Nothing
# matdensity <- function(x,
# ylab="density", xlab="x", type="l", plot=TRUE,
# ...) {
# x.density <- apply(mat, 2, density)
# all.x <- do.call("cbind", lapply(x.density, function(x) x$x))
# all.y <- do.call("cbind", lapply(x.density, function(x) x$y))
# if (plot)
# matplot(all.x, all.y, ylab=ylab, xlab=xlab, ...)
# invisible(list(all.x=all.x, all.y=all.y))
# }
plotDensity <- function(mat,
ylab="density", xlab="x", type="l", col=1:6,
na.rm = TRUE,
...) {
x.density <- apply(mat, 2, density, na.rm = na.rm)
all.x <- do.call(cbind, lapply(x.density, function(x) x$x))
all.y <- do.call(cbind, lapply(x.density, function(x) x$y))
matplot(all.x, all.y, ylab=ylab, xlab=xlab, type=type, col=col, ...)
invisible(list(all.x=all.x, all.y=all.y))
}
plotDensity.AffyBatch <- function(x, col=1:6, log=TRUE,
which=c("pm","mm","both"),
ylab="density",
xlab=NULL,
...){
Index <- unlist(indexProbes(x, which=which))
x <- intensity(x)[Index, ,drop=FALSE]
if(log){
x <- log2(x)
if(is.null(xlab)) xlab <- "log intensity"
}
else if(is.null(xlab)) xlab <- "intensity"
invisible(plotDensity(x, ylab=ylab, xlab=xlab, col=col, ...))
}
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