#' plotGenesMat
#'
#' \code{plotGenesMat} wrapper function for plotting the scatterplots associated with two matrices.
#'
#' @param mets matrix with methylation data.
#' @param expres matrix with expression data.
#' @param fileName name of the file used to save the results as pdf.
#' @param text4Title NULL, name for the plot title containing the gene name and the L-shape score.
#' @param x1, x2, Coordinates of vertical points in the X axis. Because it is expected to contain methylation values that vary between 0 and 1 the default values are 1/3 and 2/3.
#' @param y1, y2, Coordinates of vertical points in the Y axis. Leaving them as NULL assigns them the percentiles of yVec defined by `percY1` and `percY2`.
#' @param percY1, percY2 Values used to act as default for `y1`and `y2` when these are set to `NULL`.
#' @param plotGrid logical; default set to TRUE will plot gridlines on the graph.
#' @param logicSc NULL, numeric score representing the L-shape score.
#'
#' @keywords scatterplot gene plot matrix
#' @export plotGenesMat
#' @examples
#' \dontrun{
#' plotGenesMat (mets=myMet, expres=myExpr, fileName="GenesPlots.pdf")
#'}
#'
plotGenesMat <- function(mets, expres, fileName, text4Title=NULL,
x1=1/3, x2=2/3,
y1=NULL, y2=NULL,
percY1=1/3, percY2=2/3,
plotGrid=TRUE, logicSc = NULL){
if (!is.null(fileName))
pdf(fileName)
if (!is.null(text4Title)){
text4Title <- paste(rownames(expres),text4Title, sep=", ")
}else{
if (is.null(logicSc)){
text4Title<- rownames(expres)
}else{
text4Title<- paste(rownames(expres), "\n L-shaped = ", logicSc, sep = " ") #text4Title<- rownames(expres)
}
}
# opt<-par(mfrow=c(2,2))
for (gene in 1:nrow(expres)){
xVec<- as.numeric(mets[gene,])
yVec<- as.numeric(expres[gene,])
plotGeneSel(xMet=xVec, yExp=yVec, titleText=text4Title[gene],
x1=x1, x2=x2, percY1=percY1, percY2=percY2, plotGrid=plotGrid) #x1=1/3, x2=2/3, plotGrid=plotGrid)
}
# par(opt)
if (!is.null(fileName))
dev.off()
}
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