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ptII_quan_EDA_case_Spain_leadership-in-education_helpfuncs.r
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### (C) 2005-2023 by Leo Guertler
### R-code supplement
### to the book
###
### "Subjektive Ansichten und objektive Betrachtungen"
###
### written by Gürtler & Huber (2023)
###
### All R-code is published under the GPL v3 license:
###
### https://www.gnu.org/licenses/gpl-3.0.en.html
###
### except for 'borrowed' code - see links and references.
### For this R-code the original license of the respective
### authors is valid.
###
### R-code published on
###
### https://osdn.net/projects/mixedmethod-rcode
### https://github.com/abcnorio/mixedmethod-rcode
# file:
# ptII_quan_EDA_case_Spain_leadership-in-education.r
# location:
# chap. 5 [5.5.5]
# 5.5.5 Führungsverhalten in Bildungskontexten
# HELPER FUNCTIONS
###### function from package heatmap.plus not available in R 4
# taken from https://github.com/cran/heatmap.plus
heatmap.plus <- function (x, Rowv = NULL, Colv = if (symm) "Rowv" else NULL,
distfun = dist, hclustfun = hclust, reorderfun = function(d, w) reorder(d, w),
add.expr, symm = FALSE, revC = identical(Colv, "Rowv"), scale = c("row", "column", "none"), na.rm = TRUE,
margins = c(5, 5), ColSideColors, RowSideColors, cexRow = 0.2 +
1/log10(nr), cexCol = 0.2 + 1/log10(nc), labRow = NULL,
labCol = NULL, main = NULL, xlab = NULL, ylab = NULL, keep.dendro = FALSE,
verbose = getOption("verbose"), ...)
{
scale <- if (symm && missing(scale))
"none"
else match.arg(scale)
if (length(di <- dim(x)) != 2 || !is.numeric(x))
stop("'x' must be a numeric matrix")
nr <- di[1]
nc <- di[2]
if (nr <= 1 || nc <= 1)
stop("'x' must have at least 2 rows and 2 columns")
if (!is.numeric(margins) || length(margins) != 2)
stop("'margins' must be a numeric vector of length 2")
doRdend <- !identical(Rowv, NA)
doCdend <- !identical(Colv, NA)
if (is.null(Rowv))
Rowv <- rowMeans(x, na.rm = na.rm)
if (is.null(Colv))
Colv <- colMeans(x, na.rm = na.rm)
if (doRdend) {
if (inherits(Rowv, "dendrogram"))
ddr <- Rowv
else {
hcr <- hclustfun(distfun(x))
ddr <- as.dendrogram(hcr)
if (!is.logical(Rowv) || Rowv)
ddr <- reorderfun(ddr, Rowv)
}
if (nr != length(rowInd <- order.dendrogram(ddr)))
stop("row dendrogram ordering gave index of wrong length")
}
else rowInd <- 1:nr
if (doCdend) {
if (inherits(Colv, "dendrogram"))
ddc <- Colv
else if (identical(Colv, "Rowv")) {
if (nr != nc)
stop("Colv = \"Rowv\" but nrow(x) != ncol(x)")
ddc <- ddr
}
else {
hcc <- hclustfun(distfun(if (symm)
x
else t(x)))
ddc <- as.dendrogram(hcc)
if (!is.logical(Colv) || Colv)
ddc <- reorderfun(ddc, Colv)
}
if (nc != length(colInd <- order.dendrogram(ddc)))
stop("column dendrogram ordering gave index of wrong length")
}
else colInd <- 1:nc
x <- x[rowInd, colInd]
labRow <- if (is.null(labRow))
if (is.null(rownames(x)))
(1:nr)[rowInd]
else rownames(x)
else labRow[rowInd]
labCol <- if (is.null(labCol))
if (is.null(colnames(x)))
(1:nc)[colInd]
else colnames(x)
else labCol[colInd]
if (scale == "row") {
x <- sweep(x, 1, rowMeans(x, na.rm = na.rm))
sx <- apply(x, 1, sd, na.rm = na.rm)
x <- sweep(x, 1, sx, "/")
}
else if (scale == "column") {
x <- sweep(x, 2, colMeans(x, na.rm = na.rm))
sx <- apply(x, 2, sd, na.rm = na.rm)
x <- sweep(x, 2, sx, "/")
}
lmat <- rbind(c(NA, 3), 2:1)
lwid <- c(if (doRdend) 1 else 0.05, 4)
lhei <- c((if (doCdend) 1 else 0.05) + if (!is.null(main)) 0.2 else 0,
4)
if (!missing(ColSideColors)) {
if (!is.matrix(ColSideColors))
stop("'ColSideColors' must be a matrix")
if (!is.character(ColSideColors) || dim(ColSideColors)[1] != nc)
stop("'ColSideColors' dim()[2] must be of length ncol(x)")
lmat <- rbind(lmat[1, ] + 1, c(NA, 1), lmat[2, ] + 1)
lhei <- c(lhei[1], 0.2, lhei[2])
}
if (!missing(RowSideColors)) {
if (!is.matrix(RowSideColors))
stop("'RowSideColors' must be a matrix")
if (!is.character(RowSideColors) || dim(RowSideColors)[1] != nr)
stop("'RowSideColors' must be a character vector of length nrow(x)")
lmat <- cbind(lmat[, 1] + 1, c(rep(NA, nrow(lmat) - 1),
1), lmat[, 2] + 1)
lwid <- c(lwid[1], 0.2, lwid[2])
}
lmat[is.na(lmat)] <- 0
if (verbose) {
cat("layout: widths = ", lwid, ", heights = ", lhei,
"; lmat=\n")
print(lmat)
}
op <- par(no.readonly = TRUE)
on.exit(par(op))
layout(lmat, widths = lwid, heights = lhei, respect = FALSE)
if (!missing(RowSideColors)) {
par(mar = c(margins[1], 0, 0, 0.5))
rsc=RowSideColors[rowInd,];
rsc.colors=matrix();
rsc.names=names(table(rsc));
rsc.i=1;
for(rsc.name in rsc.names){
rsc.colors[rsc.i]=rsc.name;
rsc[rsc==rsc.name]=rsc.i;
rsc.i=rsc.i+1;
}
rsc=matrix(as.numeric(rsc), nrow=dim(rsc)[1]);
image(t(rsc), col = as.vector(rsc.colors), axes = FALSE)
if (length(colnames(RowSideColors))>0) {
axis(1, 0:(dim(rsc)[2]-1) / (dim(rsc)[2]-1), colnames(RowSideColors), las=2, tick=FALSE);
}
}
if (!missing(ColSideColors)) {
par(mar = c(0.5, 0, 0, margins[2]))
csc=ColSideColors[colInd,];
csc.colors=matrix();
csc.names=names(table(csc));
csc.i=1;
for(csc.name in csc.names){
csc.colors[csc.i]=csc.name;
csc[csc==csc.name]=csc.i;
csc.i=csc.i+1;
}
csc=matrix(as.numeric(csc), nrow=dim(csc)[1]);
image(csc, col = as.vector(csc.colors), axes = FALSE)
if (length(colnames(ColSideColors))>0) {
axis(2, 0:(dim(csc)[2]-1) / (dim(csc)[2]-1), colnames(ColSideColors), las=2, tick=FALSE);
}
}
par(mar = c(margins[1], 0, 0, margins[2]))
if (!symm || scale != "none") {
x <- t(x)
}
if (revC) {
iy <- nr:1
ddr <- rev(ddr)
x <- x[, iy]
}
else iy <- 1:nr
image(1:nc, 1:nr, x, xlim = 0.5 + c(0, nc), ylim = 0.5 +
c(0, nr), axes = FALSE, xlab = "", ylab = "", ...)
axis(1, 1:nc, labels = labCol, las = 2, line = -0.5, tick = 0,
cex.axis = cexCol)
if (!is.null(xlab))
mtext(xlab, side = 1, line = margins[1] - 1.25)
axis(4, iy, labels = labRow, las = 2, line = -0.5, tick = 0,
cex.axis = cexRow)
if (!is.null(ylab))
mtext(ylab, side = 4, line = margins[2] - 1.25)
if (!missing(add.expr))
eval(substitute(add.expr))
par(mar = c(margins[1], 0, 0, 0))
if (doRdend)
plot(ddr, horiz = TRUE, axes = FALSE, yaxs = "i", leaflab = "none")
else frame()
par(mar = c(0, 0, if (!is.null(main)) 1 else 0, margins[2]))
if (doCdend)
plot(ddc, axes = FALSE, xaxs = "i", leaflab = "none")
else if (!is.null(main))
frame()
if (!is.null(main))
title(main, cex.main = 1.5 * op[["cex.main"]])
invisible(list(rowInd = rowInd, colInd = colInd, Rowv = if (keep.dendro &&
doRdend) ddr, Colv = if (keep.dendro && doCdend) ddc))
}