mirror of
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43 lines
1.4 KiB
R
43 lines
1.4 KiB
R
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#' @title Redcap Wider
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#' @description Converts a list of REDCap data frames from long to wide format.
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#' Handles longitudinal projects, but not yet repeated instruments.
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#' @param list A list of data frames.
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#' @param names.glud A string to glue the column names together.
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#' @return The list of data frames in wide format.
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#' @export
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#' @importFrom tidyr pivot_wider
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#'
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#' @examples
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#' list <- list(data.frame(record_id = c(1,2,1,2),
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#' redcap_event_name = c("baseline", "baseline", "followup", "followup"),
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#' age = c(25,26,27,28)),
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#' data.frame(record_id = c(1,2),
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#' redcap_event_name = c("baseline", "baseline"),
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#' gender = c("male", "female")))
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#' redcap_wider(list)
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redcap_wider <- function(list,names.glud="{.value}_{redcap_event_name}_long") {
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l <- lapply(list,function(i){
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incl <- any(duplicated(i[["record_id"]]))
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cname <- colnames(i)
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vals <- cname[!cname%in%c("record_id","redcap_event_name")]
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i$redcap_event_name <- tolower(gsub(" ","_",i$redcap_event_name))
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if (incl){
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s <- tidyr::pivot_wider(i,
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names_from = redcap_event_name,
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values_from = all_of(vals),
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names_glue = names.glud)
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s[colnames(s)!="redcap_event_name"]
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} else (i[colnames(i)!="redcap_event_name"])
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})
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## Additional conditioning is needed to handle repeated instruments.
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data.frame(Reduce(f = dplyr::full_join, x = l))
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}
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