#' @title Load CLSA Comprehensive and Tracking Datasets
#'
#' @description
#' Load the most recent comprehensive and tracking data sets. Note that
#' the .csv files must already be saved on your computer before using this
#' function. Make sure that the csv files containing the data are named
#' as follows:
#' \itemize{
#' \item comprehensive: cop3_2.csv
#' \item tracking: tra3_3.csv
#' }
#'
#' @param path The path to the folder containging the comprehensive and
#' tracking .csv files
#'
#' @return A list of the comprehensive and tracking CLSA datasets in the following order:
#' \enumerate{
#' \item comprehensive
#' \item tracking
#' }
#'
#' @import utils
#'
#' @author Phil Boileau, \email{philippe.boileau (at) rimuhc.ca}
#'
#' @export
#'
#' @examples
#' \dontrun{
#' dataList <- loadCLSAData(path = "C:/Users/Documents")
#'
#' # tracking data set
#' cop3.2 <- dataList[[1]]
#' tra3.3 <- dataList[[2]]
#' }
loadCLSAData <- function(path){
# load the data sets
tra3.3 <- read.csv(paste(path, "/tra3_3.csv", sep = ""), na.string = "")
cop3.2 <- read.csv(paste(path, "/cop3_2.csv", sep = ""), na.string = "")
# order the data by entitiy ID
tra3.3 <- tra3.3[order(tra3.3$entity_id),]
cop3.2 <- cop3.2[order(cop3.2$entity_id),]
# return the list of data
dataList <- list(cop3.2, tra3.3)
return(dataList)
}
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