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11 changed files with 167 additions and 141 deletions

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@ -12,4 +12,3 @@
^LICENSE\.md$
^logo\.R$
^cran-comments\.md$
^CRAN-SUBMISSION$

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@ -1,3 +0,0 @@
Version: 23.6.1
Date: 2023-06-02 12:31:16 UTC
SHA: 32bab4ea0ba141061f613a880aa8239c559fba43

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@ -5,20 +5,19 @@ Authors@R: c(
person("Andreas Gammelgaard", "Damsbo", email = "agdamsbo@clin.au.dk", role = c("aut", "cre"),
comment = c(ORCID = "0000-0002-7559-1154")),
person("Paul", "Egeler", email = "paul.egeler@spectrumhealth.org", role = "aut"))
Description: Forked from 'REDCapRITS' by Paul Egeler and Spectrum Health.
Description: Forked from REDCapRITS by Paul Egeler and Spectrum Health.
See <https://github.com/SpectrumHealthResearch/REDCapRITS>.
Handles castellated datasets from 'REDCap' projects with repeating instruments.
Assists in casting tidy tables from raw 'REDCap' data exports for each
repeated instrument. Keeps a focused data export approach, by allowing to
only export required data from the database.
'REDCap' (Research Electronic Data Capture) is a secure, web-based software
Handles castellated datasets from REDCap projects with repeating instruments.
Assists in splitting raw REDCap data exports to base table and child tables
for each repeated instrument. Keeps a focused data export approach, by
allowing to only export required data from the database.
REDCap (Research Electronic Data Capture) is a secure, web-based software
platform designed to support data capture for research studies, providing
1) an intuitive interface for validated data capture; 2) audit trails for
tracking data manipulation and export procedures; 3) automated export
procedures for seamless data downloads to common statistical packages; and
4) procedures for data integration and interoperability with 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>).
(<doi:10.1016/j.jbi.2008.08.010>; <doi:10.1016/j.jbi.2019.103208>).
Depends: R (>= 3.4.0)
Suggests:
spelling,

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@ -58,19 +58,17 @@
#'
#' # 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
#' # Get the metadata
#' metadata <- read.csv("ExampleProject_DataDictionary_2018-06-03.csv")
#'
#' # Split the tables
#' REDCapRITS::REDCap_split(data, metadata)
#' setwd(old)
#' }
#' @return A list of \code{"data.frame"}s. The number of tables will differ
#' depending on the \code{forms} option selected.

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@ -98,23 +98,23 @@ demonstration of the functions.</p>
</h2>
<div class="sourceCode" id="cb2"><pre class="downlit sourceCode r">
<code class="sourceCode R"><span><span class="va">redcapcast_data</span> <span class="op">|&gt;</span> <span class="fu">gt</span><span class="fu">::</span><span class="fu"><a href="https://gt.rstudio.com/reference/gt.html" class="external-link">gt</a></span><span class="op">(</span><span class="op">)</span></span></code></pre></div>
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@ -140,12 +140,12 @@ demonstration of the functions.</p>
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@ -157,7 +157,7 @@ demonstration of the functions.</p>
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@ -169,7 +169,7 @@ demonstration of the functions.</p>
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@ -181,13 +181,13 @@ demonstration of the functions.</p>
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@ -234,15 +234,15 @@ demonstration of the functions.</p>
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@ -254,11 +254,11 @@ demonstration of the functions.</p>
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@ -284,7 +284,7 @@ demonstration of the functions.</p>
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@ -326,7 +326,7 @@ demonstration of the functions.</p>
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@ -390,7 +390,7 @@ demonstration of the functions.</p>
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@ -1001,23 +1001,23 @@ demonstration of the functions.</p>
</div>
<div class="sourceCode" id="cb3"><pre class="downlit sourceCode r">
<code class="sourceCode R"><span><span class="va">redcapcast_meta</span> <span class="op">|&gt;</span> <span class="fu">gt</span><span class="fu">::</span><span class="fu"><a href="https://gt.rstudio.com/reference/gt.html" class="external-link">gt</a></span><span class="op">(</span><span class="op">)</span></span></code></pre></div>
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#gzbgzhlwxt .gt_sourcenotes {
#howggqvkiz .gt_sourcenotes {
color: #333333;
background-color: #FFFFFF;
border-bottom-style: none;
@ -1373,7 +1373,7 @@ demonstration of the functions.</p>
border-right-color: #D3D3D3;
}
#gzbgzhlwxt .gt_sourcenote {
#howggqvkiz .gt_sourcenote {
font-size: 90%;
padding-top: 4px;
padding-bottom: 4px;
@ -1381,63 +1381,63 @@ demonstration of the functions.</p>
padding-right: 5px;
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@ -8,17 +8,16 @@
<meta name="description" content="Forked from REDCapRITS by Paul Egeler and Spectrum Health.
See &lt;https://github.com/SpectrumHealthResearch/REDCapRITS&gt;.
Handles castellated datasets from REDCap projects with repeating instruments.
Assists in casting tidy tables from raw REDCap data exports for each
repeated instrument. Keeps a focused data export approach, by allowing to
only export required data from the database.
Assists in splitting raw REDCap data exports to base table and child tables
for each repeated instrument. Keeps a focused data export approach, by
allowing to only export required data from the database.
REDCap (Research Electronic Data Capture) is a secure, web-based software
platform designed to support data capture for research studies, providing
1) an intuitive interface for validated data capture; 2) audit trails for
tracking data manipulation and export procedures; 3) automated export
procedures for seamless data downloads to common statistical packages; and
4) procedures for data integration and interoperability with external sources
(Harris et al (2009) &lt;doi:10.1016/j.jbi.2008.08.010&gt;;
Harris et al (2019) &lt;doi:10.1016/j.jbi.2019.103208&gt;).">
(&lt;doi:10.1016/j.jbi.2008.08.010&gt;; &lt;doi:10.1016/j.jbi.2019.103208&gt;).">
<title>REDCap Castellated Data Handling • REDCapCAST</title>
<!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="favicon-16x16.png">
<link rel="icon" type="image/png" sizes="32x32" href="favicon-32x32.png">
@ -34,17 +33,16 @@
<meta property="og:description" content="Forked from REDCapRITS by Paul Egeler and Spectrum Health.
See &lt;https://github.com/SpectrumHealthResearch/REDCapRITS&gt;.
Handles castellated datasets from REDCap projects with repeating instruments.
Assists in casting tidy tables from raw REDCap data exports for each
repeated instrument. Keeps a focused data export approach, by allowing to
only export required data from the database.
Assists in splitting raw REDCap data exports to base table and child tables
for each repeated instrument. Keeps a focused data export approach, by
allowing to only export required data from the database.
REDCap (Research Electronic Data Capture) is a secure, web-based software
platform designed to support data capture for research studies, providing
1) an intuitive interface for validated data capture; 2) audit trails for
tracking data manipulation and export procedures; 3) automated export
procedures for seamless data downloads to common statistical packages; and
4) procedures for data integration and interoperability with external sources
(Harris et al (2009) &lt;doi:10.1016/j.jbi.2008.08.010&gt;;
Harris et al (2019) &lt;doi:10.1016/j.jbi.2019.103208&gt;).">
(&lt;doi:10.1016/j.jbi.2008.08.010&gt;; &lt;doi:10.1016/j.jbi.2019.103208&gt;).">
<meta property="og:image" content="/logo.png">
<!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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@ -3,5 +3,5 @@ pkgdown: 2.0.7
pkgdown_sha: ~
articles:
Introduction: Introduction.html
last_built: 2023-06-05T06:39Z
last_built: 2023-06-02T12:29Z

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@ -156,19 +156,17 @@ instruments only or for all forms.</p></dd>
<span class="r-in"><span></span></span>
<span class="r-in"><span><span class="co"># You must set the working directory first since the REDCap data export</span></span></span>
<span class="r-in"><span><span class="co"># script contains relative file references.</span></span></span>
<span class="r-in"><span><span class="va">old</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/getwd.html" class="external-link">getwd</a></span><span class="op">(</span><span class="op">)</span></span></span>
<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/getwd.html" class="external-link">setwd</a></span><span class="op">(</span><span class="st">"/path/to/data/"</span><span class="op">)</span></span></span>
<span class="r-in"><span></span></span>
<span class="r-in"><span><span class="co"># Run the data export script supplied by REDCap.</span></span></span>
<span class="r-in"><span><span class="co"># This will create a data.frame of your records called 'data'</span></span></span>
<span class="r-in"><span><span class="kw"><a href="https://rdrr.io/r/base/source.html" class="external-link">source</a></span><span class="op">(</span><span class="st">"ExampleProject_R_2018-06-03_1700.r"</span><span class="op">)</span></span></span>
<span class="r-in"><span></span></span>
<span class="r-in"><span><span class="co"># Get the metadatan</span></span></span>
<span class="r-in"><span><span class="co"># Get the metadata</span></span></span>
<span class="r-in"><span><span class="va">metadata</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/utils/read.table.html" class="external-link">read.csv</a></span><span class="op">(</span><span class="st">"ExampleProject_DataDictionary_2018-06-03.csv"</span><span class="op">)</span></span></span>
<span class="r-in"><span></span></span>
<span class="r-in"><span><span class="co"># Split the tables</span></span></span>
<span class="r-in"><span><span class="fu">REDCapRITS</span><span class="fu">::</span><span class="fu">REDCap_split</span><span class="op">(</span><span class="va">data</span>, <span class="va">metadata</span><span class="op">)</span></span></span>
<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/getwd.html" class="external-link">setwd</a></span><span class="op">(</span><span class="va">old</span><span class="op">)</span></span></span>
<span class="r-in"><span><span class="op">}</span></span></span>
</code></pre></div>
</div>

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@ -12,14 +12,12 @@ REDCap
REDCapR
REDCapRITS
SpectrumHealthResearch
al
api
demonstrational
descirption
desireable
doi
dplyr
et
immprovements
jbi
mRS
@ -30,3 +28,44 @@ og
thorugh
tidyverse
uri
agdamsbo
Andreas
au
aut
BugReports
clin
covr
cre
Damsbo
dk
doi
dplyr
egeler
Egeler
Gammelgaard
github
Hmisc
https
httr
jbi
jsonlite
keyring
knitr
LazyData
ORCID
paul
RCurl
readr
REDCap,49
redcapcast
REDCapCAST
REDCapR
REDCapRITS
rmarkdown
RoxygenNote
spectrumhealth
SpectrumHealthResearch
testthat
tidyr
tidyselect
VignetteBuilder

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@ -84,19 +84,17 @@ REDCapRITS::REDCap_split(records, metadata)
# 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
# Get the metadata
metadata <- read.csv("ExampleProject_DataDictionary_2018-06-03.csv")
# Split the tables
REDCapRITS::REDCap_split(data, metadata)
setwd(old)
}
}
\author{