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#'Plot showing correlation between all channels across replicates
#'
#' Plot of the correlation between all the channels in the data.
#'
#' @param x object of class 'ChemoProtSet'
#' @param ... corrplot options
#' @return correlation plot for objects of class ChemoProtSet
#'
#' @export
#' @docType methods
#' @rdname corrPlot-methods
#' @examples
#'
#'ex <- processedExample
#'ex <- runNormalisation(ex)
#'ex <- fitModel(ex)
#'corrPlot(ex)
#'
#'
setGeneric(name = "corrPlot", def = function(x, ...) {
standardGeneric("corrPlot")
})
#' @rdname corrPlot-methods
#' @importFrom corrgram corrgram
#' @importFrom stats cor
#' @aliases corrPlot,ANY,ANY-method
#'
setMethod(f = "corrPlot", signature = "ChemoProtSet", definition = function(x, ...) {
if (x@parameters$modelType == "sigmoid") {
su <- x@normData
} else {
if (x@parameters$reps == 1) {
su <- x@normData
} else {
su <- x@finalData
}
}
if (x@parameters$dataType == "intensity") {
index <- 1:((x@parameters$chans - 1) * x@parameters$reps)
} else {
index <- 1:(x@parameters$chans * x@parameters$reps)
}
# panel.shadeNtext <- NULL; panel.pie <- NULL; panel.txt <- NULL ;
index <- length(index)
# panel.shadeNtext
cmat <- cor(su[, 1:index], use = "pairwise", method = "pearson")
corrgram(cmat, order = TRUE, lower.panel = function(x, y, corr = NULL, col.regions, ...) {
if (is.null(corr))
corr <- stats::cor(x, y, use = "
pair")
ncol <- 14
pal <- col.regions(ncol)
col.ind <- as.numeric(cut(corr, breaks = seq(from = -1, to = 1, length = ncol + 1), include.lowest = TRUE))
usr <- graphics::par("usr")
graphics::rect(usr[1], usr[3], usr[2], usr[4], col = pal[col.ind], border = NA)
graphics::box(col = "lightgray")
on.exit(graphics::par(usr))
graphics::par(usr = c(0, 1, 0, 1))
r <- formatC(corr, digits = 2, format = "f")
cex.cor <- 0.8/graphics::strwidth("-X.xx")
graphics::text(0.5, 0.5, r, cex = cex.cor)
}, upper.panel = corrgram::panel.pie, text.panel = corrgram::panel.txt, main = "Corrgram Plots")
})
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