andreas/REDCapCAST
1
0
Fork 0
mirror of https://github.com/agdamsbo/REDCapCAST.git synced 2026-06-21 05:59:07 +02:00
Code Issues Projects Releases Packages Wiki Activity

added option to export "both" raw and label by labelling raw data to preserve as much information as possible

Browse source
This commit is contained in:
Andreas Gammelgaard Damsbo 2024-11-27 09:51:51 +01:00
commit 2ba46e8e7a
No known key found for this signature in database
11 changed files with 177 additions and 230 deletions
Download patch file Download diff file Expand all files Collapse all files

13
man/as_factor.Rd
View file

@ -8,6 +8,8 @@
\alias{as_factor.character}
\alias{as_factor.haven_labelled}
\alias{as_factor.labelled}
\alias{as_factor.redcapcast_labelled}
\alias{as_factor.data.frame}
\title{Convert labelled vectors to factors while preserving attributes}
\usage{
as_factor(x, ...)
@ -33,6 +35,15 @@ as_factor(x, ...)
ordered = FALSE,
...
)
\method{as_factor}{redcapcast_labelled}(
x,
levels = c("default", "labels", "values", "both"),
ordered = FALSE,
...
)
\method{as_factor}{data.frame}(x, ..., only_labelled = TRUE)
}
\arguments{
\item{x}{Object to coerce to a factor.}
@ -49,6 +60,8 @@ as_factor(x, ...)
\item{ordered}{If `TRUE` create an ordered (ordinal) factor, if
`FALSE` (the default) create a regular (nominal) factor.}
\item{only_labelled}{Only apply to labelled columns?}
}
\description{
This extends [forcats::as_factor()] as well as [haven::as_factor()], by appending