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#' Flips variables
#'
#' R Implementation of the SPSS \code{FLIP} Function.
#'
#' @param x a (non-empty) data.frame or input data of class "xpssFrame".
#' @param variables atomic character or character vector with the names of the variables to flip
#' @param names atomic character with the name of the variable for coloumn names.
#' @return A flipped, respectively transposed xpssFrame object.
#' @author Bastian Wiessner
#' @seealso \code{\link{t}}
#' @export
#' @examples
#' data(fromXPSS)
#' xpssFlip(x=fromXPSS,variables=c("V4","V5","V6"),names="V1")
xpssFlip <- function(x, variables = "all", names = NULL){
#variables <- c("V3","V4","V5","V6")
#names <- "V6"
functiontype <- "DM"
x <- applyMetaCheck(x)
options(warn = -1)
if(variables == "all") {
ta <- t(x)
for(i in 1:length(x[[1]])){
colnames(ta)[i] <- paste("var",i,sep="")
}
} else {
for(i in 1:length(variables)) {
if(!(is.element(variables[[i]],names(x)))) {
stop("The selected variables has to be in the dataset")
}
}
ta <- t(x[variables])
}
ta <- as.xpssFrame(ta)
#---------------------
if(is.null(names)) {
for(i in 1:length(x[[1]])){
names(ta)[i] <- paste("var",i,sep="")
}
} else {
evalVAR <- eval(parse(text=paste("x$",names,sep="")))
for(i in 1:length(x[[1]])) {
if(is.numeric(evalVAR)) {
names(ta)[i] <- paste("K_", evalVAR[i],sep="")
} else {
names(ta)[i] <- paste(evalVAR[i],sep="")
}
}
hauef <- table(names(ta))
for(i in 1:length(hauef)){
id <- which(names(ta) %in% names(hauef[i]))
for(j in 1:length(id)) {
names(ta)[id][j] <- paste(names(ta)[id][j],"_",j,sep="")
}
}
if(is.element(names,variables)){
id <- which(!(is.element(variables,names)))
ta <- ta[id,]
}
}
options(warn = 0)
return(ta)
}
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