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included shiny app with package, bslib, documentation, fixing NA bug

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Andreas Gammelgaard Damsbo 2024-11-15 20:42:25 +01:00
commit 3cfdb66a32
21 changed files with 767 additions and 270 deletions
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4
man/REDCapCAST-package.Rd
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@ -4,11 +4,11 @@
\name{REDCapCAST-package}
\alias{REDCapCAST}
\alias{REDCapCAST-package}
\title{REDCapCAST: REDCap Castellated Data Handling}
\title{REDCapCAST: REDCap Castellated Data Handling And Metadata Casting}
\description{
\if{html}{\figure{logo.png}{options: style='float: right' alt='logo' width='120'}}
Originally forked from the R part of 'REDCapRITS' by Paul Egeler. See \url{https://github.com/pegeler/REDCapRITS}. 'REDCap' database casting and handling of castellated data when using repeated instruments and longitudinal projects. 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}).
Originally forked from the R part of 'REDCapRITS' by Paul Egeler. See \url{https://github.com/pegeler/REDCapRITS}. 'REDCap' database casting and handling of castellated data when using repeated instruments and longitudinal projects. Keeps a focused data export approach, by allowing to only export required data from the database. Also for casting new REDCap databases based on datasets from other sources. '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}).
}
\seealso{
Useful links:

14
man/server_factory.Rd
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@ -1,14 +0,0 @@
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/shiny_cast.R
\name{server_factory}
\alias{server_factory}
\title{Shiny server factory}
\usage{
server_factory()
}
\value{
shiny server
}
\description{
Shiny server factory
}

7
man/shiny_cast.Rd
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@ -4,13 +4,16 @@
\alias{shiny_cast}
\title{Launch the included Shiny-app for database casting and upload}
\usage{
shiny_cast()
shiny_cast(...)
}
\arguments{
\item{...}{Arguments passed to shiny::runApp()}
}
\value{
shiny app
}
\description{
Launch the included Shiny-app for database casting and upload
Wraps shiny::runApp()
}
\examples{
# shiny_cast()

14
man/ui_factory.Rd
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@ -1,14 +0,0 @@
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/shiny_cast.R
\name{ui_factory}
\alias{ui_factory}
\title{UI factory for shiny app}
\usage{
ui_factory()
}
\value{
shiny ui
}
\description{
UI factory for shiny app
}