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#' Export PSID files to another statistical language
#' @description Exports all .rds files in the chosen directory into a common file format used by one of three other statistical programming languages (SPSS, SAS, and STATA). Unlike most alternatives, this function retains all variable labels provided by the PSID.
#' @param language Language to export PSID .rds files into (options include SPSS, SAS, and STATA)
#' @param in_direc Directory of PSID .rds files to export. Note that large files can take a long time to export.
#' @param out_direc Directory for exported files to be placed
#' @keywords PSID
#' @export
#' @importFrom foreign write.dta write.foreign
#' @examples
#' convert_from_rds(
#' language="STATA",
#' in_direc=system.file("extdata","rds_dir", package = "easyPSID"),
#' out_direc=tempdir()
#' )
convert_from_rds<-function(language, in_direc, out_direc){
#1) Prepare directories and file names
# in_direc<-ifelse(is.null(in_direc),getwd(),in_direc)
# out_direc<-ifelse(is.null(out_direc),in_direc,out_direc)
dir.create(out_direc,showWarnings = F)
filenames<-list.files(path=in_direc,pattern= c(".*\\.rds$" )) #only files ending with ".rds"
#2) Export data
for(i in 1:length(filenames)){
tempdataframename<-readRDS(paste(in_direc,"/",filenames[i],sep=""))
if(language=="SPSS"){
write.foreign(tempdataframename, paste(out_direc,"/",filenames[i],".txt",sep=""), paste(out_direc,"/",tempdataframename,".sps",sep=""), package="SPSS")
}
if(language=="SAS"){
write.foreign(tempdataframename, paste(out_direc,"/",filenames[i],".csv",sep=""), paste(out_direc,"/",tempdataframename,".sas",sep=""), dataname=gsub(" ","",tempdataframename), package="SAS")
}
if(language=="STATA"){
write.dta(tempdataframename, paste(out_direc,"/",filenames[i],".dta",sep=""))
}
message(paste(filenames[i],"Exported"))
}
}
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