test <- c("12 months follow-up", "3 steps", "mRS 6 weeks",
-"Counting to 231 now")
+ 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"
diff --git a/reference/strsplitx.md b/reference/strsplitx.md
index 4c31049..cdadba1 100644
--- a/reference/strsplitx.md
+++ b/reference/strsplitx.md
@@ -38,8 +38,10 @@ list
## Examples
``` r
-test <- c("12 months follow-up", "3 steps", "mRS 6 weeks",
-"Counting to 231 now")
+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"
diff --git a/search.json b/search.json
index dc02765..257dc7f 100644
--- a/search.json
+++ b/search.json
@@ -1 +1 @@
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Translations available https://www.contributor-covenant.org/translations.","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. 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. Developers use GNU GPL protect rights two steps: (1) assert copyright software, (2) offer License giving legal permission copy, distribute /modify . developers’ authors’ protection, GPL clearly explains warranty free software. users’ authors’ sake, GPL requires modified versions marked changed, problems attributed erroneously authors previous versions. devices designed deny users access install run modified versions software inside , although manufacturer can . fundamentally incompatible aim protecting users’ freedom change software. systematic pattern abuse occurs area products individuals use, precisely unacceptable. Therefore, designed version GPL prohibit practice products. problems arise substantially domains, stand ready extend provision domains future versions GPL, needed protect freedom users. Finally, every program threatened constantly software patents. 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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. Source Code","title":"GNU General Public License","text":"“source code” work means preferred form work making modifications . “Object code” means non-source form work. “Standard Interface” means interface either official standard defined recognized standards body, , case interfaces specified particular programming language, one widely used among developers working language. “System Libraries” executable work include anything, work whole, () included normal form packaging Major Component, part Major Component, (b) serves enable use work Major Component, implement Standard Interface implementation available public source code form. “Major Component”, context, means major essential component (kernel, window system, ) specific operating system () executable work runs, compiler used produce work, object code interpreter used run . “Corresponding Source” work object code form means source code needed generate, install, (executable work) run object code modify work, including scripts control activities. 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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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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 . 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 .","code":" Copyright (C) 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 . Copyright (C) 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/Database-creation.html","id":"two-different-ways-to-create-a-data-base","dir":"Articles","previous_headings":"","what":"Two different ways to create a data base","title":"Database-creation","text":"REDCapCAST provides two approaches creating data dictionary aimed helping two different cases: Easily create REDCap data base existing data set. Create table Word describing variables data base use create data base. following try come suggestions use approaches.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/articles/Database-creation.html","id":"easy-data-set-to-data-base-workflow","dir":"Articles","previous_headings":"Two different ways to create a data base","what":"Easy data set to data base workflow","title":"Database-creation","text":"first iteration dataset data dictionary function ds2dd(), creates basic data dictionary variables stored text. sufficient just storing old datasets/spreadsheets securely REDCap. advanced ds2dd_detailed() natural development. try apply common data classes data validation assume first column id number. outputs list dataset modified variable names comply REDCap naming conventions data dictionary. dataset correctly formatted data dictionary preserve much information possible. Additional specifications DataDictionary can made manually, can uploaded modified manually graphical user interface REDCap server.","code":"d1 <- mtcars |> dplyr::mutate(record_id = seq_len(dplyr::n())) |> ds2dd() d1 |> gt::gt() d2 <- REDCapCAST::redcapcast_data |> dplyr::mutate(record_id = seq_len(dplyr::n()), region=factor(region)) |> dplyr::select(record_id, dplyr::everything()) |> (\\(.x){ .x[!grepl(\"_complete$\",names(.x))] })() |> (\\(.x){ .x[!grepl(\"^redcap\",names(.x))] })() |> ds2dd_detailed() |> purrr::pluck(\"meta\") d2 |> gt::gt()"},{"path":"https://agdamsbo.github.io/REDCapCAST/articles/Database-creation.html","id":"data-base-from-table","dir":"Articles","previous_headings":"Two different ways to create a data base","what":"Data base from table","title":"Database-creation","text":"…instructions examples coming…","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/articles/Database-creation.html","id":"meta-data-and-data-upload","dir":"Articles","previous_headings":"Two different ways to create a data base","what":"Meta data and data upload","title":"Database-creation","text":"Now DataDictionary can exported spreadsheet uploaded can uploaded using REDCapR package (projects “Development” status). Use one two approaches :","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/articles/Database-creation.html","id":"manual-upload","dir":"Articles","previous_headings":"Two different ways to create a data base > Meta data and data upload","what":"Manual upload","title":"Database-creation","text":"","code":"write.csv(dd_ls$meta, \"datadictionary.csv\")"},{"path":"https://agdamsbo.github.io/REDCapCAST/articles/Database-creation.html","id":"upload-with-redcapr","dir":"Articles","previous_headings":"Two different ways to create a data base > Meta data and data upload","what":"Upload with REDCapR","title":"Database-creation","text":"“REDCap R Handbook” written interfacing REDCap R using library(keyring)store credentials chapter 1.1.","code":"REDCapR::redcap_metadata_write( dd_ls$meta, redcap_uri = keyring::key_get(\"DB_URI\"), token = keyring::key_get(\"DB_TOKEN\") )"},{"path":"https://agdamsbo.github.io/REDCapCAST/articles/Database-creation.html","id":"step-4---data-upload","dir":"Articles","previous_headings":"Two different ways to create a data base","what":"Step 4 - Data upload","title":"Database-creation","text":"two options available data upload meta data upload: manual REDCapR. latter shown .","code":"REDCapR::redcap_write( dd_ls$data, redcap_uri = keyring::key_get(\"DB_URI\"), token = keyring::key_get(\"DB_TOKEN\") )"},{"path":"https://agdamsbo.github.io/REDCapCAST/articles/REDCapCAST.html","id":"casting-meta-data","dir":"Articles","previous_headings":"","what":"Casting meta data","title":"REDCapCAST","text":"easiest way use shiny_cast(). can access hosted version launch locally like :","code":"shiny_cast()"},{"path":"https://agdamsbo.github.io/REDCapCAST/articles/REDCapCAST.html","id":"reading-data-from-redcap","dir":"Articles","previous_headings":"","what":"Reading data from REDCap","title":"REDCapCAST","text":"get started, easiest way possible, can use easy_redcap() function (example ). need API-key REDCap server, uri/URL/address API connection (usually address used accessing institutions REDCap server, appended “/api/”). function includes convenience features ease work. project uses repeating instruments possible longitudinal project, can choose widen data. , result list instrument chosen extract data . Make sure specify fields instruments need, avoid save data locally, always source REDCap avoid possibly insecure local storage sensitive data.","code":"easy_redcap( uri = \"YOUR URI\", project.name = \"MY_PROJECT\", widen.data = TRUE, fields = c(\"record_id\", \"OTHER FIELDS\") )"},{"path":"https://agdamsbo.github.io/REDCapCAST/articles/REDCapCAST.html","id":"splitting-the-dataset","dir":"Articles","previous_headings":"","what":"Splitting the dataset","title":"REDCapCAST","text":"easy_redcap() function things hood. examples show nicely formatted output achieved. sample dataset Data Dictionary/metadata provided demonstration: save metadata labels dataset, can save field labels choices radio buttons dropdown features: REDCap_split function splits data set list data.frames. easy_redcap() (optionally) continue widen data, transforming list data.frames single data.frame one row subject/record_id (wide data format): Transfer suffixes labels:","code":"redcapcast_data |> gt::gt() redcapcast_meta |> gt::gt() labelled_data <- apply_field_label( data = redcapcast_data, meta = redcapcast_meta ) |> apply_factor_labels(meta = redcapcast_meta) list <- REDCap_split( records = labelled_data, metadata = redcapcast_meta, forms = \"all\" ) |> # Next steps cleans up and removes generic columns sanitize_split() str(list) #> List of 3 #> $ baseline_data_start: tibble [6 × 14] (S3: tbl_df/tbl/data.frame) #> ..$ record_id : num [1:6] 1 2 3 4 5 6 #> .. ..- attr(*, \"label\")= chr \"ID\" #> ..$ redcap_event_name : chr [1:6] \"inclusion\" \"inclusion\" \"inclusion\" \"inclusion\" ... #> ..$ cpr : chr [1:6] \"1203401OB4\" \"0102342303\" \"2301569823\" \"0204051342\" ... #> .. ..- attr(*, \"label\")= chr \"CPR (Danish civil registration number)\" #> ..$ inclusion : Date[1:6], format: \"2023-03-13\" \"2023-03-01\" ... #> ..$ inclusion_time : 'hms' num [1:6] 12:38:49 10:38:57 12:01:07 20:39:19 ... #> .. ..- attr(*, \"units\")= chr \"secs\" #> ..$ dob : Date[1:6], format: \"1940-03-12\" \"1934-02-01\" ... #> ..$ age : num [1:6] 83 89.1 66.1 117.9 126.2 ... #> .. ..- attr(*, \"label\")= chr \"Age\\r\\nNote: Apparently, the build in datediff() function does not handle counting whole years. This results in\"| __truncated__ #> ..$ age_integer : num [1:6] 83 89 66 117 126 91 #> .. ..- attr(*, \"label\")= chr \"Age integer\\r\\nNote: as opposed to the build in datediff() this handles counting years as integers very well. C\"| __truncated__ #> ..$ sex : chr [1:6] \"female\" \"male\" \"male\" \"female\" ... #> .. ..- attr(*, \"label\")= chr \"Legal sex\" #> ..$ cohabitation : 'labelled' chr [1:6] \"Yes\" \"Yes\" \"No\" NA ... #> .. ..- attr(*, \"label\")= chr \"Cohabitation\" #> .. ..- attr(*, \"labels\")= Named chr [1:2] \"1\" \"2\" #> .. .. ..- attr(*, \"names\")= chr [1:2] \"Yes\" \"No\" #> ..$ hypertension : 'labelled' chr [1:6] \"No\" \"No\" \"Yes\" NA ... #> .. ..- attr(*, \"label\")= chr \"Hypertension\" #> .. ..- attr(*, \"labels\")= Named chr [1:2] \"1\" \"2\" #> .. .. ..- attr(*, \"names\")= chr [1:2] \"Yes\" \"No\" #> ..$ diabetes : 'labelled' chr [1:6] \"Yes\" \"No\" \"Yes\" NA ... #> .. ..- attr(*, \"label\")= chr \"Diabetes\" #> .. ..- attr(*, \"labels\")= Named chr [1:2] \"1\" \"2\" #> .. .. ..- attr(*, \"names\")= chr [1:2] \"Yes\" \"No\" #> ..$ region : 'labelled' chr [1:6] \"East\" \"South\" \"North\" NA ... #> .. ..- attr(*, \"label\")= chr \"Region\" #> .. ..- attr(*, \"labels\")= Named chr [1:4] \"1\" \"2\" \"3\" \"4\" #> .. .. ..- attr(*, \"names\")= chr [1:4] \"North\" \"East\" \"South\" \"West\" #> ..$ 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 #> .. ..- attr(*, \"label\")= chr \"ID\" #> ..$ redcap_event_name: chr [1:5] \"inclusion\" \"inclusion\" \"follow1\" \"follow1\" ... #> ..$ mrs_assessed : 'labelled' chr [1:5] \"Yes\" \"Yes\" \"Yes\" \"Yes\" ... #> .. ..- attr(*, \"label\")= chr \"Assesed\" #> .. ..- attr(*, \"labels\")= Named chr [1:2] \"1\" \"2\" #> .. .. ..- attr(*, \"names\")= chr [1:2] \"Yes\" \"No\" #> ..$ mrs_date : Date[1:5], format: \"2023-03-13\" \"2023-03-07\" ... #> ..$ mrs_score : 'labelled' num [1:5] 1 1 3 2 1 #> .. ..- attr(*, \"label\")= chr \"mRS score\" #> .. ..- attr(*, \"labels\")= Named chr [1:6] \"0\" \"1\" \"2\" \"3\" ... #> .. .. ..- attr(*, \"names\")= chr [1:6] \"0\" \"1\" \"2\" \"3\" ... #> ..$ mrs_complete : chr [1:5] \"Incomplete\" \"Incomplete\" \"Incomplete\" \"Incomplete\" ... #> $ new_event : tibble [13 × 8] (S3: tbl_df/tbl/data.frame) #> ..$ record_id : num [1:13] 2 3 3 3 3 3 4 4 4 4 ... #> .. ..- attr(*, \"label\")= chr \"ID\" #> ..$ redcap_event_name : chr [1:13] \"follow1\" \"follow1\" \"follow1\" \"follow2\" ... #> ..$ redcap_repeat_instrument: chr [1:13] \"new_event\" \"new_event\" \"new_event\" \"new_event\" ... #> ..$ redcap_repeat_instance : num [1:13] 1 1 2 1 2 3 1 2 1 2 ... #> ..$ event_datetime : POSIXct[1:13], format: \"2024-01-18 12:49:42\" \"2024-01-18 12:49:58\" ... #> ..$ event_age : num [1:13] NA NA NA NA NA NA 96 105 118 118 ... #> .. ..- attr(*, \"label\")= chr \"Age at event\" #> ..$ event_type : 'labelled' chr [1:13] \"TIA\" \"AIS\" \"ICH\" \"ICH\" ... #> .. ..- attr(*, \"label\")= chr \"Neurovascular event\" #> .. ..- attr(*, \"labels\")= Named chr [1:5] \"1\" \"2\" \"3\" \"4\" ... #> .. .. ..- attr(*, \"names\")= chr [1:5] \"TIA\" \"AIS\" \"ICH\" \"SAH\" ... #> ..$ new_event_complete : chr [1:13] \"Incomplete\" \"Incomplete\" \"Incomplete\" \"Incomplete\" ... wide_data <- redcap_wider(list, event.glue = \"{.value}____{redcap_event_name}\", inst.glue = \"{.value}____{redcap_repeat_instance}\" ) #> Joining with `by = join_by(record_id)` #> Joining with `by = join_by(record_id)` wide_data |> str() #> tibble [6 × 49] (S3: tbl_df/tbl/data.frame) #> $ record_id : num [1:6] 1 2 3 4 5 6 #> ..- attr(*, \"label\")= chr \"ID\" #> $ cpr : chr [1:6] \"1203401OB4\" \"0102342303\" \"2301569823\" \"0204051342\" ... #> ..- attr(*, \"label\")= chr \"CPR (Danish civil registration number)\" #> $ inclusion : Date[1:6], format: \"2023-03-13\" \"2023-03-01\" ... #> $ inclusion_time : 'hms' num [1:6] 12:38:49 10:38:57 12:01:07 20:39:19 ... #> ..- attr(*, \"units\")= chr \"secs\" #> $ dob : Date[1:6], format: \"1940-03-12\" \"1934-02-01\" ... #> $ age : num [1:6] 83 89.1 66.1 117.9 126.2 ... #> ..- attr(*, \"label\")= chr \"Age\\r\\nNote: Apparently, the build in datediff() function does not handle counting whole years. This results in\"| __truncated__ #> $ age_integer : num [1:6] 83 89 66 117 126 91 #> ..- attr(*, \"label\")= chr \"Age integer\\r\\nNote: as opposed to the build in datediff() this handles counting years as integers very well. C\"| __truncated__ #> $ sex : chr [1:6] \"female\" \"male\" \"male\" \"female\" ... #> ..- attr(*, \"label\")= chr \"Legal sex\" #> $ cohabitation : 'labelled' chr [1:6] \"Yes\" \"Yes\" \"No\" NA ... #> ..- attr(*, \"label\")= chr \"Cohabitation\" #> ..- attr(*, \"labels\")= Named chr [1:2] \"1\" \"2\" #> .. ..- attr(*, \"names\")= chr [1:2] \"Yes\" \"No\" #> $ hypertension : 'labelled' chr [1:6] \"No\" \"No\" \"Yes\" NA ... #> ..- attr(*, \"label\")= chr \"Hypertension\" #> ..- attr(*, \"labels\")= Named chr [1:2] \"1\" \"2\" #> .. ..- attr(*, \"names\")= chr [1:2] \"Yes\" \"No\" #> $ diabetes : 'labelled' chr [1:6] \"Yes\" \"No\" \"Yes\" NA ... #> ..- attr(*, \"label\")= chr \"Diabetes\" #> ..- attr(*, \"labels\")= Named chr [1:2] \"1\" \"2\" #> .. ..- attr(*, \"names\")= chr [1:2] \"Yes\" \"No\" #> $ region : 'labelled' chr [1:6] \"East\" \"South\" \"North\" NA ... #> ..- attr(*, \"label\")= chr \"Region\" #> ..- attr(*, \"labels\")= Named chr [1:4] \"1\" \"2\" \"3\" \"4\" #> .. ..- attr(*, \"names\")= chr [1:4] \"North\" \"East\" \"South\" \"West\" #> $ baseline_data_start_complete : chr [1:6] \"Incomplete\" \"Incomplete\" \"Incomplete\" \"Incomplete\" ... #> $ mrs_assessed____inclusion : 'labelled' chr [1:6] \"Yes\" \"Yes\" NA NA ... #> ..- attr(*, \"label\")= chr \"Assesed\" #> ..- attr(*, \"labels\")= Named chr [1:2] \"1\" \"2\" #> .. ..- attr(*, \"names\")= chr [1:2] \"Yes\" \"No\" #> $ mrs_assessed____follow1 : 'labelled' chr [1:6] NA \"Yes\" \"Yes\" NA ... #> ..- attr(*, \"label\")= chr \"Assesed\" #> ..- attr(*, \"labels\")= Named chr [1:2] \"1\" \"2\" #> .. ..- attr(*, \"names\")= chr [1:2] \"Yes\" \"No\" #> $ mrs_assessed____follow2 : 'labelled' chr [1:6] NA NA \"Yes\" NA ... #> ..- attr(*, \"label\")= chr \"Assesed\" #> ..- attr(*, \"labels\")= Named chr [1:2] \"1\" \"2\" #> .. ..- attr(*, \"names\")= chr [1:2] \"Yes\" \"No\" #> $ mrs_date____inclusion : Date[1:6], format: \"2023-03-13\" \"2023-03-07\" ... #> $ mrs_date____follow1 : Date[1:6], format: NA \"2023-03-09\" ... #> $ mrs_date____follow2 : Date[1:6], format: NA NA ... #> $ mrs_score____inclusion : 'labelled' num [1:6] 1 1 NA NA NA NA #> ..- attr(*, \"label\")= chr \"mRS score\" #> ..- attr(*, \"labels\")= Named chr [1:6] \"0\" \"1\" \"2\" \"3\" ... #> .. ..- attr(*, \"names\")= chr [1:6] \"0\" \"1\" \"2\" \"3\" ... #> $ mrs_score____follow1 : 'labelled' num [1:6] NA 3 2 NA NA NA #> ..- attr(*, \"label\")= chr \"mRS score\" #> ..- attr(*, \"labels\")= Named chr [1:6] \"0\" \"1\" \"2\" \"3\" ... #> .. ..- attr(*, \"names\")= chr [1:6] \"0\" \"1\" \"2\" \"3\" ... #> $ mrs_score____follow2 : 'labelled' num [1:6] NA NA 1 NA NA NA #> ..- attr(*, \"label\")= chr \"mRS score\" #> ..- attr(*, \"labels\")= Named chr [1:6] \"0\" \"1\" \"2\" \"3\" ... #> .. ..- attr(*, \"names\")= chr [1:6] \"0\" \"1\" \"2\" \"3\" ... #> $ mrs_complete____inclusion : chr [1:6] \"Incomplete\" \"Incomplete\" NA NA ... #> $ mrs_complete____follow1 : chr [1:6] NA \"Incomplete\" \"Incomplete\" NA ... #> $ mrs_complete____follow2 : chr [1:6] NA NA \"Incomplete\" NA ... #> $ event_datetime____1____follow1 : POSIXct[1:6], format: NA \"2024-01-18 12:49:42\" ... #> $ event_datetime____1____follow2 : POSIXct[1:6], format: NA NA ... #> $ event_age____1____follow1 : num [1:6] NA NA NA 96 127 NA #> ..- attr(*, \"label\")= chr \"Age at event\" #> $ event_age____1____follow2 : num [1:6] NA NA NA 118 NA NA #> ..- attr(*, \"label\")= chr \"Age at event\" #> $ event_type____1____follow1 : 'labelled' chr [1:6] NA \"TIA\" \"AIS\" \"TIA\" ... #> ..- attr(*, \"label\")= chr \"Neurovascular event\" #> ..- attr(*, \"labels\")= Named chr [1:5] \"1\" \"2\" \"3\" \"4\" ... #> .. ..- attr(*, \"names\")= chr [1:5] \"TIA\" \"AIS\" \"ICH\" \"SAH\" ... #> $ event_type____1____follow2 : 'labelled' chr [1:6] NA NA \"ICH\" \"AIS\" ... #> ..- attr(*, \"label\")= chr \"Neurovascular event\" #> ..- attr(*, \"labels\")= Named chr [1:5] \"1\" \"2\" \"3\" \"4\" ... #> .. ..- attr(*, \"names\")= chr [1:5] \"TIA\" \"AIS\" \"ICH\" \"SAH\" ... #> $ new_event_complete____1____follow1: chr [1:6] NA \"Incomplete\" \"Incomplete\" \"Complete\" ... #> $ new_event_complete____1____follow2: chr [1:6] NA NA \"Incomplete\" \"Complete\" ... #> $ event_datetime____2____follow1 : POSIXct[1:6], format: NA NA ... #> $ event_datetime____2____follow2 : POSIXct[1:6], format: NA NA ... #> $ event_datetime____3____follow1 : POSIXct[1:6], format: NA NA ... #> $ event_datetime____3____follow2 : POSIXct[1:6], format: NA NA ... #> $ event_age____2____follow1 : num [1:6] NA NA NA 105 127 NA #> ..- attr(*, \"label\")= chr \"Age at event\" #> $ event_age____2____follow2 : num [1:6] NA NA NA 118 NA NA #> ..- attr(*, \"label\")= chr \"Age at event\" #> $ event_age____3____follow1 : num [1:6] NA NA NA NA NA NA #> ..- attr(*, \"label\")= chr \"Age at event\" #> $ event_age____3____follow2 : num [1:6] NA NA NA 118 NA NA #> ..- attr(*, \"label\")= chr \"Age at event\" #> $ event_type____2____follow1 : 'labelled' chr [1:6] NA NA \"ICH\" \"TIA\" ... #> ..- attr(*, \"label\")= chr \"Neurovascular event\" #> ..- attr(*, \"labels\")= Named chr [1:5] \"1\" \"2\" \"3\" \"4\" ... #> .. ..- attr(*, \"names\")= chr [1:5] \"TIA\" \"AIS\" \"ICH\" \"SAH\" ... #> $ event_type____2____follow2 : 'labelled' chr [1:6] NA NA \"TIA\" \"ICH\" ... #> ..- attr(*, \"label\")= chr \"Neurovascular event\" #> ..- attr(*, \"labels\")= Named chr [1:5] \"1\" \"2\" \"3\" \"4\" ... #> .. ..- attr(*, \"names\")= chr [1:5] \"TIA\" \"AIS\" \"ICH\" \"SAH\" ... #> $ event_type____3____follow1 : 'labelled' chr [1:6] NA NA NA NA ... #> ..- attr(*, \"label\")= chr \"Neurovascular event\" #> ..- attr(*, \"labels\")= Named chr [1:5] \"1\" \"2\" \"3\" \"4\" ... #> .. ..- attr(*, \"names\")= chr [1:5] \"TIA\" \"AIS\" \"ICH\" \"SAH\" ... #> $ event_type____3____follow2 : 'labelled' chr [1:6] NA NA \"AIS\" \"Unknown\" ... #> ..- attr(*, \"label\")= chr \"Neurovascular event\" #> ..- attr(*, \"labels\")= Named chr [1:5] \"1\" \"2\" \"3\" \"4\" ... #> .. ..- attr(*, \"names\")= chr [1:5] \"TIA\" \"AIS\" \"ICH\" \"SAH\" ... #> $ new_event_complete____2____follow1: chr [1:6] NA NA \"Incomplete\" \"Complete\" ... #> $ new_event_complete____2____follow2: chr [1:6] NA NA \"Incomplete\" \"Incomplete\" ... #> $ new_event_complete____3____follow1: chr [1:6] NA NA NA NA ... #> $ new_event_complete____3____follow2: chr [1:6] NA NA \"Incomplete\" \"Complete\" ... wide_data_suffixes <- wide_data |> suffix2label()"},{"path":"https://agdamsbo.github.io/REDCapCAST/articles/REDCapCAST.html","id":"creating-a-nice-table","dir":"Articles","previous_headings":"","what":"Creating a nice table","title":"REDCapCAST","text":"","code":"wide_data_suffixes |> as_factor()|> dplyr::select(sex, hypertension, diabetes,mrs_score____follow2) |> gtsummary::tbl_summary(type = gtsummary::all_dichotomous() ~ \"categorical\")"},{"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 (2026). REDCapCAST: REDCap Metadata Casting Castellated Data Handling. R package version 25.11.1, https://github.com/agdamsbo/REDCapCAST.","code":"@Manual{, title = {REDCapCAST: REDCap Metadata Casting and Castellated Data Handling}, author = {Andreas Gammelgaard Damsbo and Paul Egeler}, year = {2026}, note = {R package version 25.11.1}, url = {https://github.com/agdamsbo/REDCapCAST}, }"},{"path":"https://agdamsbo.github.io/REDCapCAST/index.html","id":"redcapcast-package-","dir":"","previous_headings":"","what":"REDCap Metadata Casting and Castellated Data Handling","title":"REDCap Metadata Casting and Castellated Data Handling","text":"Casting metadata REDCap database creation handling castellated data using repeated instruments longitudinal projects REDCap. implemented app-interface easy database creation accessible available run locally shiny_cast() allowing easily create REDCap database based existing spreadsheet. Export data REDCap different formats handling castellated data, default export requested data, mainly read_redcap_tables(). REDCapCAST initially build , still includes code pegeler/REDCapRITS, relies functions REDCapR-project","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/index.html","id":"history","dir":"","previous_headings":"","what":"History","title":"REDCap Metadata Casting and Castellated Data Handling","text":"package originally forked pegeler/REDCapRITS. REDCapRITS represents great extensive work handle castellated REDCap data different programming languages. REDCapCAST evolved much just handling castellated data detatched original project still relying main REDCap_split function. access REDCap database build outstanding work REDCapR. package really started frustration PhD health science hearing colleagues complaining “castellated” data formatting REDCap exports longitudinal projects used wide data. led bad decisions building databases avoiding repeated instruments. package solves challenges, solutions also implemented else like redcapAPI REDCapTidieR packages, bigger project. help new PhD students researchers, also worked creating helper/wrapper-functions ease data access. Documentation ’s way. advanced uses, consider using redcapAPI REDCapR packages.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/index.html","id":"future","dir":"","previous_headings":"","what":"Future","title":"REDCap Metadata Casting and Castellated Data Handling","text":"plan package bundled Handbook working REDCap R. work progress limited time available. Please feel free contact create issue ideas future additions.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/index.html","id":"installation-and-use","dir":"","previous_headings":"","what":"Installation and use","title":"REDCap Metadata Casting and Castellated Data Handling","text":"package available CRAN. Install latest version: Install latest version directly GitHub: Launch REDCapCAST app interface directly machine:","code":"install.packages(\"REDCapCAST\") require(\"remotes\") remotes::install_github(\"agdamsbo/REDCapCAST\") REDCapCAST::shiny_cast()"},{"path":"https://agdamsbo.github.io/REDCapCAST/index.html","id":"code-of-conduct","dir":"","previous_headings":"","what":"Code of Conduct","title":"REDCap Metadata Casting and Castellated Data Handling","text":"Please note REDCapCAST project released Contributor Code Conduct. contributing project, agree abide terms.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/REDCapCAST-package.html","id":null,"dir":"Reference","previous_headings":"","what":"REDCapCAST: REDCap Metadata Casting and Castellated Data Handling — REDCapCAST-package","title":"REDCapCAST: REDCap Metadata Casting and Castellated Data Handling — REDCapCAST-package","text":"Casting metadata REDCap database creation handling castellated data using repeated instruments longitudinal projects 'REDCap'. Keeps focused data export approach, allowing export required data database. Also casting new REDCap databases based datasets sources. Originally forked R part 'REDCapRITS' Paul Egeler. See https://github.com/pegeler/REDCapRITS. 'REDCap' (Research Electronic Data Capture) secure, web-based software platform designed support data capture research studies, providing 1) intuitive interface validated data capture; 2) audit trails tracking data manipulation export procedures; 3) automated export procedures seamless data downloads common statistical packages; 4) procedures data integration interoperability external sources (Harris et al (2009) doi:10.1016/j.jbi.2008.08.010 ; Harris et al (2019) doi:10.1016/j.jbi.2019.103208 ).","code":""},{"path":[]},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/REDCapCAST-package.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"REDCapCAST: REDCap Metadata Casting and Castellated Data Handling — REDCapCAST-package","text":"Maintainer: Andreas Gammelgaard Damsbo agdamsbo@clin.au.dk (ORCID) Authors: Paul Egeler paulegeler@gmail.com (ORCID)","code":""},{"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. 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","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) { # \\dontrun{ # 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 REDCapCAST::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 REDCapCAST::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 REDCapCAST::REDCap_split(data, metadata) setwd(old) } # }"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/all_na.html","id":null,"dir":"Reference","previous_headings":"","what":"Check if vector is all NA — all_na","title":"Check if vector is all NA — all_na","text":"Check vector NA","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/all_na.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Check if vector is all NA — all_na","text":"","code":"all_na(data)"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/all_na.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Check if vector is all NA — all_na","text":"data vector data.frame","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/all_na.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Check if vector is all NA — all_na","text":"logical","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/all_na.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Check if vector is all NA — all_na","text":"","code":"rep(NA, 4) |> all_na() #> [1] TRUE"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/apply_factor_labels.html","id":null,"dir":"Reference","previous_headings":"","what":"Preserve all factor levels from REDCap data dictionary in data export — apply_factor_labels","title":"Preserve all factor levels from REDCap data dictionary in data export — apply_factor_labels","text":"Preserve factor levels REDCap data dictionary data export","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/apply_factor_labels.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Preserve all factor levels from REDCap data dictionary in data export — apply_factor_labels","text":"","code":"apply_factor_labels(data, meta = NULL)"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/apply_factor_labels.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Preserve all factor levels from REDCap data dictionary in data export — apply_factor_labels","text":"data REDCap exported data set meta REDCap data dictionary","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/apply_factor_labels.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Preserve all factor levels from REDCap data dictionary in data export — apply_factor_labels","text":"data.frame","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/apply_field_label.html","id":null,"dir":"Reference","previous_headings":"","what":"Apply REDCap filed labels to data frame — apply_field_label","title":"Apply REDCap filed labels to data frame — apply_field_label","text":"Apply REDCap filed labels data frame","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/apply_field_label.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Apply REDCap filed labels to data frame — apply_field_label","text":"","code":"apply_field_label(data, meta)"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/apply_field_label.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Apply REDCap filed labels to data frame — apply_field_label","text":"data REDCap exported data set meta REDCap data dictionary","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/apply_field_label.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Apply REDCap filed labels to data frame — apply_field_label","text":"data.frame","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/as_factor.html","id":null,"dir":"Reference","previous_headings":"","what":"Convert labelled vectors to factors while preserving attributes — as_factor","title":"Convert labelled vectors to factors while preserving attributes — as_factor","text":"extends as_factor well as_factor, appending original attributes except \"class\" converting factor avoid ta loss case rich formatted labelled data.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/as_factor.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Convert labelled vectors to factors while preserving attributes — as_factor","text":"","code":"as_factor(x, ...) # S3 method for class 'factor' as_factor(x, ...) # S3 method for class 'logical' as_factor(x, ...) # S3 method for class 'numeric' as_factor(x, ...) # S3 method for class 'character' as_factor(x, ...) # S3 method for class 'haven_labelled' as_factor( x, levels = c(\"default\", \"labels\", \"values\", \"both\"), ordered = FALSE, ... ) # S3 method for class 'labelled' as_factor( x, levels = c(\"default\", \"labels\", \"values\", \"both\"), ordered = FALSE, ... ) # S3 method for class 'data.frame' as_factor(x, ..., only_labelled = TRUE)"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/as_factor.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Convert labelled vectors to factors while preserving attributes — as_factor","text":"x Object coerce factor. ... arguments passed method. levels create levels generated factor: * \"default\": uses labels available, otherwise values. Labels sorted value. * \"\": like \"default\", pastes together level value * \"label\": use labels; unlabelled values become `NA` * \"values\": use values ordered `TRUE` create ordered (ordinal) factor, `FALSE` (default) create regular (nominal) factor. only_labelled apply labelled columns?","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/as_factor.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Convert labelled vectors to factors while preserving attributes — as_factor","text":"Please refer parent functions extended documentation. avoid redundancy calls errors, functions copy-pasted Empty variables empty levels attribute interpreted logicals","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/as_factor.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Convert labelled vectors to factors while preserving attributes — as_factor","text":"","code":"# will preserve all attributes c(1, 4, 3, \"A\", 7, 8, 1) |> as_factor() #> [1] 1 4 3 A 7 8 1 #> Levels: 1 4 3 A 7 8 structure(c(1, 2, 3, 2, 10, 9), labels = c(Unknown = 9, Refused = 10) ) |> as_factor() |> dput() #> structure(c(1L, 2L, 3L, 2L, 5L, 4L), levels = c(\"1\", \"2\", \"3\", #> \"9\", \"10\"), class = \"factor\", labels = c(Unknown = 9, Refused = 10 #> )) structure(c(1, 2, 3, 2, 10, 9), labels = c(Unknown = 9, Refused = 10), class = \"haven_labelled\" ) |> as_factor() |> class() #> [1] \"factor\" structure(rep(NA,10), class = c(\"labelled\") ) |> as_factor() |> summary() #> FALSE TRUE NA's #> 0 0 10 rep(NA,10) |> as_factor() #> [1] #> Levels: FALSE TRUE"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/as_logical.html","id":null,"dir":"Reference","previous_headings":"","what":"Interpret specific binary values as logicals — as_logical","title":"Interpret specific binary values as logicals — as_logical","text":"Interpret specific binary values logicals","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/as_logical.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Interpret specific binary values as logicals — as_logical","text":"","code":"as_logical( x, values = list(c(\"TRUE\", \"FALSE\"), c(\"Yes\", \"No\"), c(1, 0), c(1, 2)), ... ) # S3 method for class 'data.frame' as_logical( x, values = list(c(\"TRUE\", \"FALSE\"), c(\"Yes\", \"No\"), c(1, 0), c(1, 2)), ... ) # Default S3 method as_logical( x, values = list(c(\"TRUE\", \"FALSE\"), c(\"Yes\", \"No\"), c(1, 0), c(1, 2)), ... )"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/as_logical.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Interpret specific binary values as logicals — as_logical","text":"x vector data.frame values list values interpret logicals. First value ... ignored interpreted TRUE.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/as_logical.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Interpret specific binary values as logicals — as_logical","text":"vector","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/as_logical.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Interpret specific binary values as logicals — as_logical","text":"","code":"c(sample(c(\"TRUE\", \"FALSE\"), 20, TRUE), NA) |> as_logical() |> class() #> [1] \"logical\" ds <- dplyr::tibble( B = factor(sample(c(1, 2), 20, TRUE)), A = factor(sample(c(\"TRUE\", \"FALSE\"), 20, TRUE)), C = sample(c(3, 4), 20, TRUE), D = factor(sample(c(\"In\", \"Out\"), 20, TRUE)) ) ds |> as_logical() |> sapply(class) #> B A C D #> \"logical\" \"logical\" \"numeric\" \"factor\" ds$A |> class() #> [1] \"factor\" sample(c(\"TRUE\",NA), 20, TRUE) |> as_logical() #> [1] TRUE TRUE TRUE NA TRUE TRUE TRUE TRUE NA TRUE TRUE TRUE NA NA TRUE #> [16] TRUE TRUE TRUE NA TRUE as_logical(0) #> [1] FALSE"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/case_match_regex_list.html","id":null,"dir":"Reference","previous_headings":"","what":"List-base regex case_when — case_match_regex_list","title":"List-base regex case_when — case_match_regex_list","text":"Mimics case_when list regex patterns values. Used date/time validation generation name vector. Like case_when, matches order priority. Primarily used REDCapCAST data type coding systematic variable naming.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/case_match_regex_list.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"List-base regex case_when — case_match_regex_list","text":"","code":"case_match_regex_list(data, match.list, .default = NA)"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/case_match_regex_list.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"List-base regex case_when — case_match_regex_list","text":"data vector match.list list case matches .default Default value non-matches. Default NA.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/case_match_regex_list.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"List-base regex case_when — case_match_regex_list","text":"vector","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/case_match_regex_list.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"List-base regex case_when — case_match_regex_list","text":"","code":"case_match_regex_list( c(\"test_date\", \"test_time\", \"test_tida\", \"test_tid\"), list(date_dmy = \"_dat[eo]$\", time_hh_mm_ss = \"_ti[md]e?$\") ) #> [1] \"date_dmy\" \"time_hh_mm_ss\" NA \"time_hh_mm_ss\""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/cast_data_overview.html","id":null,"dir":"Reference","previous_headings":"","what":"Overview of REDCapCAST data for shiny — cast_data_overview","title":"Overview of REDCapCAST data for shiny — cast_data_overview","text":"Overview REDCapCAST data shiny","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/cast_data_overview.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Overview of REDCapCAST data for shiny — cast_data_overview","text":"","code":"cast_data_overview(data)"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/cast_data_overview.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Overview of REDCapCAST data for shiny — cast_data_overview","text":"data list class 'REDCapCAST'","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/cast_data_overview.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Overview of REDCapCAST data for shiny — cast_data_overview","text":"gt object","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/cast_meta_overview.html","id":null,"dir":"Reference","previous_headings":"","what":"Overview of REDCapCAST meta data for shiny — cast_meta_overview","title":"Overview of REDCapCAST meta data for shiny — cast_meta_overview","text":"Overview REDCapCAST meta data shiny","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/cast_meta_overview.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Overview of REDCapCAST meta data for shiny — cast_meta_overview","text":"","code":"cast_meta_overview(data)"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/cast_meta_overview.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Overview of REDCapCAST meta data for shiny — cast_meta_overview","text":"data list class 'REDCapCAST'","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/cast_meta_overview.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Overview of REDCapCAST meta data for shiny — cast_meta_overview","text":"gt object","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/char2choice.html","id":null,"dir":"Reference","previous_headings":"","what":"Simple function to generate REDCap choices from character vector — char2choice","title":"Simple function to generate REDCap choices from character vector — char2choice","text":"Simple function generate REDCap choices character vector","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/char2choice.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Simple function to generate REDCap choices from character vector — char2choice","text":"","code":"char2choice(data, char.split = \"/\", raw = NULL, .default = NA)"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/char2choice.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Simple function to generate REDCap choices from character vector — char2choice","text":"data vector char.split splitting character(s) raw specific values. Can used options length. .default default value missing. Default NA.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/char2choice.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Simple function to generate REDCap choices from character vector — char2choice","text":"vector","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/char2choice.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Simple function to generate REDCap choices from character vector — char2choice","text":"","code":"char2choice(c(\"yes/no\",\" yep. / nope \",\"\",NA,\"what\"),.default=NA) #> [1] \"1, yes | 2, no\" \"1, yep. | 2, nope\" NA #> [4] NA \"1, what\""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/char2cond.html","id":null,"dir":"Reference","previous_headings":"","what":"Simple function to generate REDCap branching logic from character vector — char2cond","title":"Simple function to generate REDCap branching logic from character vector — char2cond","text":"Simple function generate REDCap branching logic character vector","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/char2cond.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Simple function to generate REDCap branching logic from character vector — char2cond","text":"","code":"char2cond( data, minor.split = \",\", major.split = \";\", major.sep = \" or \", .default = NA )"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/char2cond.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Simple function to generate REDCap branching logic from character vector — char2cond","text":"data vector minor.split minor split major.split major split major.sep argument separation. Default \" \". .default default value missing. Default NA.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/char2cond.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Simple function to generate REDCap branching logic from character vector — char2cond","text":"vector","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/char2cond.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Simple function to generate REDCap branching logic from character vector — char2cond","text":"","code":"#data <- dd_inst$betingelse #c(\"Extubation_novent, 2; Pacu_delay, 1\") |> char2cond()"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/clean_field_label.html","id":null,"dir":"Reference","previous_headings":"","what":"Very simple function to remove rich text formatting from field label and save the first paragraph ('...<\/p>'). — clean_field_label","title":"Very simple function to remove rich text formatting from field label and save the first paragraph ('
...<\/p>'). — clean_field_label","text":"simple function remove rich text formatting field label save first paragraph ('
...<\/p>').","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/clean_field_label.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Very simple function to remove rich text formatting from field label and save the first paragraph ('
...<\/p>'). — clean_field_label","text":"","code":"clean_field_label(data)"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/clean_field_label.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Very simple function to remove rich text formatting from field label and save the first paragraph ('
...<\/p>'). — clean_field_label","text":"data field label","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/clean_field_label.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Very simple function to remove rich text formatting from field label and save the first paragraph ('
...<\/p>'). — clean_field_label","text":"character vector","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/clean_field_label.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Very simple function to remove rich text formatting from field label and save the first paragraph ('
...<\/p>'). — clean_field_label","text":"","code":"clean_field_label(\"
Fazekas score<\/p><\/div>\") #> [1] \"Fazekas score\""},{"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/clean_redcap_name.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"clean_redcap_name — clean_redcap_name","text":"","code":"\"Research!, ne:ws? and c;l-.ls\" |> clean_redcap_name() #> [1] \"research_news_and_clls\""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/compact_vec.html","id":null,"dir":"Reference","previous_headings":"","what":"Compacting a vector of any length with or without names — compact_vec","title":"Compacting a vector of any length with or without names — compact_vec","text":"Compacting vector length without names","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/compact_vec.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Compacting a vector of any length with or without names — compact_vec","text":"","code":"compact_vec(data, nm.sep = \": \", val.sep = \"; \")"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/compact_vec.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Compacting a vector of any length with or without names — compact_vec","text":"data vector, optionally named nm.sep string separating name value val.sep string separating values","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/compact_vec.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Compacting a vector of any length with or without names — compact_vec","text":"character string","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/compact_vec.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Compacting a vector of any length with or without names — compact_vec","text":"","code":"sample(seq_len(4), 20, TRUE) |> as_factor() |> named_levels() |> sort() |> compact_vec() #> [1] \"1: 1; 2: 2; 3: 3; 4: 4\" 1:6 |> compact_vec() #> [1] \"1; 2; 3; 4; 5; 6\" \"test\" |> compact_vec() #> [1] \"test\" sample(letters[1:9], 20, TRUE) |> compact_vec() #> [1] \"g; e; d; a; c; g; a; f; g; h; f; a; d; b; f; e; c; d; f; b\""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/create_html_table.html","id":null,"dir":"Reference","previous_headings":"","what":"Create two-column HTML table for data piping in REDCap instruments — create_html_table","title":"Create two-column HTML table for data piping in REDCap instruments — create_html_table","text":"Create two-column HTML table data piping REDCap instruments","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/create_html_table.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Create two-column HTML table for data piping in REDCap instruments — create_html_table","text":"","code":"create_html_table(text, variable)"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/create_html_table.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Create two-column HTML table for data piping in REDCap instruments — create_html_table","text":"text descriptive text variable variable pipe","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/create_html_table.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Create two-column HTML table for data piping in REDCap instruments — create_html_table","text":"character vector","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/create_html_table.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Create two-column HTML table for data piping in REDCap instruments — create_html_table","text":"","code":"create_html_table(text = \"Patient ID\", variable = c(\"[cpr]\")) #>
Patient ID
<\/span><\/h5> <\/td> [cpr]<\/span><\/h5> <\/td> <\/tr><\/tbody> <\/table> create_html_table(text = paste(\"assessor\", 1:2, sep = \"_\"), variable = c(\"[cpr]\")) #> assessor_1
<\/span><\/h5> <\/td> [cpr]<\/span><\/h5> <\/td> <\/tr> assessor_2
<\/span><\/h5> <\/td> [cpr]<\/span><\/h5> <\/td> <\/tr><\/tbody> <\/table> # create_html_table(text = c(\"CPR nummer\",\"Word\"), variable = c(\"[cpr][1]\", \"[cpr][2]\", \"[test]\"))"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/create_instrument_meta.html","id":null,"dir":"Reference","previous_headings":"","what":"DEPRICATED Create zips file with necessary content based on data set — create_instrument_meta","title":"DEPRICATED Create zips file with necessary content based on data set — create_instrument_meta","text":"Metadata can added editing data dictionary project initial design phase. want later add new instruments, function can used create () instrument(s) add project production.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/create_instrument_meta.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"DEPRICATED Create zips file with necessary content based on data set — create_instrument_meta","text":"","code":"create_instrument_meta(data, dir = here::here(\"\"), record.id = TRUE)"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/create_instrument_meta.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"DEPRICATED Create zips file with necessary content based on data set — create_instrument_meta","text":"data metadata relevant instrument. `ds2dd_detailed()` dir destination dir instrument zip. Default current WD. record.id flag omit first row data dictionary assuming record_id field included instrument. Default TRUE.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/create_instrument_meta.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"DEPRICATED Create zips file with necessary content based on data set — create_instrument_meta","text":"list","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/create_instrument_meta.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"DEPRICATED Create zips file with necessary content based on data set — create_instrument_meta","text":"","code":"if (FALSE) { # \\dontrun{ data <- iris |> ds2dd_detailed( add.auto.id = TRUE, form.name = sample(c(\"b\", \"c\"), size = 6, replace = TRUE, prob = rep(.5, 2) ) ) |> purrr::pluck(\"meta\") # data |> create_instrument_meta() data <- iris |> ds2dd_detailed(add.auto.id = FALSE) |> purrr::pluck(\"data\") iris |> setNames(glue::glue(\"{sample(x = c('a','b'),size = length(ncol(iris)), replace=TRUE,prob = rep(x=.5,2))}__{names(iris)}\")) |> ds2dd_detailed(form.sep = \"__\") data |> purrr::pluck(\"meta\") |> create_instrument_meta(record.id = FALSE) } # }"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/cut_string_length.html","id":null,"dir":"Reference","previous_headings":"","what":"Cut string to desired length — cut_string_length","title":"Cut string to desired length — cut_string_length","text":"Cut string desired length","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/cut_string_length.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cut string to desired length — cut_string_length","text":"","code":"cut_string_length(data, l = 100)"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/cut_string_length.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Cut string to desired length — cut_string_length","text":"data data l length","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/cut_string_length.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Cut string to desired length — cut_string_length","text":"character string length l","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/cut_string_length.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Cut string to desired length — cut_string_length","text":"","code":"\"length\" |> cut_string_length(l=3) #> [1] \"len\""},{"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/doc2dd.html","id":null,"dir":"Reference","previous_headings":"","what":"Doc table to data dictionary - EARLY, DOCS MISSING — doc2dd","title":"Doc table to data dictionary - EARLY, DOCS MISSING — doc2dd","text":"Works well `project.aid::docx2list()`. Allows defining database text document (see provided template) easier use data base creation. approach allows easier collaboration defining database. generic case data frame variable names values column. format like REDCap data dictionary, gives options formatting.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/doc2dd.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Doc table to data dictionary - EARLY, DOCS MISSING — doc2dd","text":"","code":"doc2dd( data, instrument.name, col.variables = 1, list.datetime.format = list(date_dmy = \"_dat[eo]$\", time_hh_mm_ss = \"_ti[md]e?$\"), col.description = NULL, col.condition = NULL, col.subheader = NULL, subheader.tag = \"h2\", condition.minor.sep = \",\", condition.major.sep = \";\", col.calculation = NULL, col.choices = NULL, choices.char.sep = \"/\", missing.default = NA )"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/doc2dd.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Doc table to data dictionary - EARLY, DOCS MISSING — doc2dd","text":"data tibble data.frame variable names one column instrument.name character vector length one. Instrument name. col.variables variable names column (default = 1), allows dplyr subsetting list.datetime.format formatting date/time detection. See `case_match_regex_list()` col.description descriptions column, allows dplyr subsetting. empty, variable names used. col.condition conditions branching column, allows dplyr subsetting. See `char2cond()`. col.subheader sub-header column, allows dplyr subsetting. See `format_subheader()`. subheader.tag formatting tag. Default \"h2\" condition.minor.sep condition split minor. See `char2cond()`. Default \",\". condition.major.sep condition split major. See `char2cond()`. Default \";\". col.calculation calculations column. written exact. Character vector. col.choices choices column. See `char2choice()`. choices.char.sep choices split. See `char2choice()`. Default \"/\". missing.default value missing fields. Default NA.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/doc2dd.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Doc table to data dictionary - EARLY, DOCS MISSING — doc2dd","text":"tibble data.frame (data)","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/doc2dd.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Doc table to data dictionary - EARLY, DOCS MISSING — doc2dd","text":"","code":"# data <- dd_inst # data |> doc2dd(instrument.name = \"evt\", # col.description = 3, # col.condition = 4, # col.subheader = 2, # col.calculation = 5, # col.choices = 6)"},{"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 = names(REDCapCAST::redcapcast_meta) )"},{"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 names(REDCapCAST::redcapcast_meta).","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 con_mrs basis NA text #> 22 con_calc basis NA text #> 23 consensus_complete basis NA text #> 24 event_datetime basis NA text #> 25 event_age basis NA text #> 26 event_type basis NA text #> 27 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 con_mrs NA NA #> 22 con_calc NA NA #> 23 consensus_complete NA NA #> 24 event_datetime NA NA #> 25 event_age NA NA #> 26 event_type NA NA #> 27 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 #> 25 NA NA #> 26 NA NA #> 27 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 #> 25 NA NA NA NA #> 26 NA NA NA NA #> 27 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 #> 25 NA NA NA NA #> 26 NA NA NA NA #> 27 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 #> 25 NA #> 26 NA #> 27 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] \"con_mrs\" \"con_calc\" #> [23] \"consensus_complete\" \"event_datetime\" #> [25] \"event_age\" \"event_type\" #> [27] \"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, form.sep = NULL, form.prefix = TRUE, field.type = NULL, field.label = NULL, field.label.attr = \"label\", field.validation = NULL, metadata = names(REDCapCAST::redcapcast_meta), convert.logicals = FALSE )"},{"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. form.sep supplied dataset form names suffix prefix column/variable names, seperator can specified. supplied, form.name ignored. Default NULL. form.prefix Flag set form prefix (TRUE) suffix (FALSE) column names. Assumes columns pre- suffix specified. 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 names(REDCapCAST::redcapcast_meta). convert.logicals convert logicals factor. Default TRUE.","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":"## Basic parsing with default options requireNamespace(\"REDCapCAST\") redcapcast_data |> dplyr::select(-dplyr::starts_with(\"redcap_\")) |> ds2dd_detailed() #> $data #> # A tibble: 25 × 24 #> record_id cpr inclusion inclusion_time dob age age_integer sex #> #> 1 1 12034… 2023-03-13 12:38:49 1940-03-12 83.0 83 fema… #> 2 2 01023… 2023-03-01 10:38:57 1934-02-01 89.1 89 male #> 3 2 NA NA NA NA NA NA NA #> 4 2 NA NA NA NA NA NA NA #> 5 3 23015… 2022-03-08 12:01:07 1956-01-23 66.1 66 male #> 6 3 NA NA NA NA NA NA NA #> 7 3 NA NA NA NA NA NA NA #> 8 3 NA NA NA NA NA NA NA #> 9 3 NA NA NA NA NA NA NA #> 10 3 NA NA NA NA NA NA NA #> # ℹ 15 more rows #> # ℹ 16 more variables: cohabitation , hypertension , diabetes , #> # region , baseline_data_start_complete , mrs_assessed , #> # mrs_date , mrs_score , mrs_complete , con_mrs , #> # con_calc , consensus_complete , event_datetime , #> # event_age , event_type , new_event_complete #> #> $meta #> # A tibble: 24 × 18 #> field_name form_name section_header field_type field_label #> #> 1 record_id data NA text record_id #> 2 cpr data NA text cpr #> 3 inclusion data NA text inclusion #> 4 inclusion_time data NA text inclusion_time #> 5 dob data NA text dob #> 6 age data NA text age #> 7 age_integer data NA text age_integer #> 8 sex data NA text sex #> 9 cohabitation data NA text cohabitation #> 10 hypertension data NA text hypertension #> # ℹ 14 more rows #> # ℹ 13 more variables: select_choices_or_calculations , field_note , #> # text_validation_type_or_show_slider_number , #> # text_validation_min , text_validation_max , identifier , #> # branching_logic , required_field , custom_alignment , #> # question_number , matrix_group_name , matrix_ranking , #> # field_annotation #> #> attr(,\"class\") #> [1] \"REDCapCAST\" \"list\" ## Adding a record_id field iris |> ds2dd_detailed(add.auto.id = TRUE) #> $data #> # A tibble: 150 × 6 #> record_id sepallength sepalwidth petallength petalwidth species #> #> 1 1 5.1 3.5 1.4 0.2 1 #> 2 2 4.9 3 1.4 0.2 1 #> 3 3 4.7 3.2 1.3 0.2 1 #> 4 4 4.6 3.1 1.5 0.2 1 #> 5 5 5 3.6 1.4 0.2 1 #> 6 6 5.4 3.9 1.7 0.4 1 #> 7 7 4.6 3.4 1.4 0.3 1 #> 8 8 5 3.4 1.5 0.2 1 #> 9 9 4.4 2.9 1.4 0.2 1 #> 10 10 4.9 3.1 1.5 0.1 1 #> # ℹ 140 more rows #> #> $meta #> # A tibble: 6 × 18 #> field_name form_name section_header field_type field_label #> #> 1 record_id data NA text record_id #> 2 sepallength data NA text Sepal.Length #> 3 sepalwidth data NA text Sepal.Width #> 4 petallength data NA text Petal.Length #> 5 petalwidth data NA text Petal.Width #> 6 species data NA radio Species #> # ℹ 13 more variables: select_choices_or_calculations , field_note , #> # text_validation_type_or_show_slider_number , #> # text_validation_min , text_validation_max , identifier , #> # branching_logic , required_field , custom_alignment , #> # question_number , matrix_group_name , matrix_ranking , #> # field_annotation #> #> attr(,\"class\") #> [1] \"REDCapCAST\" \"list\" ## Passing form name information to function iris |> ds2dd_detailed( add.auto.id = TRUE, form.name = sample(c(\"b\", \"c\"), size = 6, replace = TRUE, prob = rep(.5, 2)) ) |> purrr::pluck(\"meta\") #> # A tibble: 6 × 18 #> field_name form_name section_header field_type field_label #> #> 1 record_id c NA text record_id #> 2 sepallength b NA text Sepal.Length #> 3 sepalwidth c NA text Sepal.Width #> 4 petallength b NA text Petal.Length #> 5 petalwidth c NA text Petal.Width #> 6 species b NA radio Species #> # ℹ 13 more variables: select_choices_or_calculations , field_note , #> # text_validation_type_or_show_slider_number , #> # text_validation_min , text_validation_max , identifier , #> # branching_logic , required_field , custom_alignment , #> # question_number , matrix_group_name , matrix_ranking , #> # field_annotation mtcars |> dplyr::mutate(unknown = NA) |> numchar2fct() |> ds2dd_detailed(add.auto.id = TRUE) #> $data #> # A tibble: 32 × 13 #> record_id mpg cyl disp hp drat wt qsec vs am gear carb #> #> 1 1 21 2 160 110 3.9 2.62 16.5 1 2 2 4 #> 2 2 21 2 160 110 3.9 2.88 17.0 1 2 2 4 #> 3 3 22.8 1 108 93 3.85 2.32 18.6 2 2 2 1 #> 4 4 21.4 2 258 110 3.08 3.22 19.4 2 1 1 1 #> 5 5 18.7 3 360 175 3.15 3.44 17.0 1 1 1 2 #> 6 6 18.1 2 225 105 2.76 3.46 20.2 2 1 1 1 #> 7 7 14.3 3 360 245 3.21 3.57 15.8 1 1 1 4 #> 8 8 24.4 1 147. 62 3.69 3.19 20 2 1 2 2 #> 9 9 22.8 1 141. 95 3.92 3.15 22.9 2 1 2 2 #> 10 10 19.2 2 168. 123 3.92 3.44 18.3 2 1 2 4 #> # ℹ 22 more rows #> # ℹ 1 more variable: unknown #> #> $meta #> # A tibble: 13 × 18 #> field_name form_name section_header field_type field_label #> #> 1 record_id data NA text record_id #> 2 mpg data NA text mpg #> 3 cyl data NA radio 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 radio vs #> 10 am data NA radio am #> 11 gear data NA radio gear #> 12 carb data NA radio carb #> 13 unknown data NA truefalse unknown #> # ℹ 13 more variables: select_choices_or_calculations , field_note , #> # text_validation_type_or_show_slider_number , #> # text_validation_min , text_validation_max , identifier , #> # branching_logic , required_field , custom_alignment , #> # question_number , matrix_group_name , matrix_ranking , #> # field_annotation #> #> attr(,\"class\") #> [1] \"REDCapCAST\" \"list\" ## Using column name suffix to carry form name data <- iris |> ds2dd_detailed(add.auto.id = TRUE) |> purrr::pluck(\"data\") names(data) <- glue::glue(\"{sample(x = c('a','b'),size = length(names(data)), replace=TRUE,prob = rep(x=.5,2))}__{names(data)}\") data |> ds2dd_detailed(form.sep = \"__\") #> $data #> # A tibble: 150 × 6 #> record_id sepallength sepalwidth petallength petalwidth species #> #> 1 1 5.1 3.5 1.4 0.2 1 #> 2 2 4.9 3 1.4 0.2 1 #> 3 3 4.7 3.2 1.3 0.2 1 #> 4 4 4.6 3.1 1.5 0.2 1 #> 5 5 5 3.6 1.4 0.2 1 #> 6 6 5.4 3.9 1.7 0.4 1 #> 7 7 4.6 3.4 1.4 0.3 1 #> 8 8 5 3.4 1.5 0.2 1 #> 9 9 4.4 2.9 1.4 0.2 1 #> 10 10 4.9 3.1 1.5 0.1 1 #> # ℹ 140 more rows #> #> $meta #> # A tibble: 6 × 18 #> field_name form_name section_header field_type field_label #> #> 1 record_id b NA text record_id #> 2 sepallength a NA text sepallength #> 3 sepalwidth a NA text sepalwidth #> 4 petallength a NA text petallength #> 5 petalwidth a NA text petalwidth #> 6 species a NA text species #> # ℹ 13 more variables: select_choices_or_calculations , field_note , #> # text_validation_type_or_show_slider_number , #> # text_validation_min , text_validation_max , identifier , #> # branching_logic , required_field , custom_alignment , #> # question_number , matrix_group_name , matrix_ranking , #> # field_annotation #> #> attr(,\"class\") #> [1] \"REDCapCAST\" \"list\""},{"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, uri, raw_or_label = \"both\", data_format = c(\"wide\", \"list\", \"redcap\", \"long\"), widen.data = NULL, ... )"},{"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 key_set, using default keyring) uri REDCap database API uri raw_or_label argument passed read_redcap_tables. Default \"\" get labelled data. data_format Choose data widen.data argument widen exported data. [DEPRECATED], use `data_format`instead ... arguments passed 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/easy_redcap.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Secure API key storage and data acquisition in one — easy_redcap","text":"","code":"if (FALSE) { # \\dontrun{ easy_redcap(\"My_new_project\", fields = c(\"record_id\", \"age\", \"hypertension\")) } # }"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/export_redcap_instrument.html","id":null,"dir":"Reference","previous_headings":"","what":"Creates zip-file with necessary content to manually add instrument to database — export_redcap_instrument","title":"Creates zip-file with necessary content to manually add instrument to database — export_redcap_instrument","text":"Metadata can added editing data dictionary project initial design phase. want later add new instruments, function can used create () instrument(s) add project production.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/export_redcap_instrument.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Creates zip-file with necessary content to manually add instrument to database — export_redcap_instrument","text":"","code":"export_redcap_instrument( data, file = here::here(paste0(\"instrument_\", Sys.Date(), \".zip\")), force = FALSE, record.id = \"record_id\" )"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/export_redcap_instrument.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Creates zip-file with necessary content to manually add instrument to database — export_redcap_instrument","text":"data metadata relevant instrument. `ds2dd_detailed()` file destination file name. force force instrument creation ignore different form names just using first. record.id record id variable name. Default 'record_id'.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/export_redcap_instrument.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Creates zip-file with necessary content to manually add instrument to database — export_redcap_instrument","text":"exports zip-file","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/export_redcap_instrument.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Creates zip-file with necessary content to manually add instrument to database — export_redcap_instrument","text":"","code":"# iris |> # ds2dd_detailed( # add.auto.id = TRUE, # form.name = sample(c(\"b\", \"c\"), size = 6, replace = TRUE, prob = rep(.5, 2)) # ) |> # purrr::pluck(\"meta\") |> # (\\(.x){ # split(.x, .x$form_name) # })() |> # purrr::imap(function(.x, .i){ # export_redcap_instrument(.x,file=here::here(paste0(.i,Sys.Date(),\".zip\"))) # }) # iris |> # ds2dd_detailed( # add.auto.id = TRUE # ) |> # purrr::pluck(\"meta\") |> # export_redcap_instrument(file=here::here(paste0(\"instrument\",Sys.Date(),\".zip\")))"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/fct2num.html","id":null,"dir":"Reference","previous_headings":"","what":"Allows conversion of factor to numeric values preserving original levels — fct2num","title":"Allows conversion of factor to numeric values preserving original levels — fct2num","text":"Allows conversion factor numeric values preserving original levels","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/fct2num.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Allows conversion of factor to numeric values preserving original levels — fct2num","text":"","code":"fct2num(data)"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/fct2num.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Allows conversion of factor to numeric values preserving original levels — fct2num","text":"data vector","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/fct2num.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Allows conversion of factor to numeric values preserving original levels — fct2num","text":"numeric vector","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/fct2num.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Allows conversion of factor to numeric values preserving original levels — fct2num","text":"","code":"c(1, 4, 3, \"A\", 7, 8, 1) |> as_factor() |> fct2num() #> [1] 1 2 3 4 5 6 1 structure(c(1, 2, 3, 2, 10, 9), labels = c(Unknown = 9, Refused = 10), class = \"haven_labelled\" ) |> as_factor() |> fct2num() #> [1] 1 2 3 2 10 9 structure(c(1, 2, 3, 2, 10, 9), labels = c(Unknown = 9, Refused = 10), class = \"labelled\" ) |> as_factor() |> fct2num() #> [1] 1 2 3 2 10 9 structure(c(1, 2, 3, 2, 10, 9), labels = c(Unknown = 9, Refused = 10) ) |> as_factor() |> fct2num() #> [1] 1 2 3 2 NA NA"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/fct_drop.html","id":null,"dir":"Reference","previous_headings":"","what":"Drop unused levels preserving label data — fct_drop","title":"Drop unused levels preserving label data — fct_drop","text":"extends [forcats::fct_drop()] natively work across data.frame replaces [base::droplevels()].","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/fct_drop.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Drop unused levels preserving label data — fct_drop","text":"","code":"fct_drop(x, ...) # S3 method for class 'data.frame' fct_drop(x, ...) # S3 method for class 'factor' fct_drop(x, ...)"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/fct_drop.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Drop unused levels preserving label data — fct_drop","text":"x Factor drop unused levels ... arguments passed method.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/fct_drop.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Drop unused levels preserving label data — fct_drop","text":"","code":"mtcars |> numchar2fct() |> fct_drop() #> # A tibble: 32 × 11 #> mpg cyl disp hp drat wt qsec vs am gear carb #> #> 1 21 6 160 110 3.9 2.62 16.5 0 1 4 4 #> 2 21 6 160 110 3.9 2.88 17.0 0 1 4 4 #> 3 22.8 4 108 93 3.85 2.32 18.6 1 1 4 1 #> 4 21.4 6 258 110 3.08 3.22 19.4 1 0 3 1 #> 5 18.7 8 360 175 3.15 3.44 17.0 0 0 3 2 #> 6 18.1 6 225 105 2.76 3.46 20.2 1 0 3 1 #> 7 14.3 8 360 245 3.21 3.57 15.8 0 0 3 4 #> 8 24.4 4 147. 62 3.69 3.19 20 1 0 4 2 #> 9 22.8 4 141. 95 3.92 3.15 22.9 1 0 4 2 #> 10 19.2 6 168. 123 3.92 3.44 18.3 1 0 4 4 #> # ℹ 22 more rows mtcars |> numchar2fct() |> dplyr::mutate(vs = fct_drop(vs)) #> mpg cyl disp hp drat wt qsec vs am gear carb #> Mazda RX4 21.0 6 160.0 110 3.90 2.620 16.46 0 1 4 4 #> Mazda RX4 Wag 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 4 #> Datsun 710 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1 #> Hornet 4 Drive 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 1 #> Hornet Sportabout 18.7 8 360.0 175 3.15 3.440 17.02 0 0 3 2 #> Valiant 18.1 6 225.0 105 2.76 3.460 20.22 1 0 3 1 #> Duster 360 14.3 8 360.0 245 3.21 3.570 15.84 0 0 3 4 #> Merc 240D 24.4 4 146.7 62 3.69 3.190 20.00 1 0 4 2 #> Merc 230 22.8 4 140.8 95 3.92 3.150 22.90 1 0 4 2 #> Merc 280 19.2 6 167.6 123 3.92 3.440 18.30 1 0 4 4 #> Merc 280C 17.8 6 167.6 123 3.92 3.440 18.90 1 0 4 4 #> Merc 450SE 16.4 8 275.8 180 3.07 4.070 17.40 0 0 3 3 #> Merc 450SL 17.3 8 275.8 180 3.07 3.730 17.60 0 0 3 3 #> Merc 450SLC 15.2 8 275.8 180 3.07 3.780 18.00 0 0 3 3 #> Cadillac Fleetwood 10.4 8 472.0 205 2.93 5.250 17.98 0 0 3 4 #> Lincoln Continental 10.4 8 460.0 215 3.00 5.424 17.82 0 0 3 4 #> Chrysler Imperial 14.7 8 440.0 230 3.23 5.345 17.42 0 0 3 4 #> Fiat 128 32.4 4 78.7 66 4.08 2.200 19.47 1 1 4 1 #> Honda Civic 30.4 4 75.7 52 4.93 1.615 18.52 1 1 4 2 #> Toyota Corolla 33.9 4 71.1 65 4.22 1.835 19.90 1 1 4 1 #> Toyota Corona 21.5 4 120.1 97 3.70 2.465 20.01 1 0 3 1 #> Dodge Challenger 15.5 8 318.0 150 2.76 3.520 16.87 0 0 3 2 #> AMC Javelin 15.2 8 304.0 150 3.15 3.435 17.30 0 0 3 2 #> Camaro Z28 13.3 8 350.0 245 3.73 3.840 15.41 0 0 3 4 #> Pontiac Firebird 19.2 8 400.0 175 3.08 3.845 17.05 0 0 3 2 #> Fiat X1-9 27.3 4 79.0 66 4.08 1.935 18.90 1 1 4 1 #> Porsche 914-2 26.0 4 120.3 91 4.43 2.140 16.70 0 1 5 2 #> Lotus Europa 30.4 4 95.1 113 3.77 1.513 16.90 1 1 5 2 #> Ford Pantera L 15.8 8 351.0 264 4.22 3.170 14.50 0 1 5 4 #> Ferrari Dino 19.7 6 145.0 175 3.62 2.770 15.50 0 1 5 6 #> Maserati Bora 15.0 8 301.0 335 3.54 3.570 14.60 0 1 5 8 #> Volvo 142E 21.4 4 121.0 109 4.11 2.780 18.60 1 1 4 2"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/file_extension.html","id":null,"dir":"Reference","previous_headings":"","what":"DEPRECATED Helper to import files correctly — file_extension","title":"DEPRECATED Helper to import files correctly — file_extension","text":"DEPRECATED Helper import files correctly","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/file_extension.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"DEPRECATED Helper to import files correctly — file_extension","text":"","code":"file_extension(filenames)"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/file_extension.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"DEPRECATED Helper to import files correctly — file_extension","text":"filenames file names","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/file_extension.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"DEPRECATED Helper to import files correctly — file_extension","text":"character vector","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/file_extension.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"DEPRECATED Helper to import files correctly — file_extension","text":"","code":"file_extension(list.files(here::here(\"\"))[[2]])[[1]] #> [1] \"\" file_extension(c(\"file.cd..ks\", \"file\")) #> [1] \"ks\" \"\""},{"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/format_redcap_factor.html","id":null,"dir":"Reference","previous_headings":"","what":"Converts REDCap choices to factor levels and stores in labels attribute — format_redcap_factor","title":"Converts REDCap choices to factor levels and stores in labels attribute — format_redcap_factor","text":"Applying as_factor data.frame variable, coerce factor.","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/format_redcap_factor.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Converts REDCap choices to factor levels and stores in labels attribute — format_redcap_factor","text":"","code":"format_redcap_factor(data, meta)"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/format_redcap_factor.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Converts REDCap choices to factor levels and stores in labels attribute — format_redcap_factor","text":"data vector meta vector REDCap choices","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/format_redcap_factor.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Converts REDCap choices to factor levels and stores in labels attribute — format_redcap_factor","text":"vector class \"labelled\" \"labels\" attribute","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/format_redcap_factor.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Converts REDCap choices to factor levels and stores in labels attribute — format_redcap_factor","text":"","code":"format_redcap_factor(sample(1:3, 20, TRUE), \"1, First. | 2, second | 3, THIRD\") #> [1] 3 3 3 3 2 3 3 3 2 3 2 2 1 1 2 2 1 1 3 1 #> attr(,\"labels\") #> First. second THIRD #> \"1\" \"2\" \"3\" #> attr(,\"class\") #> [1] \"labelled\""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/format_subheader.html","id":null,"dir":"Reference","previous_headings":"","what":"Sub-header formatting wrapper — format_subheader","title":"Sub-header formatting wrapper — format_subheader","text":"Sub-header formatting wrapper","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/format_subheader.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Sub-header formatting wrapper — format_subheader","text":"","code":"format_subheader(data, tag = \"h2\")"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/format_subheader.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Sub-header formatting wrapper — format_subheader","text":"data character vector tag character vector length 1","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/format_subheader.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Sub-header formatting wrapper — format_subheader","text":"character vector","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/format_subheader.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Sub-header formatting wrapper — format_subheader","text":"","code":"\"Instrument header\" |> format_subheader() #> Instrument header<\/h2><\/div>"},{"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":"Attempting make secure API key storage simple, way makes sense. Wrapping key_get key_set using key_list check key storage already.","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 ... passed key_set","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_attr.html","id":null,"dir":"Reference","previous_headings":"","what":"Extract attribute. Returns NA if none — get_attr","title":"Extract attribute. Returns NA if none — get_attr","text":"Extract attribute. Returns NA none","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/get_attr.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Extract attribute. Returns NA if none — get_attr","text":"","code":"get_attr(data, attr = NULL)"},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/get_attr.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Extract attribute. Returns NA if none — get_attr","text":"data vector attr attribute name","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/get_attr.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Extract attribute. Returns NA if none — get_attr","text":"character vector","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/get_attr.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Extract attribute. Returns NA if none — get_attr","text":"","code":"attr(mtcars$mpg, \"label\") <- \"testing\" do.call(c, sapply(mtcars, get_attr)) #> $mpg.label #> [1] \"testing\" #> if (FALSE) { # \\dontrun{ mtcars |> numchar2fct(numeric.threshold = 6) |> ds2dd_detailed() } # }"},{"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.html","id":null,"dir":"Reference","previous_headings":"","what":"Guess time variables based on naming pattern — guess_time_only","title":"Guess time variables based on naming pattern — guess_time_only","text":"repairing data time variables appended \"1970-01-01\"","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/guess_time_only.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Guess time variables based on naming pattern — guess_time_only","text":"","code":"guess_time_only( data, 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/guess_time_only.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Guess time variables based on naming pattern — guess_time_only","text":"data data.frame tibble 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/guess_time_only.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Guess time variables based on naming pattern — guess_time_only","text":"data.frame tibble","code":""},{"path":"https://agdamsbo.github.io/REDCapCAST/reference/guess_time_only.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Guess time variables based on naming pattern — guess_time_only","text":"","code":"redcapcast_data |> guess_time_only(validate.time = TRUE) #> $is.POSIX #> # A tibble: 25 × 2 #> inclusion_time event_datetime #> | | | | | |