detailed","title":"Extract data from stata file for data dictionary — ds2dd_detailed","text":"Extract data stata file data dictionary","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/ds2dd_detailed.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Extract data from stata file for data dictionary — ds2dd_detailed","text":"","code":"ds2dd_detailed(   data,   add.auto.id = FALSE,   date.format = \"dmy\",   form.name = NULL,   field.type = NULL,   field.label = NULL,   field.label.attr = \"label\",   field.validation = NULL,   metadata = metadata_names,   validate.time = FALSE,   time.var.sel.pos = \"[Tt]i[d(me)]\",   time.var.sel.neg = \"[Dd]at[eo]\" )"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/ds2dd_detailed.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Extract data from stata file for data dictionary — ds2dd_detailed","text":"data data frame add.auto.id flag add id column date.format date format, character string. ymd/dmy/mdy. dafault dmy. form.name manually specify form name(s). Vector length 1 ncol(data). Default NULL \"data\" used. field.type manually specify field type(s). Vector length 1 ncol(data). Default NULL \"text\" used everything factors, wil get \"radio\". field.label manually specify field label(s). Vector length 1 ncol(data). Default NULL colnames(data) used attribute `field.label.attr` haven_labelled data set (imported .dta file `haven::read_dta()`). field.label.attr attribute name named labels haven_labelled data set (imported .dta file `haven::read_dta()`. Default \"label\" field.validation manually specify field validation(s). Vector length 1 ncol(data). Default NULL `levels()` used factors attribute `factor.labels.attr` haven_labelled data set (imported .dta file `haven::read_dta()`). metadata redcap metadata headings. Default REDCapCAST:::metadata_names. validate.time Flag validate guessed time columns time.var.sel.pos Positive selection regex string passed `gues_time_only_filter()` sel.pos. time.var.sel.neg Negative selection regex string passed `gues_time_only_filter()` sel.neg.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/ds2dd_detailed.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Extract data from stata file for data dictionary — ds2dd_detailed","text":"list length 2","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/ds2dd_detailed.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Extract data from stata file for data dictionary — ds2dd_detailed","text":"function natural development ds2dd() function. assumes first column ID-column. checks. Please, always inspect data dictionary upload. Ensure, data set formatted much information possible. `field.type` can supplied","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/ds2dd_detailed.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Extract data from stata file for data dictionary — ds2dd_detailed","text":"","code":"data <- redcapcast_data data |> ds2dd_detailed(validate.time = TRUE) #> $is.POSIX #> # A tibble: 19 × 2 #>    inclusion_time event_datetime      #>    <time>         <dttm>              #>  1 12:38:49       NA                  #>  2 10:38:57       NA                  #>  3       NA       NA                  #>  4       NA       2024-01-18 12:49:42 #>  5 12:01:07       NA                  #>  6       NA       NA                  #>  7       NA       NA                  #>  8       NA       2024-01-18 12:49:58 #>  9       NA       2024-01-18 12:50:01 #> 10       NA       2024-01-18 12:50:05 #> 11       NA       2024-01-18 12:50:07 #> 12       NA       2024-01-18 12:50:09 #> 13 20:39:19       NA                  #> 14       NA       NA                  #> 15       NA       2024-01-18 12:50:19 #> 16       NA       2024-01-18 12:50:22 #> 17       NA       2024-01-18 12:50:24 #> 18 08:50:31       NA                  #> 19 08:49:28       NA                  #>  #> $is.datetime #> # A tibble: 19 × 1 #>    event_datetime      #>    <dttm>              #>  1 NA                  #>  2 NA                  #>  3 NA                  #>  4 2024-01-18 12:49:42 #>  5 NA                  #>  6 NA                  #>  7 NA                  #>  8 2024-01-18 12:49:58 #>  9 2024-01-18 12:50:01 #> 10 2024-01-18 12:50:05 #> 11 2024-01-18 12:50:07 #> 12 2024-01-18 12:50:09 #> 13 NA                  #> 14 NA                  #> 15 2024-01-18 12:50:19 #> 16 2024-01-18 12:50:22 #> 17 2024-01-18 12:50:24 #> 18 NA                  #> 19 NA                  #>  #> $is.time_only #> # A tibble: 19 × 1 #>    inclusion_time #>    <time>         #>  1 12:38:49       #>  2 10:38:57       #>  3       NA       #>  4       NA       #>  5 12:01:07       #>  6       NA       #>  7       NA       #>  8       NA       #>  9       NA       #> 10       NA       #> 11       NA       #> 12       NA       #> 13 20:39:19       #> 14       NA       #> 15       NA       #> 16       NA       #> 17       NA       #> 18 08:50:31       #> 19 08:49:28       #>  data |> ds2dd_detailed() #> $data #> # A tibble: 19 × 24 #>    record_id redcap_event_name redcap_repeat_instrument redcap_repeat_instance #>        <dbl> <chr>             <chr>                                     <dbl> #>  1         1 inclusion         NA                                           NA #>  2         2 inclusion         NA                                           NA #>  3         2 follow1           NA                                           NA #>  4         2 follow1           New Event (?)                                 1 #>  5         3 inclusion         NA                                           NA #>  6         3 follow1           NA                                           NA #>  7         3 follow2           NA                                           NA #>  8         3 follow1           New Event (?)                                 1 #>  9         3 follow1           New Event (?)                                 2 #> 10         3 follow2           New Event (?)                                 1 #> 11         3 follow2           New Event (?)                                 2 #> 12         3 follow2           New Event (?)                                 3 #> 13         4 inclusion         NA                                           NA #> 14         4 follow2           NA                                           NA #> 15         4 follow2           New Event (?)                                 1 #> 16         4 follow2           New Event (?)                                 2 #> 17         4 follow2           New Event (?)                                 3 #> 18         5 inclusion         NA                                           NA #> 19         6 inclusion         NA                                           NA #> # ℹ 20 more variables: cpr <chr>, inclusion <date>, inclusion_time <chr>, #> #   dob <date>, age <dbl>, age_integer <dbl>, sex <chr>, cohabitation <chr>, #> #   hypertension <chr>, diabetes <chr>, region <chr>, #> #   baseline_data_start_complete <chr>, mrs_assessed <chr>, mrs_date <date>, #> #   mrs_score <dbl>, mrs_complete <chr>, event_datetime <dttm>, #> #   event_age <lgl>, event_type <chr>, new_event_complete <chr> #>  #> $meta #> # A tibble: 24 × 18 #>    field_name               form_name section_header field_type field_label      #>    <chr>                    <chr>     <lgl>          <chr>      <chr>            #>  1 record_id                data      NA             text       record_id        #>  2 redcap_event_name        data      NA             text       redcap_event_na… #>  3 redcap_repeat_instrument data      NA             text       redcap_repeat_i… #>  4 redcap_repeat_instance   data      NA             text       redcap_repeat_i… #>  5 cpr                      data      NA             text       cpr              #>  6 inclusion                data      NA             text       inclusion        #>  7 inclusion_time           data      NA             text       inclusion_time   #>  8 dob                      data      NA             text       dob              #>  9 age                      data      NA             text       age              #> 10 age_integer              data      NA             text       age_integer      #> # ℹ 14 more rows #> # ℹ 13 more variables: select_choices_or_calculations <lgl>, field_note <lgl>, #> #   text_validation_type_or_show_slider_number <chr>, #> #   text_validation_min <lgl>, text_validation_max <lgl>, identifier <lgl>, #> #   branching_logic <lgl>, required_field <lgl>, custom_alignment <lgl>, #> #   question_number <lgl>, matrix_group_name <lgl>, matrix_ranking <lgl>, #> #   field_annotation <lgl> #>  iris |> ds2dd_detailed(add.auto.id = TRUE) #> A default id column has been added #> $data #> # A tibble: 150 × 6 #>    default_trial_id sepal.length sepal.width petal.length petal.width species #>               <int>        <dbl>       <dbl>        <dbl>       <dbl> <fct>   #>  1                1          5.1         3.5          1.4         0.2 setosa  #>  2                2          4.9         3            1.4         0.2 setosa  #>  3                3          4.7         3.2          1.3         0.2 setosa  #>  4                4          4.6         3.1          1.5         0.2 setosa  #>  5                5          5           3.6          1.4         0.2 setosa  #>  6                6          5.4         3.9          1.7         0.4 setosa  #>  7                7          4.6         3.4          1.4         0.3 setosa  #>  8                8          5           3.4          1.5         0.2 setosa  #>  9                9          4.4         2.9          1.4         0.2 setosa  #> 10               10          4.9         3.1          1.5         0.1 setosa  #> # ℹ 140 more rows #>  #> $meta #> # A tibble: 6 × 18 #>   field_name       form_name section_header field_type field_label      #>   <chr>            <chr>     <lgl>          <chr>      <chr>            #> 1 default_trial_id data      NA             text       default_trial_id #> 2 sepal.length     data      NA             text       Sepal.Length     #> 3 sepal.width      data      NA             text       Sepal.Width      #> 4 petal.length     data      NA             text       Petal.Length     #> 5 petal.width      data      NA             text       Petal.Width      #> 6 species          data      NA             radio      Species          #> # ℹ 13 more variables: select_choices_or_calculations <chr>, field_note <lgl>, #> #   text_validation_type_or_show_slider_number <chr>, #> #   text_validation_min <lgl>, text_validation_max <lgl>, identifier <lgl>, #> #   branching_logic <lgl>, required_field <lgl>, custom_alignment <lgl>, #> #   question_number <lgl>, matrix_group_name <lgl>, matrix_ranking <lgl>, #> #   field_annotation <lgl> #>  mtcars |> ds2dd_detailed(add.auto.id = TRUE) #> A default id column has been added #> $data #> # A tibble: 32 × 12 #>    default_trial_id   mpg   cyl  disp    hp  drat    wt  qsec    vs    am  gear #>               <int> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> #>  1                1  21       6  160    110  3.9   2.62  16.5     0     1     4 #>  2                2  21       6  160    110  3.9   2.88  17.0     0     1     4 #>  3                3  22.8     4  108     93  3.85  2.32  18.6     1     1     4 #>  4                4  21.4     6  258    110  3.08  3.22  19.4     1     0     3 #>  5                5  18.7     8  360    175  3.15  3.44  17.0     0     0     3 #>  6                6  18.1     6  225    105  2.76  3.46  20.2     1     0     3 #>  7                7  14.3     8  360    245  3.21  3.57  15.8     0     0     3 #>  8                8  24.4     4  147.    62  3.69  3.19  20       1     0     4 #>  9                9  22.8     4  141.    95  3.92  3.15  22.9     1     0     4 #> 10               10  19.2     6  168.   123  3.92  3.44  18.3     1     0     4 #> # ℹ 22 more rows #> # ℹ 1 more variable: carb <dbl> #>  #> $meta #> # A tibble: 12 × 18 #>    field_name       form_name section_header field_type field_label      #>    <chr>            <chr>     <lgl>          <chr>      <chr>            #>  1 default_trial_id data      NA             text       default_trial_id #>  2 mpg              data      NA             text       mpg              #>  3 cyl              data      NA             text       cyl              #>  4 disp             data      NA             text       disp             #>  5 hp               data      NA             text       hp               #>  6 drat             data      NA             text       drat             #>  7 wt               data      NA             text       wt               #>  8 qsec             data      NA             text       qsec             #>  9 vs               data      NA             text       vs               #> 10 am               data      NA             text       am               #> 11 gear             data      NA             text       gear             #> 12 carb             data      NA             text       carb             #> # ℹ 13 more variables: select_choices_or_calculations <lgl>, field_note <lgl>, #> #   text_validation_type_or_show_slider_number <chr>, #> #   text_validation_min <lgl>, text_validation_max <lgl>, identifier <lgl>, #> #   branching_logic <lgl>, required_field <lgl>, custom_alignment <lgl>, #> #   question_number <lgl>, matrix_group_name <lgl>, matrix_ranking <lgl>, #> #   field_annotation <lgl> #>"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/ds2ical.html","id":null,"dir":"Reference","previous_headings":"","what":"Convert data set to ical file — ds2ical","title":"Convert data set to ical file — ds2ical","text":"Convert data set ical file","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/ds2ical.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Convert data set to ical file — ds2ical","text":"","code":"ds2ical(   data,   start = start,   end = end,   location = location,   summary.glue.string = \"ID {id} [{assessor}]\",   description.glue.string = NULL )"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/ds2ical.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Convert data set to ical file — ds2ical","text":"data data set start dplyr style event start datetime column name end dplyr style event end datetime column name location dplyr style event location column name summary.glue.string character string pass glue::glue() event name (summary). Can take column data set. description.glue.string character string pass glue::glue() event description. Can take column data set.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/ds2ical.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Convert data set to ical file — ds2ical","text":"tibble class \"ical\"","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/ds2ical.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Convert data set to ical file — ds2ical","text":"","code":"df <- dplyr::tibble(start = c(Sys.time(), Sys.time() + lubridate::days(2)), id = c(\"1\", 3), assessor = \"A\", location = \"111\", note = c(NA, \"OBS\")) |> dplyr::mutate(end= start+lubridate::hours(2)) df |> ds2ical() #> # A tibble: 2 × 5 #>   SUMMARY  DTSTART             DTEND               LOCATION UID                  #>   <glue>   <dttm>              <dttm>              <chr>    <chr>                #> 1 ID 1 [A] 2024-02-06 13:27:42 2024-02-06 15:27:42 111      ical-6058ef88-8df2-… #> 2 ID 3 [A] 2024-02-08 13:27:42 2024-02-08 15:27:42 111      ical-8d9bc2f4-09ef-… df |> ds2ical(summary.glue.string = \"ID {id} [{assessor}] {note}\") #> # A tibble: 2 × 5 #>   SUMMARY      DTSTART             DTEND               LOCATION UID              #>   <glue>       <dttm>              <dttm>              <chr>    <chr>            #> 1 ID 1 [A]     2024-02-06 13:27:42 2024-02-06 15:27:42 111      ical-8be1a95c-5… #> 2 ID 3 [A] OBS 2024-02-08 13:27:42 2024-02-08 15:27:42 111      ical-5a05f23b-f… # Export .ics file: (not run) ical <- df |> ds2ical(start, end, location, description.glue.string = \"{note}\") # ical |> calendar::ic_write(file=here::here(\"calendar.ics\"))"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/easy_redcap.html","id":null,"dir":"Reference","previous_headings":"","what":"Secure API key storage and data acquisition in one — easy_redcap","title":"Secure API key storage and data acquisition in one — easy_redcap","text":"Secure API key storage data acquisition one","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/easy_redcap.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Secure API key storage and data acquisition in one — easy_redcap","text":"","code":"easy_redcap(project.name, widen.data = TRUE, uri, ...)"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/easy_redcap.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Secure API key storage and data acquisition in one — easy_redcap","text":"project.name name current project (key storage `keyring::key_set()`, using default keyring) widen.data argument widen exported data uri REDCap database API uri ... arguments passed `REDCapCAST::read_redcap_tables()`","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/easy_redcap.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Secure API key storage and data acquisition in one — easy_redcap","text":"data.frame list depending widen.data","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/focused_metadata.html","id":null,"dir":"Reference","previous_headings":"","what":"focused_metadata — focused_metadata","title":"focused_metadata — focused_metadata","text":"Extracts limited metadata variables dataset","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/focused_metadata.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"focused_metadata — focused_metadata","text":"","code":"focused_metadata(metadata, vars_in_data)"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/focused_metadata.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"focused_metadata — focused_metadata","text":"metadata dataframe containing metadata vars_in_data Vector variable names dataset","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/focused_metadata.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"focused_metadata — focused_metadata","text":"dataframe containing metadata variables dataset","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/get_api_key.html","id":null,"dir":"Reference","previous_headings":"","what":"Retrieve project API key if stored, if not, set and retrieve — get_api_key","title":"Retrieve project API key if stored, if not, set and retrieve — get_api_key","text":"Retrieve project API key stored, , set retrieve","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/get_api_key.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Retrieve project API key if stored, if not, set and retrieve — get_api_key","text":"","code":"get_api_key(key.name)"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/get_api_key.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Retrieve project API key if stored, if not, set and retrieve — get_api_key","text":"key.name character vector key name","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/get_api_key.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Retrieve project API key if stored, if not, set and retrieve — get_api_key","text":"character vector","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/get_id_name.html","id":null,"dir":"Reference","previous_headings":"","what":"Get the id name — get_id_name","title":"Get the id name — get_id_name","text":"Get id name","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/get_id_name.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get the id name — get_id_name","text":"","code":"get_id_name(data)"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/get_id_name.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get the id name — get_id_name","text":"data data frame list","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/get_id_name.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get the id name — get_id_name","text":"character vector","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/guess_time_only_filter.html","id":null,"dir":"Reference","previous_headings":"","what":"Try at determining which are true time only variables — guess_time_only_filter","title":"Try at determining which are true time only variables — guess_time_only_filter","text":"just try guessing data type based data class column names hoping tiny bit naming consistency. R include time-data format natively, \"hms\" class `readr` used. converted character class REDCap upload.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/guess_time_only_filter.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Try at determining which are true time only variables — guess_time_only_filter","text":"","code":"guess_time_only_filter(   data,   validate = FALSE,   sel.pos = \"[Tt]i[d(me)]\",   sel.neg = \"[Dd]at[eo]\" )"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/guess_time_only_filter.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Try at determining which are true time only variables — guess_time_only_filter","text":"data data set validate flag output validation data. output list. sel.pos Positive selection regex string sel.neg Negative selection regex string","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/guess_time_only_filter.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Try at determining which are true time only variables — guess_time_only_filter","text":"character vector list depending `validate` flag.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/guess_time_only_filter.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Try at determining which are true time only variables — guess_time_only_filter","text":"","code":"data <- redcapcast_data data |> guess_time_only_filter() #> [1] \"inclusion_time\" data |> guess_time_only_filter(validate = TRUE) |> lapply(head) #> $is.POSIX #> # A tibble: 6 × 2 #>   inclusion_time event_datetime      #>   <time>         <dttm>              #> 1 12:38:49       NA                  #> 2 10:38:57       NA                  #> 3       NA       NA                  #> 4       NA       2024-01-18 12:49:42 #> 5 12:01:07       NA                  #> 6       NA       NA                  #>  #> $is.datetime #> # A tibble: 6 × 1 #>   event_datetime      #>   <dttm>              #> 1 NA                  #> 2 NA                  #> 3 NA                  #> 4 2024-01-18 12:49:42 #> 5 NA                  #> 6 NA                  #>  #> $is.time_only #> # A tibble: 6 × 1 #>   inclusion_time #>   <time>         #> 1 12:38:49       #> 2 10:38:57       #> 3       NA       #> 4       NA       #> 5 12:01:07       #> 6       NA       #>"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/hms2character.html","id":null,"dir":"Reference","previous_headings":"","what":"Change ","title":"Change ","text":"Change \"hms\" \"character\" REDCap upload.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/hms2character.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Change ","text":"","code":"hms2character(data)"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/hms2character.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Change ","text":"data data set","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/hms2character.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Change ","text":"data.frame tibble","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/hms2character.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Change ","text":"","code":"data <- redcapcast_data ## data |> time_only_correction() |> hms2character()"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/is.repeated_longitudinal.html","id":null,"dir":"Reference","previous_headings":"","what":"Test if repeatable or longitudinal — is.repeated_longitudinal","title":"Test if repeatable or longitudinal — is.repeated_longitudinal","text":"Test repeatable longitudinal","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/is.repeated_longitudinal.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Test if repeatable or longitudinal — is.repeated_longitudinal","text":"","code":"is.repeated_longitudinal(   data,   generics = c(\"redcap_event_name\", \"redcap_repeat_instrument\", \"redcap_repeat_instance\") )"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/is.repeated_longitudinal.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Test if repeatable or longitudinal — is.repeated_longitudinal","text":"data data set generics default \"redcap_event_name\", \"redcap_repeat_instrument\" \"redcap_repeat_instance\"","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/is.repeated_longitudinal.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Test if repeatable or longitudinal — is.repeated_longitudinal","text":"logical","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/is.repeated_longitudinal.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Test if repeatable or longitudinal — is.repeated_longitudinal","text":"","code":"is.repeated_longitudinal(c(\"record_id\", \"age\", \"record_id\", \"gender\")) #> Error in is.repeated_longitudinal(c(\"record_id\", \"age\", \"record_id\", \"gender\")): could not find function \"is.repeated_longitudinal\" is.repeated_longitudinal(redcapcast_data) #> Error in is.repeated_longitudinal(redcapcast_data): could not find function \"is.repeated_longitudinal\" is.repeated_longitudinal(list(redcapcast_data)) #> Error in is.repeated_longitudinal(list(redcapcast_data)): could not find function \"is.repeated_longitudinal\""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/mark_complete.html","id":null,"dir":"Reference","previous_headings":"","what":"Completion marking based on completed upload — mark_complete","title":"Completion marking based on completed upload — mark_complete","text":"Completion marking based completed upload","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/mark_complete.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Completion marking based on completed upload — mark_complete","text":"","code":"mark_complete(upload, ls)"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/mark_complete.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Completion marking based on completed upload — mark_complete","text":"upload output list `REDCapR::redcap_write()` ls output list `ds2dd_detailed()`","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/mark_complete.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Completion marking based on completed upload — mark_complete","text":"list `REDCapR::redcap_write()` results","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/match_fields_to_form.html","id":null,"dir":"Reference","previous_headings":"","what":"Match fields to forms — match_fields_to_form","title":"Match fields to forms — match_fields_to_form","text":"Match fields forms","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/match_fields_to_form.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Match fields to forms — match_fields_to_form","text":"","code":"match_fields_to_form(metadata, vars_in_data)"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/match_fields_to_form.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Match fields to forms — match_fields_to_form","text":"metadata data frame containing field names form names vars_in_data character vector variable names","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/match_fields_to_form.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Match fields to forms — match_fields_to_form","text":"data frame containing field names form names","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/read_redcap_instrument.html","id":null,"dir":"Reference","previous_headings":"","what":"Convenience function to download complete instrument, using token storage in keyring. — read_redcap_instrument","title":"Convenience function to download complete instrument, using token storage in keyring. — read_redcap_instrument","text":"Convenience function download complete instrument, using token storage keyring.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/read_redcap_instrument.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Convenience function to download complete instrument, using token storage in keyring. — read_redcap_instrument","text":"","code":"read_redcap_instrument(   key,   uri,   instrument,   raw_or_label = \"raw\",   id_name = \"record_id\",   records = NULL )"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/read_redcap_instrument.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Convenience function to download complete instrument, using token storage in keyring. — read_redcap_instrument","text":"key key name standard keyring token retrieval. uri REDCap database API uri instrument instrument name raw_or_label raw label passed `REDCapR::redcap_read()` id_name id variable name. Default \"record_id\". records specify records download. Index numbers. Numeric vector.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/read_redcap_instrument.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Convenience function to download complete instrument, using token storage in keyring. — read_redcap_instrument","text":"data.frame","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/read_redcap_tables.html","id":null,"dir":"Reference","previous_headings":"","what":"Download REDCap data — read_redcap_tables","title":"Download REDCap data — read_redcap_tables","text":"Implementation REDCap_split focused data acquisition approach using REDCapR::redcap_read downloading specified fields, forms /events using built-focused_metadata including clean-. Works classical longitudinal projects without repeating instruments.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/read_redcap_tables.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Download REDCap data — read_redcap_tables","text":"","code":"read_redcap_tables(   uri,   token,   records = NULL,   fields = NULL,   events = NULL,   forms = NULL,   raw_or_label = \"label\",   split_forms = \"all\" )"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/read_redcap_tables.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Download REDCap data — read_redcap_tables","text":"uri REDCap database API uri token API token records records download fields fields download events events download forms forms download raw_or_label raw label tags split_forms Whether split \"repeating\" \"\" forms, default . generics vector auto-generated generic variable names ignore discarding empty rows","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/read_redcap_tables.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Download REDCap data — read_redcap_tables","text":"list instruments","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/read_redcap_tables.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Download REDCap data — read_redcap_tables","text":"","code":"# Examples will be provided later"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/redcap_wider.html","id":null,"dir":"Reference","previous_headings":"","what":"Redcap Wider — redcap_wider","title":"Redcap Wider — redcap_wider","text":"Converts list REDCap data frames long wide format. Handles longitudinal projects, yet repeated instruments.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/redcap_wider.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Redcap Wider — redcap_wider","text":"","code":"redcap_wider(   data,   event.glue = \"{.value}_{redcap_event_name}\",   inst.glue = \"{.value}_{redcap_repeat_instance}\" )"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/redcap_wider.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Redcap Wider — redcap_wider","text":"data list data frames. event.glue dplyr::glue string repeated events naming inst.glue dplyr::glue string repeated instruments naming","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/redcap_wider.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Redcap Wider — redcap_wider","text":"list data frames wide format.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/redcap_wider.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Redcap Wider — redcap_wider","text":"","code":"# Longitudinal list1 <- list(data.frame(record_id = c(1,2,1,2), redcap_event_name = c(\"baseline\", \"baseline\", \"followup\", \"followup\"), age = c(25,26,27,28)), data.frame(record_id = c(1,2), redcap_event_name = c(\"baseline\", \"baseline\"), gender = c(\"male\", \"female\"))) redcap_wider(list1) #> Joining with `by = join_by(record_id)` #>   record_id age_baseline age_followup gender #> 1         1           25           27   male #> 2         2           26           28 female # Simpel with two instruments list2 <- list(data.frame(record_id = c(1,2), age = c(25,26)), data.frame(record_id = c(1,2), gender = c(\"male\", \"female\"))) redcap_wider(list2) #> Joining with `by = join_by(record_id)` #>   record_id age gender #> 1         1  25   male #> 2         2  26 female # Simple with single instrument list3 <- list(data.frame(record_id = c(1,2), age = c(25,26))) redcap_wider(list3) #>   record_id age #> 1         1  25 #> 2         2  26 # Longitudinal with repeatable instruments list4 <- list(data.frame(record_id = c(1,2,1,2), redcap_event_name = c(\"baseline\", \"baseline\", \"followup\", \"followup\"), age = c(25,26,27,28)), data.frame(record_id = c(1,1,1,1,2,2,2,2), redcap_event_name = c(\"baseline\", \"baseline\", \"followup\", \"followup\", \"baseline\", \"baseline\", \"followup\", \"followup\"), redcap_repeat_instrument = \"walk\", redcap_repeat_instance=c(1,2,1,2,1,2,1,2), dist = c(40, 32, 25, 33, 28, 24, 23, 36)), data.frame(record_id = c(1,2), redcap_event_name = c(\"baseline\", \"baseline\"), gender = c(\"male\", \"female\"))) redcap_wider(list4) #> Joining with `by = join_by(record_id)` #> Joining with `by = join_by(record_id)` #>   record_id age_baseline age_followup dist_1_baseline dist_1_followup #> 1         1           25           27              40              25 #> 2         2           26           28              28              23 #>   dist_2_baseline dist_2_followup gender #> 1              32              33   male #> 2              24              36 female"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/redcapcast_data.html","id":null,"dir":"Reference","previous_headings":"","what":"Data set for demonstration — redcapcast_data","title":"Data set for demonstration — redcapcast_data","text":"small dataset REDCap database demonstrational purposes. Contains synthetic data.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/redcapcast_data.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Data set for demonstration — redcapcast_data","text":"","code":"data(redcapcast_data)"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/redcapcast_data.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Data set for demonstration — redcapcast_data","text":"data frame 22 variables: record_id ID, numeric redcap_event_name Event name, character redcap_repeat_instrument Repeat instrument, character redcap_repeat_instance Repeat instance, numeric cpr CPR number, character inclusion Inclusion date, Date inclusion_time Inclusion time, hms dob Date birth, Date age Age decimal, numeric age_integer Age integer, numeric sex Legal sex, character cohabitation Cohabitation status, character hypertension Hypertension, character diabetes diabetes, character region region, character baseline_data_start_complete Completed, character mrs_assessed mRS Assessed, character mrs_date Assesment date, Date mrs_score Categorical score, numeric mrs_complete Complete, numeric event_datetime Event datetime, POSIXct event_type Event type, character new_event_complete Completed, character","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/redcapcast_meta.html","id":null,"dir":"Reference","previous_headings":"","what":"REDCap metadata from data base — redcapcast_meta","title":"REDCap metadata from data base — redcapcast_meta","text":"metadata dataset REDCap database demonstrational purposes.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/redcapcast_meta.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"REDCap metadata from data base — redcapcast_meta","text":"","code":"data(redcapcast_meta)"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/redcapcast_meta.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"REDCap metadata from data base — redcapcast_meta","text":"data frame 22 variables: field_name field_name, character form_name form_name, character section_header section_header, character field_type field_type, character field_label field_label, character select_choices_or_calculations select_choices_or_calculations, character field_note field_note, character text_validation_type_or_show_slider_number text_validation_type_or_show_slider_number, character text_validation_min text_validation_min, character text_validation_max text_validation_max, character identifier identifier, character branching_logic branching_logic, character required_field required_field, character custom_alignment custom_alignment, character question_number question_number, character matrix_group_name matrix_group_name, character matrix_ranking matrix_ranking, character field_annotation field_annotation, character","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/sanitize_split.html","id":null,"dir":"Reference","previous_headings":"","what":"Sanitize list of data frames — sanitize_split","title":"Sanitize list of data frames — sanitize_split","text":"Removing empty rows","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/sanitize_split.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Sanitize list of data frames — sanitize_split","text":"","code":"sanitize_split(   l,   generic.names = c(\"redcap_event_name\", \"redcap_repeat_instrument\",     \"redcap_repeat_instance\") )"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/sanitize_split.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Sanitize list of data frames — sanitize_split","text":"l list data frames. generic.names vector generic names excluded.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/sanitize_split.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Sanitize list of data frames — sanitize_split","text":"list data frames generic names excluded.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/split_non_repeating_forms.html","id":null,"dir":"Reference","previous_headings":"","what":"Split a data frame into separate tables for each form — split_non_repeating_forms","title":"Split a data frame into separate tables for each form — split_non_repeating_forms","text":"Split data frame separate tables form","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/split_non_repeating_forms.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Split a data frame into separate tables for each form — split_non_repeating_forms","text":"","code":"split_non_repeating_forms(table, universal_fields, fields)"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/split_non_repeating_forms.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Split a data frame into separate tables for each form — split_non_repeating_forms","text":"table data frame universal_fields character vector fields included every table fields two-column matrix containing names fields included form","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/split_non_repeating_forms.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Split a data frame into separate tables for each form — split_non_repeating_forms","text":"list data frames, one non-repeating form","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/split_non_repeating_forms.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Split a data frame into separate tables for each form — split_non_repeating_forms","text":"","code":"# Create a table table <- data.frame(   id = c(1, 2, 3, 4, 5),   form_a_name = c(\"John\", \"Alice\", \"Bob\", \"Eve\", \"Mallory\"),   form_a_age = c(25, 30, 25, 15, 20),   form_b_name = c(\"John\", \"Alice\", \"Bob\", \"Eve\", \"Mallory\"),   form_b_gender = c(\"M\", \"F\", \"M\", \"F\", \"F\") )  # Create the universal fields universal_fields <- c(\"id\")  # Create the fields fields <- matrix(   c(     \"form_a_name\", \"form_a\",     \"form_a_age\", \"form_a\",     \"form_b_name\", \"form_b\",     \"form_b_gender\", \"form_b\"   ),   ncol = 2, byrow = TRUE )  # Split the table split_non_repeating_forms(table, universal_fields, fields) #> $form_a_age #>   id #> 1  1 #> 2  2 #> 3  3 #> 4  4 #> 5  5 #>"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/strsplitx.html","id":null,"dir":"Reference","previous_headings":"","what":"Extended string splitting — strsplitx","title":"Extended string splitting — strsplitx","text":"Can used substitute base function. Main claim fame easing split around defined delimiter, see example.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/strsplitx.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Extended string splitting — strsplitx","text":"","code":"strsplitx(x, split, type = \"classic\", perl = FALSE, ...)"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/strsplitx.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Extended string splitting — strsplitx","text":"x data split delimiter type Split type. Can c(\"classic\", \"\", \"\", \"around\") perl perl param strsplit() ... additional parameters passed base strsplit handling splits","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/strsplitx.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Extended string splitting — strsplitx","text":"list","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/strsplitx.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Extended string splitting — strsplitx","text":"","code":"test <- c(\"12 months follow-up\", \"3 steps\", \"mRS 6 weeks\", \"Counting to 231 now\") strsplitx(test, \"[0-9]\", type = \"around\") #> [[1]] #> [1] \"1\"                 \"2\"                 \" months follow-up\" #>  #> [[2]] #> [1] \"3\"      \" steps\" #>  #> [[3]] #> [1] \"mRS \"   \"6\"      \" weeks\" #>  #> [[4]] #> [1] \"Counting to \" \"2\"            \"3\"            \"1\"            \" now\"         #>"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/time_only_correction.html","id":null,"dir":"Reference","previous_headings":"","what":"Correction based on time_only_filter function. Introduces new class for easier\nvalidation labelling. — time_only_correction","title":"Correction based on time_only_filter function. Introduces new class for easier\nvalidation labelling. — time_only_correction","text":"Dependens data class \"hms\" introduced `guess_time_only_filter()` converts ","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/time_only_correction.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Correction based on time_only_filter function. Introduces new class for easier\nvalidation labelling. — time_only_correction","text":"","code":"time_only_correction(data, ...)"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/time_only_correction.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Correction based on time_only_filter function. Introduces new class for easier\nvalidation labelling. — time_only_correction","text":"data data set ... arguments passed `guess_time_only_filter()`","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/time_only_correction.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Correction based on time_only_filter function. Introduces new class for easier\nvalidation labelling. — time_only_correction","text":"tibble","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/time_only_correction.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Correction based on time_only_filter function. Introduces new class for easier\nvalidation labelling. — time_only_correction","text":"","code":"data <- redcapcast_data ## data |> time_only_correction()"},{"path":[]},{"path":"https://agdamsbo.github.io/REDCapCAST/news/index.html","id":"functions-24-2-1","dir":"Changelog","previous_headings":"","what":"Functions","title":"REDCapCAST 24.2.1","text":"Fix: ds2dd(): uses correct default dd column names. deprecated. Fix: easy_redcap(): fixed actually allow project naming. also specifically asks uri. Fix: read_redcap_tables(): now handles non-longitudinal project without repeatable instruments. NEW: ds2dd_detailed(): extension ds2dd(), serves preserve much metadata possible automatically. Depends group helper functions also introduced. special note guess_time_only_filter(), try guess columns/variables formatted time formats. Supports hms time format. DETAILED INSTRUCTION VIGNETTE PENDING. NEW: read_redcap_instrument() convenience function retrieve complete instrument. Goes little focused approach. DETAILED INSTRUCTION PENDING. NEW: ds2ical() converts data set ical format easy glue string summary description. Export .ics file calendar::ic_write().","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/news/index.html","id":"other-24-2-1","dir":"Changelog","previous_headings":"","what":"Other","title":"REDCapCAST 24.2.1","text":"believe renv now added runs correctly. clone, renv::restore() install necessary package modify package.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/news/index.html","id":"whishes-before-cran-release-24-2-1","dir":"Changelog","previous_headings":"","what":"Whishes before CRAN release","title":"REDCapCAST 24.2.1","text":"Vignette ds2dd_detailed() Tests ds2dd_detailed()","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/news/index.html","id":"redcapcast-2411","dir":"Changelog","previous_headings":"","what":"REDCapCAST 24.1.1","title":"REDCapCAST 24.1.1","text":"CRAN release: 2024-01-09","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/news/index.html","id":"functions-24-1-1","dir":"Changelog","previous_headings":"","what":"Functions","title":"REDCapCAST 24.1.1","text":"Fix: read_redcap_tables(): checking form names based data dictionary allow handling non-longitudinal projects. Prints invalid form names invalid event names. invalid form names supplied REDCapR::redcap_read() (backbone), forms exported, want focused approach. Invalid event names give output rather peculiar formatting. Checking field names validity also added.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/news/index.html","id":"redcapcast-23121","dir":"Changelog","previous_headings":"","what":"REDCapCAST 23.12.1","title":"REDCapCAST 23.12.1","text":"CRAN release: 2023-12-20 One new function ease secure dataset retrieval bug fixes.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/news/index.html","id":"functions-23-12-1","dir":"Changelog","previous_headings":"","what":"Functions","title":"REDCapCAST 23.12.1","text":"New: easy_redcap() function ease retrieval dataset read_redcap_tables() keyring-package based key storage, handles secure API set, storage retrieval. Relies small helper function, get_api_key(), wraps relevant keyring-functions. Includes option cast data wide format flag widen.data. Fix: REDCap_split(): using function , supplying data set check boxes fail metadata supplied tibble. Metadata now converted data.frame. Fixed. Fix: read_redcap_tables(): fixed bug supplying events.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/news/index.html","id":"redcapcast-2362","dir":"Changelog","previous_headings":"","what":"REDCapCAST 23.6.2","title":"REDCapCAST 23.6.2","text":"CRAN release: 2023-07-04 version marks introduction helper functions handle database creation.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/news/index.html","id":"functions-23-6-2","dir":"Changelog","previous_headings":"","what":"Functions","title":"REDCapCAST 23.6.2","text":"New: ds2dd() function migrating stRoke-package. Assists building data dictionary REDCap dataset. New: strsplitx() function ease string splitting extension base::strsplit(). Inspiration https://stackoverflow.com//11014253/21019325 https://www.r-bloggers.com/2018/04/strsplit--keeping--delimiter/. New: d2n() function converts single digits written numbers. Used sanitize variable form names REDCap database creation. universal number word suggest english::word() xfun::numbers_to_words(), though testing .","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/news/index.html","id":"redcapcast-2361","dir":"Changelog","previous_headings":"","what":"REDCapCAST 23.6.1","title":"REDCapCAST 23.6.1","text":"CRAN release: 2023-06-06","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/news/index.html","id":"documentation-23-6-1","dir":"Changelog","previous_headings":"","what":"Documentation:","title":"REDCapCAST 23.6.1","text":"Updated description. Look! hex icon! Heading CRAN.","code":""},{"path":[]},{"path":"https://agdamsbo.github.io/REDCapCAST/news/index.html","id":"documentation-23-4-1","dir":"Changelog","previous_headings":"","what":"Documentation:","title":"REDCapCAST 23.4.1","text":"Aiming CRAN","code":""},{"path":[]},{"path":"https://agdamsbo.github.io/REDCapCAST/news/index.html","id":"documentation-23-3-2","dir":"Changelog","previous_headings":"","what":"Documentation:","title":"REDCapCAST 23.3.2","text":"Page added. Vignettes follow. GithubActions tests added code coverage assessed. Badge galore..","code":""},{"path":[]},{"path":"https://agdamsbo.github.io/REDCapCAST/news/index.html","id":"new-name-redcapcast-23-3-1","dir":"Changelog","previous_headings":"","what":"New name: REDCapCAST","title":"REDCapCAST 23.3.1","text":"reflect new functions limitation working R, changed naming fork, still, course, maintaining status fork. versioning moved monthly naming convention. main goal package keep option export defined subset whole dataset REDCap server made possible REDCapR::redcap_read() function, combine work put REDCapRITS package handling longitudinal projects /projects repeated instruments.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/news/index.html","id":"functions-23-3-1","dir":"Changelog","previous_headings":"","what":"Functions:","title":"REDCapCAST 23.3.1","text":"read_redcap_tables() NEW: function mainly implementation combined use REDCapR::readcap_read() REDCap_split() maintain focused nature REDCapR::readcap_read(), download specified data. Also implements tests valid form names event names. usual fall-back solution get data. redcap_wider() NEW: function pivots long data frames read_redcap_tables() using tidyr::pivot_wider(). focused_metadata() NEW: hidden helper function enable focused data acquisition approach handle subset metadata corresponding focused dataset.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/news/index.html","id":"notes-23-3-1","dir":"Changelog","previous_headings":"","what":"Notes:","title":"REDCapCAST 23.3.1","text":"metadata handling IMPROVED: improved handling different column names matadata (DataDictionary) REDCap dependent whether acquired thorugh api og downloaded server.","code":""}]
+[{"path":"https://agdamsbo.github.io/REDCapCAST/LICENSE.html","id":null,"dir":"","previous_headings":"","what":"GNU General Public License","title":"GNU General Public License","text":"Version 3, 29 June 2007Copyright © 2007 Free Software Foundation, Inc. <http://fsf.org/> Everyone permitted copy distribute verbatim copies license document, changing allowed.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/LICENSE.html","id":"preamble","dir":"","previous_headings":"","what":"Preamble","title":"GNU General Public License","text":"GNU General Public License free, copyleft license software kinds works. licenses software practical works designed take away freedom share change works. contrast, GNU General Public License intended guarantee freedom share change versions program–make sure remains free software users. , Free Software Foundation, use GNU General Public License software; applies also work released way authors. can apply programs, . speak free software, referring freedom, price. 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If not, see <http://www.gnu.org/licenses/>. <program>  Copyright (C) <year>  <name of author> This program comes with ABSOLUTELY NO WARRANTY; for details type 'show w'. This is free software, and you are welcome to redistribute it under certain conditions; type 'show c' for details."},{"path":"https://agdamsbo.github.io/REDCapCAST/articles/Introduction.html","id":"splitting-the-dataset","dir":"Articles","previous_headings":"","what":"Splitting the dataset","title":"Introduction","text":"","code":"redcapcast_data |> gt::gt() redcapcast_meta |> gt::gt() list <-   REDCap_split(records = redcapcast_data,                            metadata = redcapcast_meta,                            forms = \"repeating\")|> sanitize_split() str(list) #> List of 2 #>  $          : tibble [10 × 17] (S3: tbl_df/tbl/data.frame) #>   ..$ record_id                   : num [1:10] 1 2 2 3 3 3 4 4 5 6 #>   ..$ redcap_event_name           : chr [1:10] \"inclusion\" \"inclusion\" \"follow1\" \"inclusion\" ... #>   ..$ cpr                         : chr [1:10] \"1203401OB4\" \"0102342303\" NA \"2301569823\" ... #>   ..$ inclusion                   : Date[1:10], format: \"2023-03-13\" \"2023-03-01\" ... #>   ..$ dob                         : Date[1:10], format: \"1940-03-12\" \"1934-02-01\" ... #>   ..$ age                         : num [1:10] 83 89.1 NA 66.1 NA ... #>   ..$ age_integer                 : num [1:10] 83 89 NA 66 NA NA 117 NA 126 91 #>   ..$ sex                         : chr [1:10] \"female\" \"male\" NA \"male\" ... #>   ..$ cohabitation                : chr [1:10] \"Yes\" \"Yes\" NA \"No\" ... #>   ..$ hypertension                : chr [1:10] \"No\" \"No\" NA \"Yes\" ... #>   ..$ diabetes                    : chr [1:10] \"Yes\" \"No\" NA \"Yes\" ... #>   ..$ region                      : chr [1:10] \"East\" \"South\" NA \"North\" ... #>   ..$ baseline_data_start_complete: chr [1:10] \"Incomplete\" \"Incomplete\" NA \"Incomplete\" ... #>   ..$ mrs_assessed                : chr [1:10] \"Yes\" \"Yes\" \"Yes\" NA ... #>   ..$ mrs_date                    : Date[1:10], format: \"2023-03-13\" \"2023-03-07\" ... #>   ..$ mrs_score                   : num [1:10] 1 1 3 NA 2 1 NA NA NA NA #>   ..$ mrs_complete                : chr [1:10] \"Incomplete\" \"Incomplete\" \"Incomplete\" \"Incomplete\" ... #>  $ new_event: tibble [9 × 6] (S3: tbl_df/tbl/data.frame) #>   ..$ record_id               : num [1:9] 2 3 3 3 3 3 4 4 4 #>   ..$ redcap_event_name       : chr [1:9] \"follow1\" \"follow1\" \"follow1\" \"follow2\" ... #>   ..$ redcap_repeat_instrument: chr [1:9] \"new_event\" \"new_event\" \"new_event\" \"new_event\" ... #>   ..$ redcap_repeat_instance  : num [1:9] 1 1 2 1 2 3 1 2 3 #>   ..$ event_type              : chr [1:9] \"TIA\" \"AIS\" \"ICH\" \"ICH\" ... #>   ..$ new_event_complete      : chr [1:9] \"Incomplete\" \"Incomplete\" \"Incomplete\" \"Incomplete\" ... list <-   REDCap_split(records = redcapcast_data,                            metadata = redcapcast_meta,                            forms = \"all\") |> sanitize_split() str(list) #> List of 3 #>  $ baseline_data_start: tibble [6 × 13] (S3: tbl_df/tbl/data.frame) #>   ..$ record_id                   : num [1:6] 1 2 3 4 5 6 #>   ..$ redcap_event_name           : chr [1:6] \"inclusion\" \"inclusion\" \"inclusion\" \"inclusion\" ... #>   ..$ cpr                         : chr [1:6] \"1203401OB4\" \"0102342303\" \"2301569823\" \"0204051342\" ... #>   ..$ inclusion                   : Date[1:6], format: \"2023-03-13\" \"2023-03-01\" ... #>   ..$ dob                         : Date[1:6], format: \"1940-03-12\" \"1934-02-01\" ... #>   ..$ age                         : num [1:6] 83 89.1 66.1 117.9 126.2 ... #>   ..$ age_integer                 : num [1:6] 83 89 66 117 126 91 #>   ..$ sex                         : chr [1:6] \"female\" \"male\" \"male\" \"female\" ... #>   ..$ cohabitation                : chr [1:6] \"Yes\" \"Yes\" \"No\" NA ... #>   ..$ hypertension                : chr [1:6] \"No\" \"No\" \"Yes\" NA ... #>   ..$ diabetes                    : chr [1:6] \"Yes\" \"No\" \"Yes\" NA ... #>   ..$ region                      : chr [1:6] \"East\" \"South\" \"North\" NA ... #>   ..$ baseline_data_start_complete: chr [1:6] \"Incomplete\" \"Incomplete\" \"Incomplete\" \"Incomplete\" ... #>  $ mrs                : tibble [5 × 6] (S3: tbl_df/tbl/data.frame) #>   ..$ record_id        : num [1:5] 1 2 2 3 3 #>   ..$ redcap_event_name: chr [1:5] \"inclusion\" \"inclusion\" \"follow1\" \"follow1\" ... #>   ..$ mrs_assessed     : chr [1:5] \"Yes\" \"Yes\" \"Yes\" \"Yes\" ... #>   ..$ mrs_date         : Date[1:5], format: \"2023-03-13\" \"2023-03-07\" ... #>   ..$ mrs_score        : num [1:5] 1 1 3 2 1 #>   ..$ mrs_complete     : chr [1:5] \"Incomplete\" \"Incomplete\" \"Incomplete\" \"Incomplete\" ... #>  $ new_event          : tibble [9 × 6] (S3: tbl_df/tbl/data.frame) #>   ..$ record_id               : num [1:9] 2 3 3 3 3 3 4 4 4 #>   ..$ redcap_event_name       : chr [1:9] \"follow1\" \"follow1\" \"follow1\" \"follow2\" ... #>   ..$ redcap_repeat_instrument: chr [1:9] \"new_event\" \"new_event\" \"new_event\" \"new_event\" ... #>   ..$ redcap_repeat_instance  : num [1:9] 1 1 2 1 2 3 1 2 3 #>   ..$ event_type              : chr [1:9] \"TIA\" \"AIS\" \"ICH\" \"ICH\" ... #>   ..$ new_event_complete      : chr [1:9] \"Incomplete\" \"Incomplete\" \"Incomplete\" \"Incomplete\" ..."},{"path":"https://agdamsbo.github.io/REDCapCAST/articles/Introduction.html","id":"reading-data-from-redcap","dir":"Articles","previous_headings":"","what":"Reading data from REDCap","title":"Introduction","text":"function wraps demonstrated function get dataset, metadata, apply REDCap_splitfunction bit cleaning. just cuts outs steps easier approach. function works similar REDCapR::redcap_read() allowing specify fields, events forms export instead exporting whole database filtering afterwards. believe better safer, focused approach.","code":"# read_redcap_tables(uri = \"YOUR URI\", token = \"YOUR TOKEN\")"},{"path":"https://agdamsbo.github.io/REDCapCAST/articles/Introduction.html","id":"pivotting-to-wider-format","dir":"Articles","previous_headings":"","what":"Pivotting to wider format","title":"Introduction","text":"","code":"redcap_wider(list) |> str() #> Joining with `by = join_by(record_id)` #> Joining with `by = join_by(record_id)` #> 'data.frame':    6 obs. of  36 variables: #>  $ record_id                   : num  1 2 3 4 5 6 #>  $ cpr                         : chr  \"1203401OB4\" \"0102342303\" \"2301569823\" \"0204051342\" ... #>  $ inclusion                   : Date, format: \"2023-03-13\" \"2023-03-01\" ... #>  $ dob                         : Date, format: \"1940-03-12\" \"1934-02-01\" ... #>  $ age                         : num  83 89.1 66.1 117.9 126.2 ... #>  $ age_integer                 : num  83 89 66 117 126 91 #>  $ sex                         : chr  \"female\" \"male\" \"male\" \"female\" ... #>  $ cohabitation                : chr  \"Yes\" \"Yes\" \"No\" NA ... #>  $ hypertension                : chr  \"No\" \"No\" \"Yes\" NA ... #>  $ diabetes                    : chr  \"Yes\" \"No\" \"Yes\" NA ... #>  $ region                      : chr  \"East\" \"South\" \"North\" NA ... #>  $ baseline_data_start_complete: chr  \"Incomplete\" \"Incomplete\" \"Incomplete\" \"Incomplete\" ... #>  $ mrs_assessed_inclusion      : chr  \"Yes\" \"Yes\" NA NA ... #>  $ mrs_assessed_follow1        : chr  NA \"Yes\" \"Yes\" NA ... #>  $ mrs_assessed_follow2        : chr  NA NA \"Yes\" NA ... #>  $ mrs_date_inclusion          : Date, format: \"2023-03-13\" \"2023-03-07\" ... #>  $ mrs_date_follow1            : Date, format: NA \"2023-03-09\" ... #>  $ mrs_date_follow2            : Date, format: NA NA ... #>  $ mrs_score_inclusion         : num  1 1 NA NA NA NA #>  $ mrs_score_follow1           : num  NA 3 2 NA NA NA #>  $ mrs_score_follow2           : num  NA NA 1 NA NA NA #>  $ mrs_complete_inclusion      : chr  \"Incomplete\" \"Incomplete\" NA NA ... #>  $ mrs_complete_follow1        : chr  NA \"Incomplete\" \"Incomplete\" NA ... #>  $ mrs_complete_follow2        : chr  NA NA \"Incomplete\" NA ... #>  $ event_type_1_follow1        : chr  NA \"TIA\" \"AIS\" NA ... #>  $ event_type_1_follow2        : chr  NA NA \"ICH\" \"AIS\" ... #>  $ new_event_complete_1_follow1: chr  NA \"Incomplete\" \"Incomplete\" NA ... #>  $ new_event_complete_1_follow2: chr  NA NA \"Incomplete\" \"Complete\" ... #>  $ event_type_2_follow1        : chr  NA NA \"ICH\" NA ... #>  $ event_type_2_follow2        : chr  NA NA \"TIA\" \"ICH\" ... #>  $ event_type_3_follow1        : chr  NA NA NA NA ... #>  $ event_type_3_follow2        : chr  NA NA \"AIS\" \"Unknown\" ... #>  $ new_event_complete_2_follow1: chr  NA NA \"Incomplete\" NA ... #>  $ new_event_complete_2_follow2: chr  NA NA \"Incomplete\" \"Incomplete\" ... #>  $ new_event_complete_3_follow1: chr  NA NA NA NA ... #>  $ new_event_complete_3_follow2: chr  NA NA \"Incomplete\" \"Complete\" ..."},{"path":"https://agdamsbo.github.io/REDCapCAST/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Andreas Gammelgaard Damsbo. Author, maintainer. Paul Egeler. Author.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Damsbo , Egeler P (2024). REDCapCAST: REDCap Castellated Data Handling. R package version 24.2.1, https://agdamsbo.github.io/REDCapCAST/, https://github.com/agdamsbo/REDCapCAST.","code":"@Manual{,   title = {REDCapCAST: REDCap Castellated Data Handling},   author = {Andreas Gammelgaard Damsbo and Paul Egeler},   year = {2024},   note = {R package version 24.2.1, https://agdamsbo.github.io/REDCapCAST/},   url = {https://github.com/agdamsbo/REDCapCAST}, }"},{"path":"https://agdamsbo.github.io/REDCapCAST/index.html","id":"redcapcast-package-","dir":"","previous_headings":"","what":"REDCap Castellated Data Handling","title":"REDCap Castellated Data Handling","text":"REDCap Castellated data handling using repeated instruments. package fork pegeler/REDCapRITS. REDCapRITS represents great extensive work handle castellated REDCap data different programming languages. fork purely minded R usage includes implementations main REDCap_split function. main goal project allow “minimal data” approach allowing filter records, instruments variables export download data needed. think approach desireable handling sensitive, clinical data. similar functionality available similar tools (like REDCapR REDCapTidieR). Please refer REDCap-Tools great tools.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/index.html","id":"use-and-immprovements","dir":"","previous_headings":"","what":"Use and immprovements","title":"REDCap Castellated Data Handling","text":"package primarily relevant working longitudinal projects /projects using repeated instruments. just short descirption main functions: REDcap_split(): Works largely original REDCapRITS::REDCap_split(). takes REDCap dataset metadata (data dictionary) split data set list dataframes instruments. read_redcap_tables(): wraps use REDCapR::redcap_read() REDCap_split() ease export REDCap data. redcap_wider(): pivots data frame repeated instruments wide format utilizing tidyr::pivot_wider() tidyverse. easy_redcap(): combines secure API key storage keyring-package, focused data retrieval optional widening. recommended approach easy data access analysis. Compared original REDCapRITS, matching functions improved accept column naming REDCap data manual download API export.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/index.html","id":"future","dir":"","previous_headings":"","what":"Future","title":"REDCap Castellated Data Handling","text":"plan package bundled Handbook working REDCap R. plan also include functionality assist casting (yes, pun intended) initial REDCap database.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/index.html","id":"installation","dir":"","previous_headings":"","what":"Installation","title":"REDCap Castellated Data Handling","text":"package available CRAN. Install latest version: Install latest version directly GitHub:","code":"install.packages(\"REDCapCAST\") remotes::install_github(\"agdamsbo/REDCapCAST\")"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/REDCap_split.html","id":null,"dir":"Reference","previous_headings":"","what":"Split REDCap repeating instruments table into multiple tables — REDCap_split","title":"Split REDCap repeating instruments table into multiple tables — REDCap_split","text":"take output REDCap export split base table child tables repeating instrument. Metadata used determine fields included resultant table.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/REDCap_split.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Split REDCap repeating instruments table into multiple tables — REDCap_split","text":"","code":"REDCap_split(   records,   metadata,   primary_table_name = \"\",   forms = c(\"repeating\", \"all\") )"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/REDCap_split.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Split REDCap repeating instruments table into multiple tables — REDCap_split","text":"records Exported project records. May data.frame, response, character vector containing JSON API call. metadata Project metadata (data dictionary). May data.frame, response, character vector containing JSON API call. primary_table_name Name given list element primary output table (described README.md). Ignored forms = ''. forms Indicate whether create separate tables repeating instruments forms.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/REDCap_split.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Split REDCap repeating instruments table into multiple tables — REDCap_split","text":"list \"data.frame\"s. number tables differ   depending forms option selected.  'repeating': one base table one     tables repeating instrument. '': data.frame instrument, regardless     whether repeating instrument .","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/REDCap_split.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Split REDCap repeating instruments table into multiple tables — REDCap_split","text":"Paul W. Egeler, M.S., GStat","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/REDCap_split.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Split REDCap repeating instruments table into multiple tables — REDCap_split","text":"","code":"if (FALSE) { # Using an API call -------------------------------------------------------  library(RCurl)  # Get the records records <- postForm(   uri = api_url,     # Supply your site-specific URI   token = api_token, # Supply your own API token   content = 'record',   format = 'json',   returnFormat = 'json' )  # Get the metadata metadata <- postForm(   uri = api_url,     # Supply your site-specific URI   token = api_token, # Supply your own API token   content = 'metadata',   format = 'json' )  # Convert exported JSON strings into a list of data.frames REDCapRITS::REDCap_split(records, metadata)  # Using a raw data export -------------------------------------------------  # Get the records records <- read.csv(\"/path/to/data/ExampleProject_DATA_2018-06-03_1700.csv\")  # Get the metadata metadata <- read.csv( \"/path/to/data/ExampleProject_DataDictionary_2018-06-03.csv\")  # Split the tables REDCapRITS::REDCap_split(records, metadata)  # In conjunction with the R export script ---------------------------------  # You must set the working directory first since the REDCap data export # script contains relative file references. old <- getwd() setwd(\"/path/to/data/\")  # Run the data export script supplied by REDCap. # This will create a data.frame of your records called 'data' source(\"ExampleProject_R_2018-06-03_1700.r\")  # Get the metadatan metadata <- read.csv(\"ExampleProject_DataDictionary_2018-06-03.csv\")  # Split the tables REDCapRITS::REDCap_split(data, metadata) setwd(old) }"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/clean_redcap_name.html","id":null,"dir":"Reference","previous_headings":"","what":"clean_redcap_name — clean_redcap_name","title":"clean_redcap_name — clean_redcap_name","text":"Stepwise removal non-alphanumeric characters, trailing white space, substitutes spaces underscores converts lower case. Trying make different naming conventions.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/clean_redcap_name.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"clean_redcap_name — clean_redcap_name","text":"","code":"clean_redcap_name(x)"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/clean_redcap_name.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"clean_redcap_name — clean_redcap_name","text":"x vector data frame cleaning","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/clean_redcap_name.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"clean_redcap_name — clean_redcap_name","text":"vector data frame, format input","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/d2w.html","id":null,"dir":"Reference","previous_headings":"","what":"Convert single digits to words — d2w","title":"Convert single digits to words — d2w","text":"Convert single digits words","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/d2w.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Convert single digits to words — d2w","text":"","code":"d2w(x, lang = \"en\", neutrum = FALSE, everything = FALSE)"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/d2w.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Convert single digits to words — d2w","text":"x data. Handle vectors, data.frames lists lang language. Danish (da) English (en), Default \"en\" neutrum numbers depending counted word everything flag also split numbers >9 single digits","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/d2w.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Convert single digits to words — d2w","text":"returns characters format input","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/d2w.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Convert single digits to words — d2w","text":"","code":"d2w(c(2:8, 21)) #> [1] \"two\"   \"three\" \"four\"  \"five\"  \"six\"   \"seven\" \"eight\" \"21\"    d2w(data.frame(2:7, 3:8, 1), lang = \"da\", neutrum = TRUE) #>   X2.7 X3.8 X1 #> 1   to  tre et #> 2  tre fire et #> 3 fire  fem et #> 4  fem seks et #> 5 seks  syv et #> 6  syv otte et  ## If everything=T, also larger numbers are reduced. ## Elements in the list are same length as input d2w(list(2:8, c(2, 6, 4, 23), 2), everything = TRUE) #> [[1]] #> [1] \"two\"   \"three\" \"four\"  \"five\"  \"six\"   \"seven\" \"eight\" #>  #> [[2]] #> [1] \"two\"       \"six\"       \"four\"      \"two three\" #>  #> [[3]] #> [1] \"two\" #>"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/ds2dd.html","id":null,"dir":"Reference","previous_headings":"","what":"(DEPRECATED) Data set to data dictionary function — ds2dd","title":"(DEPRECATED) Data set to data dictionary function — ds2dd","text":"Creates basic data dictionary skeleton. Please see `ds2dd_detailed()` advanced function.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/ds2dd.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"(DEPRECATED) Data set to data dictionary function — ds2dd","text":"","code":"ds2dd(   ds,   record.id = \"record_id\",   form.name = \"basis\",   field.type = \"text\",   field.label = NULL,   include.column.names = FALSE,   metadata = metadata_names )"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/ds2dd.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"(DEPRECATED) Data set to data dictionary function — ds2dd","text":"ds data set record.id name column number id variable, moved first row data dictionary, character integer. Default \"record_id\". form.name vector form names, character string, length 1 length equal number variables. Default \"basis\". field.type vector field types, character string, length 1 length equal number variables. Default \"text. field.label vector form names, character string, length 1 length equal number variables. Default NULL identical field names. include.column.names Flag give detailed output including new column names original data set upload. metadata Metadata column names. Default included REDCapCAST::metadata_names.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/ds2dd.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"(DEPRECATED) Data set to data dictionary function — ds2dd","text":"data.frame list data.frame vector","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/ds2dd.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"(DEPRECATED) Data set to data dictionary function — ds2dd","text":"Migrated stRoke ds2dd(). Fits better functionality 'REDCapCAST'.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/ds2dd.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"(DEPRECATED) Data set to data dictionary function — ds2dd","text":"","code":"redcapcast_data$record_id <- seq_len(nrow(redcapcast_data)) ds2dd(redcapcast_data, include.column.names=TRUE) #> $DataDictionary #>                      field_name form_name section_header field_type #> 1                     record_id     basis             NA       text #> 2             redcap_event_name     basis             NA       text #> 3      redcap_repeat_instrument     basis             NA       text #> 4        redcap_repeat_instance     basis             NA       text #> 5                           cpr     basis             NA       text #> 6                     inclusion     basis             NA       text #> 7                inclusion_time     basis             NA       text #> 8                           dob     basis             NA       text #> 9                           age     basis             NA       text #> 10                  age_integer     basis             NA       text #> 11                          sex     basis             NA       text #> 12                 cohabitation     basis             NA       text #> 13                 hypertension     basis             NA       text #> 14                     diabetes     basis             NA       text #> 15                       region     basis             NA       text #> 16 baseline_data_start_complete     basis             NA       text #> 17                 mrs_assessed     basis             NA       text #> 18                     mrs_date     basis             NA       text #> 19                    mrs_score     basis             NA       text #> 20                 mrs_complete     basis             NA       text #> 21               event_datetime     basis             NA       text #> 22                    event_age     basis             NA       text #> 23                   event_type     basis             NA       text #> 24           new_event_complete     basis             NA       text #>                     field_label select_choices_or_calculations field_note #> 1                     record_id                             NA         NA #> 2             redcap_event_name                             NA         NA #> 3      redcap_repeat_instrument                             NA         NA #> 4        redcap_repeat_instance                             NA         NA #> 5                           cpr                             NA         NA #> 6                     inclusion                             NA         NA #> 7                inclusion_time                             NA         NA #> 8                           dob                             NA         NA #> 9                           age                             NA         NA #> 10                  age_integer                             NA         NA #> 11                          sex                             NA         NA #> 12                 cohabitation                             NA         NA #> 13                 hypertension                             NA         NA #> 14                     diabetes                             NA         NA #> 15                       region                             NA         NA #> 16 baseline_data_start_complete                             NA         NA #> 17                 mrs_assessed                             NA         NA #> 18                     mrs_date                             NA         NA #> 19                    mrs_score                             NA         NA #> 20                 mrs_complete                             NA         NA #> 21               event_datetime                             NA         NA #> 22                    event_age                             NA         NA #> 23                   event_type                             NA         NA #> 24           new_event_complete                             NA         NA #>    text_validation_type_or_show_slider_number text_validation_min #> 1                                          NA                  NA #> 2                                          NA                  NA #> 3                                          NA                  NA #> 4                                          NA                  NA #> 5                                          NA                  NA #> 6                                          NA                  NA #> 7                                          NA                  NA #> 8                                          NA                  NA #> 9                                          NA                  NA #> 10                                         NA                  NA #> 11                                         NA                  NA #> 12                                         NA                  NA #> 13                                         NA                  NA #> 14                                         NA                  NA #> 15                                         NA                  NA #> 16                                         NA                  NA #> 17                                         NA                  NA #> 18                                         NA                  NA #> 19                                         NA                  NA #> 20                                         NA                  NA #> 21                                         NA                  NA #> 22                                         NA                  NA #> 23                                         NA                  NA #> 24                                         NA                  NA #>    text_validation_max identifier branching_logic required_field #> 1                   NA         NA              NA             NA #> 2                   NA         NA              NA             NA #> 3                   NA         NA              NA             NA #> 4                   NA         NA              NA             NA #> 5                   NA         NA              NA             NA #> 6                   NA         NA              NA             NA #> 7                   NA         NA              NA             NA #> 8                   NA         NA              NA             NA #> 9                   NA         NA              NA             NA #> 10                  NA         NA              NA             NA #> 11                  NA         NA              NA             NA #> 12                  NA         NA              NA             NA #> 13                  NA         NA              NA             NA #> 14                  NA         NA              NA             NA #> 15                  NA         NA              NA             NA #> 16                  NA         NA              NA             NA #> 17                  NA         NA              NA             NA #> 18                  NA         NA              NA             NA #> 19                  NA         NA              NA             NA #> 20                  NA         NA              NA             NA #> 21                  NA         NA              NA             NA #> 22                  NA         NA              NA             NA #> 23                  NA         NA              NA             NA #> 24                  NA         NA              NA             NA #>    custom_alignment question_number matrix_group_name matrix_ranking #> 1                NA              NA                NA             NA #> 2                NA              NA                NA             NA #> 3                NA              NA                NA             NA #> 4                NA              NA                NA             NA #> 5                NA              NA                NA             NA #> 6                NA              NA                NA             NA #> 7                NA              NA                NA             NA #> 8                NA              NA                NA             NA #> 9                NA              NA                NA             NA #> 10               NA              NA                NA             NA #> 11               NA              NA                NA             NA #> 12               NA              NA                NA             NA #> 13               NA              NA                NA             NA #> 14               NA              NA                NA             NA #> 15               NA              NA                NA             NA #> 16               NA              NA                NA             NA #> 17               NA              NA                NA             NA #> 18               NA              NA                NA             NA #> 19               NA              NA                NA             NA #> 20               NA              NA                NA             NA #> 21               NA              NA                NA             NA #> 22               NA              NA                NA             NA #> 23               NA              NA                NA             NA #> 24               NA              NA                NA             NA #>    field_annotation #> 1                NA #> 2                NA #> 3                NA #> 4                NA #> 5                NA #> 6                NA #> 7                NA #> 8                NA #> 9                NA #> 10               NA #> 11               NA #> 12               NA #> 13               NA #> 14               NA #> 15               NA #> 16               NA #> 17               NA #> 18               NA #> 19               NA #> 20               NA #> 21               NA #> 22               NA #> 23               NA #> 24               NA #>  #> $`Column names` #>  [1] \"record_id\"                    \"redcap_event_name\"            #>  [3] \"redcap_repeat_instrument\"     \"redcap_repeat_instance\"       #>  [5] \"cpr\"                          \"inclusion\"                    #>  [7] \"inclusion_time\"               \"dob\"                          #>  [9] \"age\"                          \"age_integer\"                  #> [11] \"sex\"                          \"cohabitation\"                 #> [13] \"hypertension\"                 \"diabetes\"                     #> [15] \"region\"                       \"baseline_data_start_complete\" #> [17] \"mrs_assessed\"                 \"mrs_date\"                     #> [19] \"mrs_score\"                    \"mrs_complete\"                 #> [21] \"event_datetime\"               \"event_age\"                    #> [23] \"event_type\"                   \"new_event_complete\"           #>"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/ds2dd_detailed.html","id":null,"dir":"Reference","previous_headings":"","what":"Extract data from stata file for data dictionary — ds2dd_detailed","title":"Extract data from stata file for data dictionary — ds2dd_detailed","text":"Extract data stata file data dictionary","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/ds2dd_detailed.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Extract data from stata file for data dictionary — ds2dd_detailed","text":"","code":"ds2dd_detailed(   data,   add.auto.id = FALSE,   date.format = \"dmy\",   form.name = NULL,   field.type = NULL,   field.label = NULL,   field.label.attr = \"label\",   field.validation = NULL,   metadata = metadata_names,   validate.time = FALSE,   time.var.sel.pos = \"[Tt]i[d(me)]\",   time.var.sel.neg = \"[Dd]at[eo]\" )"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/ds2dd_detailed.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Extract data from stata file for data dictionary — ds2dd_detailed","text":"data data frame add.auto.id flag add id column date.format date format, character string. ymd/dmy/mdy. dafault dmy. form.name manually specify form name(s). Vector length 1 ncol(data). Default NULL \"data\" used. field.type manually specify field type(s). Vector length 1 ncol(data). Default NULL \"text\" used everything factors, wil get \"radio\". field.label manually specify field label(s). Vector length 1 ncol(data). Default NULL colnames(data) used attribute `field.label.attr` haven_labelled data set (imported .dta file `haven::read_dta()`). field.label.attr attribute name named labels haven_labelled data set (imported .dta file `haven::read_dta()`. Default \"label\" field.validation manually specify field validation(s). Vector length 1 ncol(data). Default NULL `levels()` used factors attribute `factor.labels.attr` haven_labelled data set (imported .dta file `haven::read_dta()`). metadata redcap metadata headings. Default REDCapCAST:::metadata_names. validate.time Flag validate guessed time columns time.var.sel.pos Positive selection regex string passed `gues_time_only_filter()` sel.pos. time.var.sel.neg Negative selection regex string passed `gues_time_only_filter()` sel.neg.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/ds2dd_detailed.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Extract data from stata file for data dictionary — ds2dd_detailed","text":"list length 2","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/ds2dd_detailed.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Extract data from stata file for data dictionary — ds2dd_detailed","text":"function natural development ds2dd() function. assumes first column ID-column. checks. Please, always inspect data dictionary upload. Ensure, data set formatted much information possible. `field.type` can supplied","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/ds2dd_detailed.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Extract data from stata file for data dictionary — ds2dd_detailed","text":"","code":"data <- redcapcast_data data |> ds2dd_detailed(validate.time = TRUE) #> $is.POSIX #> # A tibble: 19 × 2 #>    inclusion_time event_datetime      #>    <time>         <dttm>              #>  1 12:38:49       NA                  #>  2 10:38:57       NA                  #>  3       NA       NA                  #>  4       NA       2024-01-18 12:49:42 #>  5 12:01:07       NA                  #>  6       NA       NA                  #>  7       NA       NA                  #>  8       NA       2024-01-18 12:49:58 #>  9       NA       2024-01-18 12:50:01 #> 10       NA       2024-01-18 12:50:05 #> 11       NA       2024-01-18 12:50:07 #> 12       NA       2024-01-18 12:50:09 #> 13 20:39:19       NA                  #> 14       NA       NA                  #> 15       NA       2024-01-18 12:50:19 #> 16       NA       2024-01-18 12:50:22 #> 17       NA       2024-01-18 12:50:24 #> 18 08:50:31       NA                  #> 19 08:49:28       NA                  #>  #> $is.datetime #> # A tibble: 19 × 1 #>    event_datetime      #>    <dttm>              #>  1 NA                  #>  2 NA                  #>  3 NA                  #>  4 2024-01-18 12:49:42 #>  5 NA                  #>  6 NA                  #>  7 NA                  #>  8 2024-01-18 12:49:58 #>  9 2024-01-18 12:50:01 #> 10 2024-01-18 12:50:05 #> 11 2024-01-18 12:50:07 #> 12 2024-01-18 12:50:09 #> 13 NA                  #> 14 NA                  #> 15 2024-01-18 12:50:19 #> 16 2024-01-18 12:50:22 #> 17 2024-01-18 12:50:24 #> 18 NA                  #> 19 NA                  #>  #> $is.time_only #> # A tibble: 19 × 1 #>    inclusion_time #>    <time>         #>  1 12:38:49       #>  2 10:38:57       #>  3       NA       #>  4       NA       #>  5 12:01:07       #>  6       NA       #>  7       NA       #>  8       NA       #>  9       NA       #> 10       NA       #> 11       NA       #> 12       NA       #> 13 20:39:19       #> 14       NA       #> 15       NA       #> 16       NA       #> 17       NA       #> 18 08:50:31       #> 19 08:49:28       #>  data |> ds2dd_detailed() #> $data #> # A tibble: 19 × 24 #>    record_id redcap_event_name redcap_repeat_instrument redcap_repeat_instance #>        <dbl> <chr>             <chr>                                     <dbl> #>  1         1 inclusion         NA                                           NA #>  2         2 inclusion         NA                                           NA #>  3         2 follow1           NA                                           NA #>  4         2 follow1           New Event (?)                                 1 #>  5         3 inclusion         NA                                           NA #>  6         3 follow1           NA                                           NA #>  7         3 follow2           NA                                           NA #>  8         3 follow1           New Event (?)                                 1 #>  9         3 follow1           New Event (?)                                 2 #> 10         3 follow2           New Event (?)                                 1 #> 11         3 follow2           New Event (?)                                 2 #> 12         3 follow2           New Event (?)                                 3 #> 13         4 inclusion         NA                                           NA #> 14         4 follow2           NA                                           NA #> 15         4 follow2           New Event (?)                                 1 #> 16         4 follow2           New Event (?)                                 2 #> 17         4 follow2           New Event (?)                                 3 #> 18         5 inclusion         NA                                           NA #> 19         6 inclusion         NA                                           NA #> # ℹ 20 more variables: cpr <chr>, inclusion <date>, inclusion_time <chr>, #> #   dob <date>, age <dbl>, age_integer <dbl>, sex <chr>, cohabitation <chr>, #> #   hypertension <chr>, diabetes <chr>, region <chr>, #> #   baseline_data_start_complete <chr>, mrs_assessed <chr>, mrs_date <date>, #> #   mrs_score <dbl>, mrs_complete <chr>, event_datetime <dttm>, #> #   event_age <lgl>, event_type <chr>, new_event_complete <chr> #>  #> $meta #> # A tibble: 24 × 18 #>    field_name               form_name section_header field_type field_label      #>    <chr>                    <chr>     <lgl>          <chr>      <chr>            #>  1 record_id                data      NA             text       record_id        #>  2 redcap_event_name        data      NA             text       redcap_event_na… #>  3 redcap_repeat_instrument data      NA             text       redcap_repeat_i… #>  4 redcap_repeat_instance   data      NA             text       redcap_repeat_i… #>  5 cpr                      data      NA             text       cpr              #>  6 inclusion                data      NA             text       inclusion        #>  7 inclusion_time           data      NA             text       inclusion_time   #>  8 dob                      data      NA             text       dob              #>  9 age                      data      NA             text       age              #> 10 age_integer              data      NA             text       age_integer      #> # ℹ 14 more rows #> # ℹ 13 more variables: select_choices_or_calculations <lgl>, field_note <lgl>, #> #   text_validation_type_or_show_slider_number <chr>, #> #   text_validation_min <lgl>, text_validation_max <lgl>, identifier <lgl>, #> #   branching_logic <lgl>, required_field <lgl>, custom_alignment <lgl>, #> #   question_number <lgl>, matrix_group_name <lgl>, matrix_ranking <lgl>, #> #   field_annotation <lgl> #>  iris |> ds2dd_detailed(add.auto.id = TRUE) #> A default id column has been added #> $data #> # A tibble: 150 × 6 #>    default_trial_id sepal.length sepal.width petal.length petal.width species #>               <int>        <dbl>       <dbl>        <dbl>       <dbl> <fct>   #>  1                1          5.1         3.5          1.4         0.2 setosa  #>  2                2          4.9         3            1.4         0.2 setosa  #>  3                3          4.7         3.2          1.3         0.2 setosa  #>  4                4          4.6         3.1          1.5         0.2 setosa  #>  5                5          5           3.6          1.4         0.2 setosa  #>  6                6          5.4         3.9          1.7         0.4 setosa  #>  7                7          4.6         3.4          1.4         0.3 setosa  #>  8                8          5           3.4          1.5         0.2 setosa  #>  9                9          4.4         2.9          1.4         0.2 setosa  #> 10               10          4.9         3.1          1.5         0.1 setosa  #> # ℹ 140 more rows #>  #> $meta #> # A tibble: 6 × 18 #>   field_name       form_name section_header field_type field_label      #>   <chr>            <chr>     <lgl>          <chr>      <chr>            #> 1 default_trial_id data      NA             text       default_trial_id #> 2 sepal.length     data      NA             text       Sepal.Length     #> 3 sepal.width      data      NA             text       Sepal.Width      #> 4 petal.length     data      NA             text       Petal.Length     #> 5 petal.width      data      NA             text       Petal.Width      #> 6 species          data      NA             radio      Species          #> # ℹ 13 more variables: select_choices_or_calculations <chr>, field_note <lgl>, #> #   text_validation_type_or_show_slider_number <chr>, #> #   text_validation_min <lgl>, text_validation_max <lgl>, identifier <lgl>, #> #   branching_logic <lgl>, required_field <lgl>, custom_alignment <lgl>, #> #   question_number <lgl>, matrix_group_name <lgl>, matrix_ranking <lgl>, #> #   field_annotation <lgl> #>  mtcars |> ds2dd_detailed(add.auto.id = TRUE) #> A default id column has been added #> $data #> # A tibble: 32 × 12 #>    default_trial_id   mpg   cyl  disp    hp  drat    wt  qsec    vs    am  gear #>               <int> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> #>  1                1  21       6  160    110  3.9   2.62  16.5     0     1     4 #>  2                2  21       6  160    110  3.9   2.88  17.0     0     1     4 #>  3                3  22.8     4  108     93  3.85  2.32  18.6     1     1     4 #>  4                4  21.4     6  258    110  3.08  3.22  19.4     1     0     3 #>  5                5  18.7     8  360    175  3.15  3.44  17.0     0     0     3 #>  6                6  18.1     6  225    105  2.76  3.46  20.2     1     0     3 #>  7                7  14.3     8  360    245  3.21  3.57  15.8     0     0     3 #>  8                8  24.4     4  147.    62  3.69  3.19  20       1     0     4 #>  9                9  22.8     4  141.    95  3.92  3.15  22.9     1     0     4 #> 10               10  19.2     6  168.   123  3.92  3.44  18.3     1     0     4 #> # ℹ 22 more rows #> # ℹ 1 more variable: carb <dbl> #>  #> $meta #> # A tibble: 12 × 18 #>    field_name       form_name section_header field_type field_label      #>    <chr>            <chr>     <lgl>          <chr>      <chr>            #>  1 default_trial_id data      NA             text       default_trial_id #>  2 mpg              data      NA             text       mpg              #>  3 cyl              data      NA             text       cyl              #>  4 disp             data      NA             text       disp             #>  5 hp               data      NA             text       hp               #>  6 drat             data      NA             text       drat             #>  7 wt               data      NA             text       wt               #>  8 qsec             data      NA             text       qsec             #>  9 vs               data      NA             text       vs               #> 10 am               data      NA             text       am               #> 11 gear             data      NA             text       gear             #> 12 carb             data      NA             text       carb             #> # ℹ 13 more variables: select_choices_or_calculations <lgl>, field_note <lgl>, #> #   text_validation_type_or_show_slider_number <chr>, #> #   text_validation_min <lgl>, text_validation_max <lgl>, identifier <lgl>, #> #   branching_logic <lgl>, required_field <lgl>, custom_alignment <lgl>, #> #   question_number <lgl>, matrix_group_name <lgl>, matrix_ranking <lgl>, #> #   field_annotation <lgl> #>"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/ds2ical.html","id":null,"dir":"Reference","previous_headings":"","what":"Convert data set to ical file — ds2ical","title":"Convert data set to ical file — ds2ical","text":"Convert data set ical file","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/ds2ical.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Convert data set to ical file — ds2ical","text":"","code":"ds2ical(   data,   start = start,   end = end,   location = location,   summary.glue.string = \"ID {id} [{assessor}]\",   description.glue.string = NULL )"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/ds2ical.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Convert data set to ical file — ds2ical","text":"data data set start dplyr style event start datetime column name end dplyr style event end datetime column name location dplyr style event location column name summary.glue.string character string pass glue::glue() event name (summary). Can take column data set. description.glue.string character string pass glue::glue() event description. Can take column data set.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/ds2ical.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Convert data set to ical file — ds2ical","text":"tibble class \"ical\"","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/ds2ical.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Convert data set to ical file — ds2ical","text":"","code":"df <- dplyr::tibble(start = c(Sys.time(), Sys.time() + lubridate::days(2)), id = c(\"1\", 3), assessor = \"A\", location = \"111\", note = c(NA, \"OBS\")) |> dplyr::mutate(end= start+lubridate::hours(2)) df |> ds2ical() #> # A tibble: 2 × 5 #>   SUMMARY  DTSTART             DTEND               LOCATION UID                  #>   <glue>   <dttm>              <dttm>              <chr>    <chr>                #> 1 ID 1 [A] 2024-02-06 13:38:12 2024-02-06 15:38:12 111      ical-6058ef88-8df2-… #> 2 ID 3 [A] 2024-02-08 13:38:12 2024-02-08 15:38:12 111      ical-8d9bc2f4-09ef-… df |> ds2ical(summary.glue.string = \"ID {id} [{assessor}] {note}\") #> # A tibble: 2 × 5 #>   SUMMARY      DTSTART             DTEND               LOCATION UID              #>   <glue>       <dttm>              <dttm>              <chr>    <chr>            #> 1 ID 1 [A]     2024-02-06 13:38:12 2024-02-06 15:38:12 111      ical-8be1a95c-5… #> 2 ID 3 [A] OBS 2024-02-08 13:38:12 2024-02-08 15:38:12 111      ical-5a05f23b-f… # Export .ics file: (not run) ical <- df |> ds2ical(start, end, location, description.glue.string = \"{note}\") # ical |> calendar::ic_write(file=here::here(\"calendar.ics\"))"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/easy_redcap.html","id":null,"dir":"Reference","previous_headings":"","what":"Secure API key storage and data acquisition in one — easy_redcap","title":"Secure API key storage and data acquisition in one — easy_redcap","text":"Secure API key storage data acquisition one","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/easy_redcap.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Secure API key storage and data acquisition in one — easy_redcap","text":"","code":"easy_redcap(project.name, widen.data = TRUE, uri, ...)"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/easy_redcap.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Secure API key storage and data acquisition in one — easy_redcap","text":"project.name name current project (key storage `keyring::key_set()`, using default keyring) widen.data argument widen exported data uri REDCap database API uri ... arguments passed `REDCapCAST::read_redcap_tables()`","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/easy_redcap.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Secure API key storage and data acquisition in one — easy_redcap","text":"data.frame list depending widen.data","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/focused_metadata.html","id":null,"dir":"Reference","previous_headings":"","what":"focused_metadata — focused_metadata","title":"focused_metadata — focused_metadata","text":"Extracts limited metadata variables dataset","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/focused_metadata.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"focused_metadata — focused_metadata","text":"","code":"focused_metadata(metadata, vars_in_data)"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/focused_metadata.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"focused_metadata — focused_metadata","text":"metadata dataframe containing metadata vars_in_data Vector variable names dataset","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/focused_metadata.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"focused_metadata — focused_metadata","text":"dataframe containing metadata variables dataset","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/get_api_key.html","id":null,"dir":"Reference","previous_headings":"","what":"Retrieve project API key if stored, if not, set and retrieve — get_api_key","title":"Retrieve project API key if stored, if not, set and retrieve — get_api_key","text":"Retrieve project API key stored, , set retrieve","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/get_api_key.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Retrieve project API key if stored, if not, set and retrieve — get_api_key","text":"","code":"get_api_key(key.name)"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/get_api_key.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Retrieve project API key if stored, if not, set and retrieve — get_api_key","text":"key.name character vector key name","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/get_api_key.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Retrieve project API key if stored, if not, set and retrieve — get_api_key","text":"character vector","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/get_id_name.html","id":null,"dir":"Reference","previous_headings":"","what":"Get the id name — get_id_name","title":"Get the id name — get_id_name","text":"Get id name","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/get_id_name.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get the id name — get_id_name","text":"","code":"get_id_name(data)"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/get_id_name.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get the id name — get_id_name","text":"data data frame list","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/get_id_name.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get the id name — get_id_name","text":"character vector","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/guess_time_only_filter.html","id":null,"dir":"Reference","previous_headings":"","what":"Try at determining which are true time only variables — guess_time_only_filter","title":"Try at determining which are true time only variables — guess_time_only_filter","text":"just try guessing data type based data class column names hoping tiny bit naming consistency. R include time-data format natively, \"hms\" class `readr` used. converted character class REDCap upload.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/guess_time_only_filter.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Try at determining which are true time only variables — guess_time_only_filter","text":"","code":"guess_time_only_filter(   data,   validate = FALSE,   sel.pos = \"[Tt]i[d(me)]\",   sel.neg = \"[Dd]at[eo]\" )"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/guess_time_only_filter.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Try at determining which are true time only variables — guess_time_only_filter","text":"data data set validate flag output validation data. output list. sel.pos Positive selection regex string sel.neg Negative selection regex string","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/guess_time_only_filter.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Try at determining which are true time only variables — guess_time_only_filter","text":"character vector list depending `validate` flag.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/guess_time_only_filter.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Try at determining which are true time only variables — guess_time_only_filter","text":"","code":"data <- redcapcast_data data |> guess_time_only_filter() #> [1] \"inclusion_time\" data |> guess_time_only_filter(validate = TRUE) |> lapply(head) #> $is.POSIX #> # A tibble: 6 × 2 #>   inclusion_time event_datetime      #>   <time>         <dttm>              #> 1 12:38:49       NA                  #> 2 10:38:57       NA                  #> 3       NA       NA                  #> 4       NA       2024-01-18 12:49:42 #> 5 12:01:07       NA                  #> 6       NA       NA                  #>  #> $is.datetime #> # A tibble: 6 × 1 #>   event_datetime      #>   <dttm>              #> 1 NA                  #> 2 NA                  #> 3 NA                  #> 4 2024-01-18 12:49:42 #> 5 NA                  #> 6 NA                  #>  #> $is.time_only #> # A tibble: 6 × 1 #>   inclusion_time #>   <time>         #> 1 12:38:49       #> 2 10:38:57       #> 3       NA       #> 4       NA       #> 5 12:01:07       #> 6       NA       #>"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/hms2character.html","id":null,"dir":"Reference","previous_headings":"","what":"Change ","title":"Change ","text":"Change \"hms\" \"character\" REDCap upload.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/hms2character.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Change ","text":"","code":"hms2character(data)"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/hms2character.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Change ","text":"data data set","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/hms2character.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Change ","text":"data.frame tibble","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/hms2character.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Change ","text":"","code":"data <- redcapcast_data ## data |> time_only_correction() |> hms2character()"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/is.repeated_longitudinal.html","id":null,"dir":"Reference","previous_headings":"","what":"Test if repeatable or longitudinal — is.repeated_longitudinal","title":"Test if repeatable or longitudinal — is.repeated_longitudinal","text":"Test repeatable longitudinal","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/is.repeated_longitudinal.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Test if repeatable or longitudinal — is.repeated_longitudinal","text":"","code":"is.repeated_longitudinal(   data,   generics = c(\"redcap_event_name\", \"redcap_repeat_instrument\", \"redcap_repeat_instance\") )"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/is.repeated_longitudinal.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Test if repeatable or longitudinal — is.repeated_longitudinal","text":"data data set generics default \"redcap_event_name\", \"redcap_repeat_instrument\" \"redcap_repeat_instance\"","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/is.repeated_longitudinal.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Test if repeatable or longitudinal — is.repeated_longitudinal","text":"logical","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/is.repeated_longitudinal.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Test if repeatable or longitudinal — is.repeated_longitudinal","text":"","code":"is.repeated_longitudinal(c(\"record_id\", \"age\", \"record_id\", \"gender\")) #> Error in is.repeated_longitudinal(c(\"record_id\", \"age\", \"record_id\", \"gender\")): could not find function \"is.repeated_longitudinal\" is.repeated_longitudinal(redcapcast_data) #> Error in is.repeated_longitudinal(redcapcast_data): could not find function \"is.repeated_longitudinal\" is.repeated_longitudinal(list(redcapcast_data)) #> Error in is.repeated_longitudinal(list(redcapcast_data)): could not find function \"is.repeated_longitudinal\""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/mark_complete.html","id":null,"dir":"Reference","previous_headings":"","what":"Completion marking based on completed upload — mark_complete","title":"Completion marking based on completed upload — mark_complete","text":"Completion marking based completed upload","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/mark_complete.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Completion marking based on completed upload — mark_complete","text":"","code":"mark_complete(upload, ls)"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/mark_complete.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Completion marking based on completed upload — mark_complete","text":"upload output list `REDCapR::redcap_write()` ls output list `ds2dd_detailed()`","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/mark_complete.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Completion marking based on completed upload — mark_complete","text":"list `REDCapR::redcap_write()` results","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/match_fields_to_form.html","id":null,"dir":"Reference","previous_headings":"","what":"Match fields to forms — match_fields_to_form","title":"Match fields to forms — match_fields_to_form","text":"Match fields forms","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/match_fields_to_form.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Match fields to forms — match_fields_to_form","text":"","code":"match_fields_to_form(metadata, vars_in_data)"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/match_fields_to_form.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Match fields to forms — match_fields_to_form","text":"metadata data frame containing field names form names vars_in_data character vector variable names","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/match_fields_to_form.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Match fields to forms — match_fields_to_form","text":"data frame containing field names form names","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/read_redcap_instrument.html","id":null,"dir":"Reference","previous_headings":"","what":"Convenience function to download complete instrument, using token storage in keyring. — read_redcap_instrument","title":"Convenience function to download complete instrument, using token storage in keyring. — read_redcap_instrument","text":"Convenience function download complete instrument, using token storage keyring.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/read_redcap_instrument.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Convenience function to download complete instrument, using token storage in keyring. — read_redcap_instrument","text":"","code":"read_redcap_instrument(   key,   uri,   instrument,   raw_or_label = \"raw\",   id_name = \"record_id\",   records = NULL )"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/read_redcap_instrument.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Convenience function to download complete instrument, using token storage in keyring. — read_redcap_instrument","text":"key key name standard keyring token retrieval. uri REDCap database API uri instrument instrument name raw_or_label raw label passed `REDCapR::redcap_read()` id_name id variable name. Default \"record_id\". records specify records download. Index numbers. Numeric vector.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/read_redcap_instrument.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Convenience function to download complete instrument, using token storage in keyring. — read_redcap_instrument","text":"data.frame","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/read_redcap_tables.html","id":null,"dir":"Reference","previous_headings":"","what":"Download REDCap data — read_redcap_tables","title":"Download REDCap data — read_redcap_tables","text":"Implementation REDCap_split focused data acquisition approach using REDCapR::redcap_read downloading specified fields, forms /events using built-focused_metadata including clean-. Works classical longitudinal projects without repeating instruments.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/read_redcap_tables.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Download REDCap data — read_redcap_tables","text":"","code":"read_redcap_tables(   uri,   token,   records = NULL,   fields = NULL,   events = NULL,   forms = NULL,   raw_or_label = \"label\",   split_forms = \"all\" )"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/read_redcap_tables.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Download REDCap data — read_redcap_tables","text":"uri REDCap database API uri token API token records records download fields fields download events events download forms forms download raw_or_label raw label tags split_forms Whether split \"repeating\" \"\" forms, default . generics vector auto-generated generic variable names ignore discarding empty rows","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/read_redcap_tables.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Download REDCap data — read_redcap_tables","text":"list instruments","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/read_redcap_tables.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Download REDCap data — read_redcap_tables","text":"","code":"# Examples will be provided later"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/redcap_wider.html","id":null,"dir":"Reference","previous_headings":"","what":"Redcap Wider — redcap_wider","title":"Redcap Wider — redcap_wider","text":"Converts list REDCap data frames long wide format. Handles longitudinal projects, yet repeated instruments.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/redcap_wider.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Redcap Wider — redcap_wider","text":"","code":"redcap_wider(   data,   event.glue = \"{.value}_{redcap_event_name}\",   inst.glue = \"{.value}_{redcap_repeat_instance}\" )"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/redcap_wider.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Redcap Wider — redcap_wider","text":"data list data frames. event.glue dplyr::glue string repeated events naming inst.glue dplyr::glue string repeated instruments naming","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/redcap_wider.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Redcap Wider — redcap_wider","text":"list data frames wide format.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/redcap_wider.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Redcap Wider — redcap_wider","text":"","code":"# Longitudinal list1 <- list(data.frame(record_id = c(1,2,1,2), redcap_event_name = c(\"baseline\", \"baseline\", \"followup\", \"followup\"), age = c(25,26,27,28)), data.frame(record_id = c(1,2), redcap_event_name = c(\"baseline\", \"baseline\"), gender = c(\"male\", \"female\"))) redcap_wider(list1) #> Joining with `by = join_by(record_id)` #>   record_id age_baseline age_followup gender #> 1         1           25           27   male #> 2         2           26           28 female # Simpel with two instruments list2 <- list(data.frame(record_id = c(1,2), age = c(25,26)), data.frame(record_id = c(1,2), gender = c(\"male\", \"female\"))) redcap_wider(list2) #> Joining with `by = join_by(record_id)` #>   record_id age gender #> 1         1  25   male #> 2         2  26 female # Simple with single instrument list3 <- list(data.frame(record_id = c(1,2), age = c(25,26))) redcap_wider(list3) #>   record_id age #> 1         1  25 #> 2         2  26 # Longitudinal with repeatable instruments list4 <- list(data.frame(record_id = c(1,2,1,2), redcap_event_name = c(\"baseline\", \"baseline\", \"followup\", \"followup\"), age = c(25,26,27,28)), data.frame(record_id = c(1,1,1,1,2,2,2,2), redcap_event_name = c(\"baseline\", \"baseline\", \"followup\", \"followup\", \"baseline\", \"baseline\", \"followup\", \"followup\"), redcap_repeat_instrument = \"walk\", redcap_repeat_instance=c(1,2,1,2,1,2,1,2), dist = c(40, 32, 25, 33, 28, 24, 23, 36)), data.frame(record_id = c(1,2), redcap_event_name = c(\"baseline\", \"baseline\"), gender = c(\"male\", \"female\"))) redcap_wider(list4) #> Joining with `by = join_by(record_id)` #> Joining with `by = join_by(record_id)` #>   record_id age_baseline age_followup dist_1_baseline dist_1_followup #> 1         1           25           27              40              25 #> 2         2           26           28              28              23 #>   dist_2_baseline dist_2_followup gender #> 1              32              33   male #> 2              24              36 female"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/redcapcast_data.html","id":null,"dir":"Reference","previous_headings":"","what":"Data set for demonstration — redcapcast_data","title":"Data set for demonstration — redcapcast_data","text":"small dataset REDCap database demonstrational purposes. Contains synthetic data.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/redcapcast_data.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Data set for demonstration — redcapcast_data","text":"","code":"data(redcapcast_data)"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/redcapcast_data.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Data set for demonstration — redcapcast_data","text":"data frame 22 variables: record_id ID, numeric redcap_event_name Event name, character redcap_repeat_instrument Repeat instrument, character redcap_repeat_instance Repeat instance, numeric cpr CPR number, character inclusion Inclusion date, Date inclusion_time Inclusion time, hms dob Date birth, Date age Age decimal, numeric age_integer Age integer, numeric sex Legal sex, character cohabitation Cohabitation status, character hypertension Hypertension, character diabetes diabetes, character region region, character baseline_data_start_complete Completed, character mrs_assessed mRS Assessed, character mrs_date Assesment date, Date mrs_score Categorical score, numeric mrs_complete Complete, numeric event_datetime Event datetime, POSIXct event_type Event type, character new_event_complete Completed, character","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/redcapcast_meta.html","id":null,"dir":"Reference","previous_headings":"","what":"REDCap metadata from data base — redcapcast_meta","title":"REDCap metadata from data base — redcapcast_meta","text":"metadata dataset REDCap database demonstrational purposes.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/redcapcast_meta.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"REDCap metadata from data base — redcapcast_meta","text":"","code":"data(redcapcast_meta)"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/redcapcast_meta.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"REDCap metadata from data base — redcapcast_meta","text":"data frame 22 variables: field_name field_name, character form_name form_name, character section_header section_header, character field_type field_type, character field_label field_label, character select_choices_or_calculations select_choices_or_calculations, character field_note field_note, character text_validation_type_or_show_slider_number text_validation_type_or_show_slider_number, character text_validation_min text_validation_min, character text_validation_max text_validation_max, character identifier identifier, character branching_logic branching_logic, character required_field required_field, character custom_alignment custom_alignment, character question_number question_number, character matrix_group_name matrix_group_name, character matrix_ranking matrix_ranking, character field_annotation field_annotation, character","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/sanitize_split.html","id":null,"dir":"Reference","previous_headings":"","what":"Sanitize list of data frames — sanitize_split","title":"Sanitize list of data frames — sanitize_split","text":"Removing empty rows","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/sanitize_split.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Sanitize list of data frames — sanitize_split","text":"","code":"sanitize_split(   l,   generic.names = c(\"redcap_event_name\", \"redcap_repeat_instrument\",     \"redcap_repeat_instance\") )"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/sanitize_split.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Sanitize list of data frames — sanitize_split","text":"l list data frames. generic.names vector generic names excluded.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/sanitize_split.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Sanitize list of data frames — sanitize_split","text":"list data frames generic names excluded.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/split_non_repeating_forms.html","id":null,"dir":"Reference","previous_headings":"","what":"Split a data frame into separate tables for each form — split_non_repeating_forms","title":"Split a data frame into separate tables for each form — split_non_repeating_forms","text":"Split data frame separate tables form","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/split_non_repeating_forms.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Split a data frame into separate tables for each form — split_non_repeating_forms","text":"","code":"split_non_repeating_forms(table, universal_fields, fields)"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/split_non_repeating_forms.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Split a data frame into separate tables for each form — split_non_repeating_forms","text":"table data frame universal_fields character vector fields included every table fields two-column matrix containing names fields included form","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/split_non_repeating_forms.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Split a data frame into separate tables for each form — split_non_repeating_forms","text":"list data frames, one non-repeating form","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/split_non_repeating_forms.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Split a data frame into separate tables for each form — split_non_repeating_forms","text":"","code":"# Create a table table <- data.frame(   id = c(1, 2, 3, 4, 5),   form_a_name = c(\"John\", \"Alice\", \"Bob\", \"Eve\", \"Mallory\"),   form_a_age = c(25, 30, 25, 15, 20),   form_b_name = c(\"John\", \"Alice\", \"Bob\", \"Eve\", \"Mallory\"),   form_b_gender = c(\"M\", \"F\", \"M\", \"F\", \"F\") )  # Create the universal fields universal_fields <- c(\"id\")  # Create the fields fields <- matrix(   c(     \"form_a_name\", \"form_a\",     \"form_a_age\", \"form_a\",     \"form_b_name\", \"form_b\",     \"form_b_gender\", \"form_b\"   ),   ncol = 2, byrow = TRUE )  # Split the table split_non_repeating_forms(table, universal_fields, fields) #> $form_a_age #>   id #> 1  1 #> 2  2 #> 3  3 #> 4  4 #> 5  5 #>"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/strsplitx.html","id":null,"dir":"Reference","previous_headings":"","what":"Extended string splitting — strsplitx","title":"Extended string splitting — strsplitx","text":"Can used substitute base function. Main claim fame easing split around defined delimiter, see example.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/strsplitx.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Extended string splitting — strsplitx","text":"","code":"strsplitx(x, split, type = \"classic\", perl = FALSE, ...)"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/strsplitx.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Extended string splitting — strsplitx","text":"x data split delimiter type Split type. Can c(\"classic\", \"\", \"\", \"around\") perl perl param strsplit() ... additional parameters passed base strsplit handling splits","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/strsplitx.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Extended string splitting — strsplitx","text":"list","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/strsplitx.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Extended string splitting — strsplitx","text":"","code":"test <- c(\"12 months follow-up\", \"3 steps\", \"mRS 6 weeks\", \"Counting to 231 now\") strsplitx(test, \"[0-9]\", type = \"around\") #> [[1]] #> [1] \"1\"                 \"2\"                 \" months follow-up\" #>  #> [[2]] #> [1] \"3\"      \" steps\" #>  #> [[3]] #> [1] \"mRS \"   \"6\"      \" weeks\" #>  #> [[4]] #> [1] \"Counting to \" \"2\"            \"3\"            \"1\"            \" now\"         #>"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/time_only_correction.html","id":null,"dir":"Reference","previous_headings":"","what":"Correction based on time_only_filter function. Introduces new class for easier\nvalidation labelling. — time_only_correction","title":"Correction based on time_only_filter function. Introduces new class for easier\nvalidation labelling. — time_only_correction","text":"Dependens data class \"hms\" introduced `guess_time_only_filter()` converts ","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/time_only_correction.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Correction based on time_only_filter function. Introduces new class for easier\nvalidation labelling. — time_only_correction","text":"","code":"time_only_correction(data, ...)"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/time_only_correction.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Correction based on time_only_filter function. Introduces new class for easier\nvalidation labelling. — time_only_correction","text":"data data set ... arguments passed `guess_time_only_filter()`","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/time_only_correction.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Correction based on time_only_filter function. Introduces new class for easier\nvalidation labelling. — time_only_correction","text":"tibble","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/time_only_correction.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Correction based on time_only_filter function. Introduces new class for easier\nvalidation labelling. — time_only_correction","text":"","code":"data <- redcapcast_data ## data |> time_only_correction()"},{"path":[]},{"path":"https://agdamsbo.github.io/REDCapCAST/news/index.html","id":"functions-24-2-1","dir":"Changelog","previous_headings":"","what":"Functions","title":"REDCapCAST 24.2.1","text":"Fix: ds2dd(): uses correct default dd column names. deprecated. Fix: easy_redcap(): fixed actually allow project naming. also specifically asks uri. widening updated work. Fix: redcap_wider(): updated accept formats allow handling simple projects without repeating instruments longitudinal. Fix: read_redcap_tables(): now handles non-longitudinal project without repeatable instruments. NEW: ds2dd_detailed(): extension ds2dd(), serves preserve much metadata possible automatically. Depends group helper functions also introduced. special note guess_time_only_filter(), try guess columns/variables formatted time formats. Supports hms time format. DETAILED INSTRUCTION VIGNETTE PENDING. NEW: read_redcap_instrument() convenience function retrieve complete instrument. Goes little focused approach. DETAILED INSTRUCTION PENDING. NEW: ds2ical() converts data set ical format easy glue string summary description. Export .ics file calendar::ic_write().","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/news/index.html","id":"other-24-2-1","dir":"Changelog","previous_headings":"","what":"Other","title":"REDCapCAST 24.2.1","text":"believe renv now added runs correctly. clone, renv::restore() install necessary package modify package.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/news/index.html","id":"whishes-before-cran-release-24-2-1","dir":"Changelog","previous_headings":"","what":"Whishes before CRAN release","title":"REDCapCAST 24.2.1","text":"Vignette ds2dd_detailed() Tests ds2dd_detailed()","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/news/index.html","id":"redcapcast-2411","dir":"Changelog","previous_headings":"","what":"REDCapCAST 24.1.1","title":"REDCapCAST 24.1.1","text":"CRAN release: 2024-01-09","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/news/index.html","id":"functions-24-1-1","dir":"Changelog","previous_headings":"","what":"Functions","title":"REDCapCAST 24.1.1","text":"Fix: read_redcap_tables(): checking form names based data dictionary allow handling non-longitudinal projects. Prints invalid form names invalid event names. invalid form names supplied REDCapR::redcap_read() (backbone), forms exported, want focused approach. Invalid event names give output rather peculiar formatting. Checking field names validity also added.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/news/index.html","id":"redcapcast-23121","dir":"Changelog","previous_headings":"","what":"REDCapCAST 23.12.1","title":"REDCapCAST 23.12.1","text":"CRAN release: 2023-12-20 One new function ease secure dataset retrieval bug fixes.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/news/index.html","id":"functions-23-12-1","dir":"Changelog","previous_headings":"","what":"Functions","title":"REDCapCAST 23.12.1","text":"New: easy_redcap() function ease retrieval dataset read_redcap_tables() keyring-package based key storage, handles secure API set, storage retrieval. Relies small helper function, get_api_key(), wraps relevant keyring-functions. Includes option cast data wide format flag widen.data. Fix: REDCap_split(): using function , supplying data set check boxes fail metadata supplied tibble. Metadata now converted data.frame. Fixed. Fix: read_redcap_tables(): fixed bug supplying events.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/news/index.html","id":"redcapcast-2362","dir":"Changelog","previous_headings":"","what":"REDCapCAST 23.6.2","title":"REDCapCAST 23.6.2","text":"CRAN release: 2023-07-04 version marks introduction helper functions handle database creation.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/news/index.html","id":"functions-23-6-2","dir":"Changelog","previous_headings":"","what":"Functions","title":"REDCapCAST 23.6.2","text":"New: ds2dd() function migrating stRoke-package. Assists building data dictionary REDCap dataset. New: strsplitx() function ease string splitting extension base::strsplit(). Inspiration https://stackoverflow.com//11014253/21019325 https://www.r-bloggers.com/2018/04/strsplit--keeping--delimiter/. New: d2n() function converts single digits written numbers. Used sanitize variable form names REDCap database creation. universal number word suggest english::word() xfun::numbers_to_words(), though testing .","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/news/index.html","id":"redcapcast-2361","dir":"Changelog","previous_headings":"","what":"REDCapCAST 23.6.1","title":"REDCapCAST 23.6.1","text":"CRAN release: 2023-06-06","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/news/index.html","id":"documentation-23-6-1","dir":"Changelog","previous_headings":"","what":"Documentation:","title":"REDCapCAST 23.6.1","text":"Updated description. Look! hex icon! Heading CRAN.","code":""},{"path":[]},{"path":"https://agdamsbo.github.io/REDCapCAST/news/index.html","id":"documentation-23-4-1","dir":"Changelog","previous_headings":"","what":"Documentation:","title":"REDCapCAST 23.4.1","text":"Aiming CRAN","code":""},{"path":[]},{"path":"https://agdamsbo.github.io/REDCapCAST/news/index.html","id":"documentation-23-3-2","dir":"Changelog","previous_headings":"","what":"Documentation:","title":"REDCapCAST 23.3.2","text":"Page added. Vignettes follow. GithubActions tests added code coverage assessed. Badge galore..","code":""},{"path":[]},{"path":"https://agdamsbo.github.io/REDCapCAST/news/index.html","id":"new-name-redcapcast-23-3-1","dir":"Changelog","previous_headings":"","what":"New name: REDCapCAST","title":"REDCapCAST 23.3.1","text":"reflect new functions limitation working R, changed naming fork, still, course, maintaining status fork. versioning moved monthly naming convention. main goal package keep option export defined subset whole dataset REDCap server made possible REDCapR::redcap_read() function, combine work put REDCapRITS package handling longitudinal projects /projects repeated instruments.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/news/index.html","id":"functions-23-3-1","dir":"Changelog","previous_headings":"","what":"Functions:","title":"REDCapCAST 23.3.1","text":"read_redcap_tables() NEW: function mainly implementation combined use REDCapR::readcap_read() REDCap_split() maintain focused nature REDCapR::readcap_read(), download specified data. Also implements tests valid form names event names. usual fall-back solution get data. redcap_wider() NEW: function pivots long data frames read_redcap_tables() using tidyr::pivot_wider(). focused_metadata() NEW: hidden helper function enable focused data acquisition approach handle subset metadata corresponding focused dataset.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/news/index.html","id":"notes-23-3-1","dir":"Changelog","previous_headings":"","what":"Notes:","title":"REDCapCAST 23.3.1","text":"metadata handling IMPROVED: improved handling different column names matadata (DataDictionary) REDCap dependent whether acquired thorugh api og downloaded server.","code":""}]