# heatmap -- slightly modified version of 'heatmap()'
`heatmap` <- 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), heatColors = heat.colors(12), ColSideColors, RowSideColors,
cexRow = 0.2 + 1/log10(nr), cexCol = 0.2 + 1/log10(nc), labRow = NULL, labCol = NULL,
colRowLab = par('fg'), colColLab = par('fg'), main = NULL, xlab = NULL, ylab = NULL,
RdendroWidth = 1, CdendroHeight = 1, heatWidth = 4, heatHeight = 4,
show.values=FALSE, show.cex=0.75, show.digits=2,
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[1L]
nc <- di[2L]
if (nr <= 1 || nc <= 1) stop("'x' must have at least 2 rows and 2 columns")
if (!is.numeric(margins) || length(margins) != 2L) stop("'margins' must be a numeric vector of length 2")
doRdend <- !identical(Rowv, NA)
doCdend <- !identical(Colv, NA)
if (!doRdend && identical(Colv, "Rowv")) doCdend <- FALSE
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 <- 1L: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 <- 1L:nc
x <- x[rowInd, colInd]
labRow <- if (is.null(labRow))
if (is.null(rownames(x)))
(1L:nr)[rowInd]
else rownames(x)
else labRow[rowInd]
labCol <- if (is.null(labCol))
if (is.null(colnames(x)))
(1L:nc)[colInd]
else colnames(x)
else labCol[colInd]
if ( length(colRowLab) == nrow(x)) colRowLab <- colRowLab[rowInd]
if ( length(colColLab) == ncol(x)) colColLab <- colColLab[colInd]
if (scale == "row") {
x <- sweep(x, 1L, rowMeans(x, na.rm = na.rm), check.margin = FALSE)
sx <- apply(x, 1L, sd, na.rm = na.rm)
x <- sweep(x, 1L, sx, "/", check.margin = FALSE)
}
else if (scale == "column") {
x <- sweep(x, 2L, colMeans(x, na.rm = na.rm), check.margin = FALSE)
sx <- apply(x, 2L, sd, na.rm = na.rm)
x <- sweep(x, 2L, sx, "/", check.margin = FALSE)
}
lmat <- rbind(c(NA, 3), 2:1)
lwid <- c(if (doRdend) RdendroWidth else 0.05, heatWidth)
lhei <- c((if (doCdend) CdendroHeight else 0.05) + if (!is.null(main)) 0.2 else 0, heatHeight)
if (!missing(ColSideColors)) {
if (!is.character(ColSideColors) || length(ColSideColors) !=
nc)
stop("'ColSideColors' must be a character vector of length ncol(x)")
lmat <- rbind(lmat[1, ] + 1, c(NA, 1), lmat[2, ] + 1)
lhei <- c(lhei[1L], 0.2, lhei[2L])
}
if (!missing(RowSideColors)) {
if (!is.character(RowSideColors) || length(RowSideColors) !=
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[1L], 0.2, lwid[2L])
}
lmat[is.na(lmat)] <- 0
if (verbose) {
cat("layout: widths = ", lwid, ", heights = ", lhei,
"; lmat=\n")
print(lmat)
}
dev.hold()
on.exit(dev.flush())
op <- par(no.readonly = TRUE)
on.exit(par(op), add = TRUE)
layout(lmat, widths = lwid, heights = lhei, respect = TRUE)
if (!missing(RowSideColors)) {
par(mar = c(margins[1L], 0, 0, 0.5))
image(rbind(if (revC)
nr:1L
else 1L:nr), col = RowSideColors[rowInd], axes = FALSE)
}
if (!missing(ColSideColors)) {
par(mar = c(0.5, 0, 0, margins[2L]))
image(cbind(1L:nc), col = ColSideColors[colInd], axes = FALSE)
}
par(mar = c(margins[1L], 0, 0, margins[2L]))
if (!symm || scale != "none")
x <- t(x)
if (revC) {
iy <- nr:1
if (doRdend)
ddr <- rev(ddr)
x <- x[, iy]
}
else iy <- 1L:nr
image(1L:nc, 1L:nr, x, xlim = 0.5 + c(0, nc), ylim = 0.5 + c(0, nr),
axes = FALSE, xlab = "", ylab = "", col=heatColors, ...)
if (show.values) {
for ( ix in 1:nr) text( rep.int(ix,nc), 1:nc, as.character( round(x[ix,],dig=show.digits)), cex=show.cex)
}
nColors <- length( myColors <- unique(colColLab))
if ( nColors == 1) {
axis(1, 1L:nc, labels = labCol, las = 2, line = -0.5, tick = 0, cex.axis = cexCol,
col.axis=colColLab[1])
} else {
mtext( side=1, at=1:nc, text=labCol, las=2, cex=cexCol, col=colColLab)
# for ( myCol in myColors) {
# who <- which( colColLab == myCol)
# axis(1, who, labels = labCol[who], las = 2, line = -0.5, tick = 0, cex.axis = cexCol,
# col.axis=myCol)
# }
}
if (!is.null(xlab))
mtext(xlab, side = 1, line = margins[1L] - 1.25)
nColors <- length( myColors <- unique(colRowLab))
if ( nColors == 1) {
axis(4, iy, labels = labRow, las = 2, line = -0.5, tick = 0, cex.axis = cexRow,
col.axis=colRowLab[1])
} else {
mtext( side=4, at=iy, text=labRow, las=2, cex=cexRow, col=colRowLab)
# for ( myCol in myColors) {
# who <- which( colRowLab == myCol)
# axis(4, who, labels = labRow[who], las = 2, line = -0.5, tick = 0, cex.axis = cexRow,
# col.axis=myCol)
# }
}
if (!is.null(ylab))
mtext(ylab, side = 4, line = margins[2L] - 1.25)
if (!missing(add.expr))
eval(substitute(add.expr))
par(mar = c(margins[1L], 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[2L]))
if (doCdend)
plot(ddc, axes = FALSE, xaxs = "i", leaflab = "none")
else if (!is.null(main))
frame()
if (!is.null(main)) {
par(xpd = NA)
title(main, cex.main = 1.5 * op[["cex.main"]], line= -1)
}
invisible(list(rowInd = rowInd, colInd = colInd, Rowv = if (keep.dendro &&
doRdend) ddr, Colv = if (keep.dendro && doCdend) ddc))
}
`heatMapLegend` <- function( colorRamp, at, values, label=NULL, border.lwd=3, ...) {
par( mai=c(0.1,0.1,0.1,0.1))
N <- length( colorRamp)
# make a filled rectangle
plot( 1,1, type="n", xaxt="n", yaxt="n", xlim=c(0,N),
ylim=c(0,3), xlab=NA, ylab=NA, axes=F)
for( i in 1:N) rect( i-1, 1, i, 2, col=colorRamp[i], border=colorRamp[i])
rect( 0, 1, N, 2, border=1, lwd=border.lwd)
text( at, 1, values, pos=1, ...)
if ( ! is.null(label)) text( N/2, 2, label, pos=3)
}
`correlationHeatmap` <- function( m, Rowv=NA, Colv=NA, show.values=TRUE, show.digits=2, show.cex=0.75, ...) {
# given a square matrix of correlation coefficients (-1...+1)
require( gplots)
require( heatmap.plus)
# hard wire to a read green color ramp
colorRamp <- rainbow( 201, start=0.05, end=0.4, cosineShiftMagnitude=0, rev=T)
colorRampValues <- seq( -1, 1, by=0.01)
# force CC matrix to -1/+1 just in case
m[ m > 1] <- 1
m[ m < -1] <- -1
# when not using row dendrograms, invert to make it traditional with cell 1,1 in upper left
if ( is.na( Rowv)) {
mtmp <- m
for (i in 1:ncol(m)) mtmp[,i] <- rev( m[,i])
rownames(mtmp) <- rev( rownames(m))
m <- mtmp
}
# plot that heat
ans <- heatmap( m, heatColors=colorRamp, Rowv=Rowv, Colv=Colv, scale="none",
show.value=show.values, show.digits=show.digits, show.cex=show.cex, ...)
return( invisible(ans))
}
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