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8 Commits

Author SHA1 Message Date
6abee8f78e
minor app updates 2024-06-07 12:01:09 +02:00
70f7ab188b
new comments 2024-06-07 11:22:41 +02:00
2697206272
minor 2024-06-07 11:16:58 +02:00
9378da535e
badge 2024-06-07 11:02:03 +02:00
bf9cf328cc
docs 2024-06-07 10:58:01 +02:00
4a56f4ec45 major update with new functions and renv is out! see NEWS section 2024-06-07 10:35:38 +02:00
Andreas Gammelgaard Damsbo
b35142f0cc
Merge pull request #13 from agdamsbo/agdamsbo-patch-3
Create FUNDING.yml
2024-06-07 10:19:02 +02:00
Andreas Gammelgaard Damsbo
104220d10d
Create FUNDING.yml 2024-06-07 10:14:42 +02:00
22 changed files with 184 additions and 137 deletions

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@ -6,7 +6,7 @@ options(
) )
source("renv/activate.R") # source("renv/activate.R")
if (interactive()) { if (interactive()) {
suppressMessages(require(usethis)) suppressMessages(require(usethis))

14
.github/FUNDING.yml vendored Normal file
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@ -0,0 +1,14 @@
# These are supported funding model platforms
github: # Replace with up to 4 GitHub Sponsors-enabled usernames e.g., [user1, user2]
patreon: # Replace with a single Patreon username
open_collective: # Replace with a single Open Collective username
ko_fi: # Replace with a single Ko-fi username
tidelift: # Replace with a single Tidelift platform-name/package-name e.g., npm/babel
community_bridge: # Replace with a single Community Bridge project-name e.g., cloud-foundry
liberapay: agdamsbo
issuehunt: # Replace with a single IssueHunt username
lfx_crowdfunding: # Replace with a single LFX Crowdfunding project-name e.g., cloud-foundry
polar: # Replace with a single Polar username
buy_me_a_coffee: agdamsbo
custom: # Replace with up to 4 custom sponsorship URLs e.g., ['link1', 'link2']

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@ -39,7 +39,7 @@ jobs:
http-user-agent: ${{ matrix.config.http-user-agent }} http-user-agent: ${{ matrix.config.http-user-agent }}
use-public-rspm: true use-public-rspm: true
- uses: r-lib/actions/setup-renv@v2 # - uses: r-lib/actions/setup-renv@v2
- uses: r-lib/actions/setup-r-dependencies@v2 - uses: r-lib/actions/setup-r-dependencies@v2
with: with:

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@ -30,7 +30,7 @@ jobs:
with: with:
use-public-rspm: true use-public-rspm: true
- uses: r-lib/actions/setup-renv@v2 # - uses: r-lib/actions/setup-renv@v2
- uses: r-lib/actions/setup-r-dependencies@v2 - uses: r-lib/actions/setup-r-dependencies@v2
with: with:

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@ -21,7 +21,7 @@ jobs:
with: with:
use-public-rspm: true use-public-rspm: true
- uses: r-lib/actions/setup-renv@v2 # - uses: r-lib/actions/setup-renv@v2
- uses: r-lib/actions/setup-r-dependencies@v2 - uses: r-lib/actions/setup-r-dependencies@v2
with: with:

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@ -1,6 +1,6 @@
Package: REDCapCAST Package: REDCapCAST
Title: REDCap Castellated Data Handling Title: REDCap Castellated Data Handling
Version: 24.5.1 Version: 24.6.1
Authors@R: c( Authors@R: c(
person("Andreas Gammelgaard", "Damsbo", email = "agdamsbo@clin.au.dk", person("Andreas Gammelgaard", "Damsbo", email = "agdamsbo@clin.au.dk",
role = c("aut", "cre"),comment = c(ORCID = "0000-0002-7559-1154")), role = c("aut", "cre"),comment = c(ORCID = "0000-0002-7559-1154")),

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@ -1,4 +1,4 @@
# REDCapCAST 24.5.1 # REDCapCAST 24.6.1
### Functions ### Functions
@ -13,8 +13,7 @@
### Documentation and more ### Documentation and more
* Dependencies: In order to deploy `shiny_cast()` with `shinylive`, I need to remove `curl` as a dependency. To accomplish this, the `shiny_deploy()` helper functions has been moved to the package [`pacakge.aid`](https://github.com/agdamsbo/package.aid). This was before realising that `REDCapR` has `curl` as dependency, which is the culprit. `REDCapCAST` is not going to be a `shinylive` web-app without removing `REDCapR` dependency, which in the app is used for easy data upload and data dictionary deployment. * Dependencies: In order to deploy `shiny_cast()` with `shinylive`, I need to remove `curl` as a dependency. To accomplish this, the `shiny_deploy()` helper functions has been moved to the package [`pacakge.aid`](https://github.com/agdamsbo/package.aid). This was before realising that `REDCapR` has `curl` as dependency, which is the culprit. `REDCapCAST` is not going to be a `shinylive` web-app without removing `REDCapR` dependency or any other REDCap database interaction, which would defy the purpose. I'll stick to hosted Shiny app instead.
# REDCapCAST 24.2.1 # REDCapCAST 24.2.1

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@ -108,6 +108,9 @@ doc2dd <- function(data,
) )
} }
## Defining the calculations ## Defining the calculations
if (is_missing(col.calculation)) { if (is_missing(col.calculation)) {
out <- out |> out <- out |>
@ -115,12 +118,13 @@ doc2dd <- function(data,
calculations = missing.default calculations = missing.default
) )
} else { } else {
# With inspiration from textclean package, curly apostrophe is replaced
out <- out |> out <- out |>
dplyr::mutate( dplyr::mutate(
calculations = dplyr::pick(col.calculation) |> calculations = dplyr::pick(col.calculation) |>
unlist() |> unlist() |>
tolower() |> tolower() |>
(\(.x) gsub("", "'", .x))() replace_curly_quote()
) )
} }
@ -288,3 +292,22 @@ is_missing <- function(data,nas=c("", "NA")) {
is.na(data) | data %in% nas is.na(data) | data %in% nas
} }
} }
#' Replace curly apostrophes and quotes from word
#'
#' @description
#' Copied from textclean, which has not been updated since 2018 and is not
#' on CRAN. Github:https://github.com/trinker/textclean
#'
#' @param x character vector
#'
#' @return character vector
replace_curly_quote <- function(x){
replaces <- c('\x91', '\x92', '\x93', '\x94')
Encoding(replaces) <- "latin1"
for (i in 1:4) {
x <- gsub(replaces[i], c("'", "'", "\"", "\"")[i], x, fixed = TRUE)
}
x
}

View File

@ -343,10 +343,10 @@ ds2dd_detailed <- function(data,
lapply(function(x) { lapply(function(x) {
if (is.factor(x)) { if (is.factor(x)) {
## Re-factors to avoid confusion with missing levels ## Re-factors to avoid confusion with missing levels
## Assumes alle relevant levels are represented in the data ## Assumes all relevant levels are represented in the data
re_fac <- factor(x) re_fac <- factor(x)
paste( paste(
paste(unique(as.numeric(re_fac)), paste(seq_along(levels(re_fac)),
levels(re_fac), levels(re_fac),
sep = ", " sep = ", "
), ),

View File

@ -2,6 +2,7 @@
[![GitHub R package version](https://img.shields.io/github/r-package/v/agdamsbo/REDCapCAST)](https://github.com/agdamsbo/REDCapCAST) [![GitHub R package version](https://img.shields.io/github/r-package/v/agdamsbo/REDCapCAST)](https://github.com/agdamsbo/REDCapCAST)
[![CRAN/METACRAN](https://img.shields.io/cran/v/REDCapCAST)](https://CRAN.R-project.org/package=REDCapCAST) [![CRAN/METACRAN](https://img.shields.io/cran/v/REDCapCAST)](https://CRAN.R-project.org/package=REDCapCAST)
[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.8013984.svg)](https://doi.org/10.5281/zenodo.8013984) [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.8013984.svg)](https://doi.org/10.5281/zenodo.8013984)
[![R-hub](https://github.com/agdamsbo/REDCapCAST/actions/workflows/rhub.yaml/badge.svg)](https://github.com/agdamsbo/REDCapCAST/actions/workflows/rhub.yaml)
[![R-CMD-check](https://github.com/agdamsbo/REDCapCAST/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/agdamsbo/REDCapCAST/actions/workflows/R-CMD-check.yaml) [![R-CMD-check](https://github.com/agdamsbo/REDCapCAST/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/agdamsbo/REDCapCAST/actions/workflows/R-CMD-check.yaml)
[![Page deployed](https://github.com/agdamsbo/REDCapCAST/actions/workflows/pages/pages-build-deployment/badge.svg)](https://github.com/agdamsbo/REDCapCAST/actions/workflows/pages/pages-build-deployment) [![Page deployed](https://github.com/agdamsbo/REDCapCAST/actions/workflows/pages/pages-build-deployment/badge.svg)](https://github.com/agdamsbo/REDCapCAST/actions/workflows/pages/pages-build-deployment)
[![Codecov test coverage](https://codecov.io/gh/agdamsbo/REDCapCAST/branch/master/graph/badge.svg)](https://app.codecov.io/gh/agdamsbo/REDCapCAST?branch=master) [![Codecov test coverage](https://codecov.io/gh/agdamsbo/REDCapCAST/branch/master/graph/badge.svg)](https://app.codecov.io/gh/agdamsbo/REDCapCAST?branch=master)
@ -34,7 +35,9 @@ Here is just a short description of the main functions:
* `ds2dd_detailed()`: Converts a data set to a data dictionary for upload to a new REDCap database. Variables (fields) and instruments in a REDCap data base are defined by this data dictionary. * `ds2dd_detailed()`: Converts a data set to a data dictionary for upload to a new REDCap database. Variables (fields) and instruments in a REDCap data base are defined by this data dictionary.
* `shiny_cast()`: [Shiny](https://www.rstudio.com/products/shiny/) application to ease the process of converting a spreadsheet/data set to a REDCap database. The app runs locally and data is transferred securely. You can just create and upload the data dictionary, but you can also transfer the given data in the same process. The app is [hosted on shinyapps.io](https://agdamsbo.shinyapps.io/redcapcast/) while I work on a [shinylive](https://posit-dev.github.io/r-shinylive/) implementation. * `doc2dd()`: Converts a document table to data dictionary. This allows to specify instrument or whole data dictionary in text document, which for most is easier to work with and easily modifiable. Very much like a easy version of just working directly in the data dictionary file itself.
* `shiny_cast()`: [Shiny](https://www.rstudio.com/products/shiny/) application to ease the process of converting a spreadsheet/data set to a REDCap database. The app runs locally and data is transferred securely. You can just create and upload the data dictionary, but you can also transfer the given data in the same process. The app is [hosted on shinyapps.io](https://agdamsbo.shinyapps.io/redcapcast/) ~~while I work on a [shinylive](https://posit-dev.github.io/r-shinylive/) implementation~~.
## Future ## Future
@ -51,7 +54,7 @@ install.packages("REDCapCAST")
Install the latest version directly from GitHub: Install the latest version directly from GitHub:
``` ```
remotes::install_github("agdamsbo/REDCapCAST") pak::pak("agdamsbo/REDCapCAST")
``` ```
## Code of Conduct ## Code of Conduct

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@ -1,10 +0,0 @@
name: redcapcast
title:
username: agdamsbo
account: agdamsbo
server: shinyapps.io
hostUrl: https://api.shinyapps.io/v1
appId: 11351429
bundleId:
url: https://agdamsbo.shinyapps.io/redcapcast/
version: 1

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@ -1,10 +0,0 @@
name: shiny_cast
title:
username: cognitiveindex
account: cognitiveindex
server: shinyapps.io
hostUrl: https://api.shinyapps.io/v1
appId: 11351378
bundleId: 8306502
url: https://cognitiveindex.shinyapps.io/shiny_cast/
version: 1

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@ -1,6 +1,6 @@
ui <- shiny::shinyUI( ui <- shiny::shinyUI(
shiny::fluidPage( shiny::fluidPage(
theme = shinythemes::shinytheme("united"), theme = shinythemes::shinytheme("flatly"),
## ----------------------------------------------------------------------------- ## -----------------------------------------------------------------------------
## Application title ## Application title
@ -11,15 +11,20 @@ ui <- shiny::shinyUI(
# windowTitle = "REDCap database creator" # windowTitle = "REDCap database creator"
# ), # ),
shiny::titlePanel(title = shiny::div(shiny::a(shiny::img(src="logo.png"),href="https://agdamsbo.github.io/REDCapCAST"), shiny::titlePanel(
"Easy REDCap database creation"), title = shiny::div(
shiny::a(shiny::img(src = "logo.png"), href = "https://agdamsbo.github.io/REDCapCAST"),
"Easy REDCap database creation"
),
windowTitle = "REDCap database creator" windowTitle = "REDCap database creator"
), ),
shiny::h4("This tool includes to convenient functions:", shiny::h4(
"This tool includes to convenient functions:",
shiny::br(), shiny::br(),
"1) creating a REDCap data dictionary based on a spreadsheet (.csv/.xls(x)/.dta) and", "1) creating a REDCap data dictionary based on a spreadsheet (.csv/.xls(x)/.dta/.ods) and",
shiny::br(), shiny::br(),
"2) creating said database on a given REDCap server and uploading the dataset via API access."), "2) creating said database on a given REDCap server and uploading the dataset via API access."
),
## ----------------------------------------------------------------------------- ## -----------------------------------------------------------------------------
@ -34,7 +39,8 @@ ui <- shiny::shinyUI(
".csv", ".csv",
".xls", ".xls",
".xlsx", ".xlsx",
".dta" ".dta",
".ods"
) )
), ),
shiny::h6("Below you can download the dataset formatted for upload and the shiny::h6("Below you can download the dataset formatted for upload and the
@ -110,7 +116,7 @@ ui <- shiny::shinyUI(
shiny::br(), shiny::br(),
shiny::hr(), shiny::hr(),
shiny::tags$footer(shiny::strong("Disclaimer: "), shiny::tags$footer(shiny::strong("Disclaimer: "),
"This tool is aimed at demonstrating use of REDCapCAST. No responsibility for data loss or any other problems will be taken. Please contact me for support.", "This tool is aimed at demonstrating use of REDCapCAST. The app can be run locally or on a hosted server (will save no data anywhere). No responsibility for data loss or any other problems will be taken. Please contact me for support.",
shiny::br(), shiny::br(),
shiny::a("License: GPL-3+", href = "https://agdamsbo.github.io/REDCapCAST/LICENSE.html"), shiny::a("License: GPL-3+", href = "https://agdamsbo.github.io/REDCapCAST/LICENSE.html"),
"|", "|",
@ -129,6 +135,7 @@ ui <- shiny::shinyUI(
padding: 0px; padding: 0px;
background-color: White; background-color: White;
z-index: 100; z-index: 100;
") "
)
) )
) )

View File

@ -1,20 +1,2 @@
## Test environments ## Test environments
- R-hub windows-x86_64-devel (r-devel) New Rhubv2 implemented and tested with GitHub actions. All passed.
- R-hub ubuntu-gcc-release (r-release)
- R-hub fedora-clang-devel (r-devel)
## R CMD check results
On windows-x86_64-devel (r-devel)
checking for non-standard things in the check directory ... NOTE
Found the following files/directories:
''NULL''
On windows-x86_64-devel (r-devel)
checking for detritus in the temp directory ... NOTE
'lastMiKTeXException'
On ubuntu-gcc-release (r-release), fedora-clang-devel (r-devel)
checking HTML version of manual ... NOTE
Skipping checking HTML validation: no command 'tidy' found
0 errors ✔ | 0 warnings ✔ | 3 notes ✖

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@ -4,6 +4,7 @@ Codecov
DOI DOI
DataDictionary DataDictionary
GStat GStat
Github
GithubActions GithubActions
JSON JSON
Lifecycle Lifecycle
@ -14,7 +15,6 @@ README
REDCap REDCap
REDCapR REDCapR
REDCapRITS REDCapRITS
THe
UI UI
WD WD
al al
@ -34,8 +34,10 @@ dplyr
ds ds
dta dta
et et
github
gues gues
hms hms
https
immprovements immprovements
io io
jbi jbi
@ -55,6 +57,7 @@ perl
pos pos
pre pre
readr readr
realising
sel sel
sep sep
seperator seperator
@ -64,9 +67,11 @@ stRoke
stata stata
strsplit strsplit
subheader subheader
textclean
thorugh thorugh
tibble tibble
tidyverse tidyverse
trinker
ui ui
uri uri
wil wil

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@ -0,0 +1,18 @@
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/doc2dd.R
\name{replace_curly_quote}
\alias{replace_curly_quote}
\title{Replace curly apostrophes and quotes from word}
\usage{
replace_curly_quote(x)
}
\arguments{
\item{x}{character vector}
}
\value{
character vector
}
\description{
Copied from textclean, which has not been updated since 2018 and is not
on CRAN. Github:https://github.com/trinker/textclean
}

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@ -1,6 +1,6 @@
{ {
"R": { "R": {
"Version": "4.3.3", "Version": "4.4.0",
"Repositories": [ "Repositories": [
{ {
"Name": "CRAN", "Name": "CRAN",
@ -138,14 +138,14 @@
}, },
"cachem": { "cachem": {
"Package": "cachem", "Package": "cachem",
"Version": "1.0.8", "Version": "1.1.0",
"Source": "Repository", "Source": "Repository",
"Repository": "CRAN", "Repository": "CRAN",
"Requirements": [ "Requirements": [
"fastmap", "fastmap",
"rlang" "rlang"
], ],
"Hash": "c35768291560ce302c0a6589f92e837d" "Hash": "cd9a672193789068eb5a2aad65a0dedf"
}, },
"cellranger": { "cellranger": {
"Package": "cellranger", "Package": "cellranger",
@ -199,16 +199,6 @@
"Repository": "CRAN", "Repository": "CRAN",
"Hash": "5d8225445acb167abf7797de48b2ee3c" "Hash": "5d8225445acb167abf7797de48b2ee3c"
}, },
"cpp11": {
"Package": "cpp11",
"Version": "0.4.7",
"Source": "Repository",
"Repository": "CRAN",
"Requirements": [
"R"
],
"Hash": "5a295d7d963cc5035284dcdbaf334f4e"
},
"crayon": { "crayon": {
"Package": "crayon", "Package": "crayon",
"Version": "1.5.2", "Version": "1.5.2",
@ -279,10 +269,10 @@
}, },
"fastmap": { "fastmap": {
"Package": "fastmap", "Package": "fastmap",
"Version": "1.1.1", "Version": "1.2.0",
"Source": "Repository", "Source": "Repository",
"Repository": "CRAN", "Repository": "CRAN",
"Hash": "f7736a18de97dea803bde0a2daaafb27" "Hash": "aa5e1cd11c2d15497494c5292d7ffcc8"
}, },
"filelock": { "filelock": {
"Package": "filelock", "Package": "filelock",
@ -533,13 +523,13 @@
}, },
"openssl": { "openssl": {
"Package": "openssl", "Package": "openssl",
"Version": "2.1.2", "Version": "2.2.0",
"Source": "Repository", "Source": "Repository",
"Repository": "CRAN", "Repository": "CRAN",
"Requirements": [ "Requirements": [
"askpass" "askpass"
], ],
"Hash": "ea2475b073243d9d338aa8f086ce973e" "Hash": "2bcca3848e4734eb3b16103bc9aa4b8e"
}, },
"openxlsx2": { "openxlsx2": {
"Package": "openxlsx2", "Package": "openxlsx2",
@ -585,30 +575,6 @@
], ],
"Hash": "01f28d4278f15c76cddbea05899c5d6f" "Hash": "01f28d4278f15c76cddbea05899c5d6f"
}, },
"prettyunits": {
"Package": "prettyunits",
"Version": "1.2.0",
"Source": "Repository",
"Repository": "CRAN",
"Requirements": [
"R"
],
"Hash": "6b01fc98b1e86c4f705ce9dcfd2f57c7"
},
"progress": {
"Package": "progress",
"Version": "1.2.3",
"Source": "Repository",
"Repository": "CRAN",
"Requirements": [
"R",
"R6",
"crayon",
"hms",
"prettyunits"
],
"Hash": "f4625e061cb2865f111b47ff163a5ca6"
},
"promises": { "promises": {
"Package": "promises", "Package": "promises",
"Version": "1.3.0", "Version": "1.3.0",
@ -785,7 +751,7 @@
}, },
"stringi": { "stringi": {
"Package": "stringi", "Package": "stringi",
"Version": "1.8.3", "Version": "1.8.4",
"Source": "Repository", "Source": "Repository",
"Repository": "CRAN", "Repository": "CRAN",
"Requirements": [ "Requirements": [
@ -794,7 +760,7 @@
"tools", "tools",
"utils" "utils"
], ],
"Hash": "058aebddea264f4c99401515182e656a" "Hash": "39e1144fd75428983dc3f63aa53dfa91"
}, },
"stringr": { "stringr": {
"Package": "stringr", "Package": "stringr",

25
tests/spelling.Rout.save Normal file
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@ -0,0 +1,25 @@
R version 3.4.1 (2017-06-30) -- "Single Candle"
Copyright (C) 2017 The R Foundation for Statistical Computing
Platform: x86_64-apple-darwin15.6.0 (64-bit)
R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.
R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.
Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.
> if(requireNamespace('spelling', quietly = TRUE))
+ spelling::spell_check_test(vignettes = TRUE, error = FALSE,
+ skip_on_cran = TRUE)
All Done!
>
> proc.time()
user system elapsed
0.372 0.039 0.408

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@ -1,4 +1,5 @@
library(testthat) library(testthat)
library(REDCapCAST) library(REDCapCAST)
# testthat::test_dir(here::here("tests/testthat"))
test_check("REDCapCAST") test_check("REDCapCAST")

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@ -8,5 +8,7 @@
# setwd("tests/testthat") # setwd("tests/testthat")
get_data_location <- function(x) get_data_location <- function(x){
# here::here(file.path("tests","testthat","data", x))
file.path("data", x) file.path("data", x)
}

View File

@ -18,33 +18,59 @@ knitr::opts_chunk$set(
library(REDCapCAST) library(REDCapCAST)
``` ```
# Easy data set to data base workflow # Two different ways to create a data base
THe first iteration of a dataset to data dictionary function is the `ds2dd()`, which creates a very basic data dictionary with all variables stored as text. This is sufficient for just storing old datasets/spreadsheets securely in REDCap. `REDCapCAST` provides two approaches to creating a data dictionary aimed at helping out in two different cases:
```{r eval=FALSE} 1. Easily create a REDCap data base from an existing data set.
mtcars |>
2. Create a table in Word describing a variables in a data base and use this to create a data base.
In the following I will try to come with a few suggestions on how to use these approaches.
## Easy data set to data base workflow
The first iteration of a dataset to data dictionary function is the `ds2dd()`, which creates a very basic data dictionary with all variables stored as text. This is sufficient for just storing old datasets/spreadsheets securely in REDCap.
```{r eval=TRUE}
d1 <- mtcars |>
dplyr::mutate(record_id = seq_len(dplyr::n())) |> dplyr::mutate(record_id = seq_len(dplyr::n())) |>
ds2dd() |> ds2dd()
str()
d1 |>
gt::gt()
``` ```
The more advanced `ds2dd_detailed()` is a natural development. It will try to apply the most common data classes for data validation and will assume that the first column is the id number. It outputs a list with the dataset with modified variable names to comply with REDCap naming conventions and a data dictionary. The more advanced `ds2dd_detailed()` is a natural development. It will try to apply the most common data classes for data validation and will assume that the first column is the id number. It outputs a list with the dataset with modified variable names to comply with REDCap naming conventions and a data dictionary.
The dataset should be correctly formatted for the data dictionary to preserve as much information as possible. The dataset should be correctly formatted for the data dictionary to preserve as much information as possible.
```{r eval=FALSE} ```{r eval=TRUE}
dd_ls <- mtcars |> d2 <- REDCapCAST::redcapcast_data |>
dplyr::mutate(record_id = seq_len(dplyr::n())) |> dplyr::mutate(record_id = seq_len(dplyr::n()),
region=factor(region)) |>
dplyr::select(record_id, dplyr::everything()) |> dplyr::select(record_id, dplyr::everything()) |>
ds2dd_detailed() (\(.x){
dd_ls |> .x[!grepl("_complete$",names(.x))]
str() })() |>
(\(.x){
.x[!grepl("^redcap",names(.x))]
})() |>
ds2dd_detailed() |>
purrr::pluck("meta")
d2 |>
gt::gt()
``` ```
Additional specifications to the DataDictionary can be made manually, or it can be uploaded and modified manually in the graphical user interface on the web page. Additional specifications to the DataDictionary can be made manually, or it can be uploaded and modified manually in the graphical user interface on the REDCap server.
## Step 3 - Meta data upload ## Data base from table
...instructions and examples are coming...
## Meta data and data upload
Now the DataDictionary can be exported as a spreadsheet and uploaded or it can be uploaded using the `REDCapR` package (only projects with "Development" status). Now the DataDictionary can be exported as a spreadsheet and uploaded or it can be uploaded using the `REDCapR` package (only projects with "Development" status).

View File

@ -14,10 +14,6 @@ knitr::opts_chunk$set(
) )
``` ```
```{r setup}
library(REDCapCAST)
```
To make the easiest possible transition from spreadsheet/dataset to REDCap, I have created a small Shiny app, which adds a graphical interface to the casting of a data dictionary and data upload. Install the package and run the app as follows: To make the easiest possible transition from spreadsheet/dataset to REDCap, I have created a small Shiny app, which adds a graphical interface to the casting of a data dictionary and data upload. Install the package and run the app as follows:
```{r eval=FALSE} ```{r eval=FALSE}