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more examples and better handling of different projects

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Andreas Gammelgaard Damsbo 2024-02-06 14:01:03 +01:00
commit 289f57ab76
2 changed files with 84 additions and 25 deletions
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33
man/redcap_wider.Rd
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@ -5,13 +5,13 @@
\title{Redcap Wider}
\usage{
redcap_wider(
list,
data,
event.glue = "{.value}_{redcap_event_name}",
inst.glue = "{.value}_{redcap_repeat_instance}"
)
}
\arguments{
\item{list}{A list of data frames.}
\item{data}{A list of data frames.}
\item{event.glue}{A dplyr::glue string for repeated events naming}
@ -25,11 +25,36 @@ Converts a list of REDCap data frames from long to wide format.
Handles longitudinal projects, but not yet repeated instruments.
}
\examples{
list <- list(data.frame(record_id = c(1,2,1,2),
# Longitudinal
list1 <- list(data.frame(record_id = c(1,2,1,2),
redcap_event_name = c("baseline", "baseline", "followup", "followup"),
age = c(25,26,27,28)),
data.frame(record_id = c(1,2),
redcap_event_name = c("baseline", "baseline"),
gender = c("male", "female")))
redcap_wider(list)
redcap_wider(list1)
# Simpel with two instruments
list2 <- list(data.frame(record_id = c(1,2),
age = c(25,26)),
data.frame(record_id = c(1,2),
gender = c("male", "female")))
redcap_wider(list2)
# Simple with single instrument
list3 <- list(data.frame(record_id = c(1,2),
age = c(25,26)))
redcap_wider(list3)
# Longitudinal with repeatable instruments
list4 <- list(data.frame(record_id = c(1,2,1,2),
redcap_event_name = c("baseline", "baseline", "followup", "followup"),
age = c(25,26,27,28)),
data.frame(record_id = c(1,1,1,1,2,2,2,2),
redcap_event_name = c("baseline", "baseline", "followup", "followup",
"baseline", "baseline", "followup", "followup"),
redcap_repeat_instrument = "walk",
redcap_repeat_instance=c(1,2,1,2,1,2,1,2),
dist = c(40, 32, 25, 33, 28, 24, 23, 36)),
data.frame(record_id = c(1,2),
redcap_event_name = c("baseline", "baseline"),
gender = c("male", "female")))
redcap_wider(list4)
}