Nothing
corReflect <-
function (R=mycor, vars,
main=NULL, heat_map=TRUE, bottom=NULL,right=NULL,
pdf_file=NULL, width=5, height=5, ...) {
# a dot in a parameter name to an underscore
dots <- list(...)
if (!is.null(dots)) if (length(dots) > 0) {
for (i in 1:length(dots)) {
if (length(grep(".", names(dots)[i], fixed=TRUE)) > 0) {
nm <- gsub(".", "_", names(dots)[i], fixed=TRUE)
assign(nm, dots[[i]])
get(nm)
}
}
}
if (!("matrix" %in% class(R))) { # R is a matrix, can be called indirectly
# cor matrix: mycor as class out_all, mycor$R, or stand-alone matrix
cor.nm <- deparse(substitute(R))
.cor.exists(cor.nm) # see if matrix exists in one of the 3 locations
if ("out_all" %in% class(R)) # R 4.0 results in two values: matrix, array
R <- eval(parse(text=paste(cor.nm, "$R", sep=""))) # go to $R
}
# translate variable names into column positions
vars.all <- as.list(seq_along(as.data.frame(R)))
names(vars.all) <- names(as.data.frame(R))
vars.num <- eval(substitute(vars), vars.all, parent.frame())
NVOld <- as.integer(nrow(R))
NVC <- as.integer(length(vars.num))
Label <- as.integer(as.vector(vars.num))
for (LL in 1:NVC) {
for (J in 1:NVOld) {
if (Label[LL] != J) {
R[J,Label[LL]] <- -R[J,Label[LL]]
R[Label[LL],J] <- R[J,Label[LL]]
}
}
}
if (heat_map) {
if (is.null(main)) main <- "With Reflected Item Coefficients"
.opendev(pdf_file, width, height) # set up graphics
.corcolors(R, NVOld, main, bottom, right, diag=0,
pdf_file, width, height)
}
cat("\n")
return(invisible(R))
}
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