R/PCAPlot.R

Defines functions PCAPlot

Documented in PCAPlot

#' Plot principle component analysis for gene expression data.
#'
#' \code{PCAPlot} generates principle component plots for with the possibility
#'	to color arrays according to a known factor.
#'
#' @param Y A matrix of gene expression values or an object of class \code{prcomp}.
#' @param comp A vector of length 2 specifying which principle components to be used.
#' @param anno A dataframe or a matrix containing the annotation of the arrays.
#' @param Factor A character string describing the column name of \code{anno} used for coloring.
#' @param numeric A logical scalar indicating whether \code{Factor} is numerical.
#' @param new.legend A vector describing the names used for labelling; if \code{NULL} 
#' labels in \code{Factor} are used. 
#' @param title A character string giving the title. 
#' @return \code{PCAPlot} returns a plot.
#' @examples
#' Y<-simulateGEdata(500, 500, 10, 2, 5, g=NULL, Sigma.eps=0.1, 250, 100, check.input=FALSE)
#' PCAPlot(Y$Y, title="")
#' 
#' # Create random annotation file
#' anno<-as.matrix(sample(1:4, dim(Y$Y)[1], replace=TRUE))
#' colnames(anno)<-"Factor"
#' try(dev.off(), silent=TRUE)
#' PCAPlot(Y$Y, anno=anno, Factor="Factor", numeric=TRUE, title="")
#' @seealso \code{\link[stats]{prcomp}}
#' @author Saskia Freytag
#' @export
PCAPlot<-function(
					Y, # gene expression data or principle components
					comp=c(1,2), # Vector of components to plot
					anno=NULL, # 
					Factor=NULL, 
					numeric=FALSE,
					new.legend=NULL,
					title) {
					
	if(any(is.null(Factor)|is.null(anno))==FALSE){
		if(is.null(anno)|is.null(Factor)) stop("Both anno and factor have to be specified.")
		if(any(colnames(anno)==Factor)==FALSE) stop("Factor has to be a column of anno.")
		if(class(Y)!="prcomp"){
			if(dim(anno)[1]!=dim(Y)[1]) stop("Annotation does not match.")
		} else {
			if(dim(anno)[1]!=dim(Y$rotation)[1]) stop("Annotation does not match.")
		}
	}
	
	if(class(Y)!="prcomp"){
		pc<-prcomp(t(Y), center=TRUE)
	} else{
		pc<-Y
	}
	
	print("Calculation of principle components finished. Start plotting...")
	
	if(is.null(anno)==FALSE){
		category<-cbind(as.matrix(as.character(anno[, which(colnames(anno)==Factor)])), 1:dim(pc$rotation)[1])
		colnames(category)<-c("x", "ord")
		n.category<-length(unique(anno[, which(colnames(anno)==Factor)]))
		
		#require(grDevices)
		colours<-hcl(h = seq(0,360,round(360/n.category,2)), c=45, l=70)
		if (numeric==TRUE){
			colour.code<-cbind(unique(as.character(category[,1]))[order(unique(as.numeric(category[,1])))],colours[1:n.category])
		} else {colour.code<-cbind(sort(unique(as.character(category[,1])), na.last=T),colours[1:n.category])}
		colnames(colour.code)<-c("x", "colour")
		new.colours<-merge(category, colour.code, by="x")
		new.colours<-new.colours[,3]
		
		layout(matrix(c(1,2),nrow=1), widths=c(1,3))
		par(mar = c(3.5, 2.2, 2,1), mgp = c(1.3, 0.45, 0))
		plot(0,type='n',axes=FALSE,ann=FALSE)
		if(is.null(new.legend)){
			legend("topleft", legend=colour.code[,1], col=colour.code[,2], ncol=1, bty="n", pch=16, cex=0.75)
		} else {
			legend("topleft", legend=new.legend, col=colour.code[,2], ncol=1, bty="n", pch=16, cex=0.75)
		}
		plot(pc$rotation[,comp[1]],  pc$rotation[,comp[2]], col=as.character(new.colours), 
		xlab=paste("PC", comp[1]), ylab=paste("PC", comp[2]), bty="l")	
		mtext(text=paste(title), outer=T, side=3, line=-1.5, font=2, cex=1.25)	
		mtext(paste("St. Dev PC", comp[1], "=", round(pc$sdev[comp[1]],2), " St. Dev PC", comp[2], "=", round(pc$sdev[comp[2]],2), sep=""),
		outer=T, side=1, line=-1, font=2, cex=0.75)
	}
	
	if(is.null(anno)){
		plot(pc$rotation[,comp[1]],  pc$rotation[,comp[2]], xlab=paste("PC", comp[1]), ylab=paste("PC", comp[2]), bty="l")
		mtext(text=paste(title), outer=T, side=3, line=-2, font=2, cex=1.25)	
		mtext(paste("St. Dev PC", comp[1], "=", round(pc$sdev[comp[1]],2), " St. Dev PC", 
		comp[2], "=", round(pc$sdev[comp[2]],2), sep=""), outer=T, side=1, line=-1, font=2, cex=0.75)
	}
}
PeteHaitch/RUVcorr documentation built on May 9, 2017, 5:43 p.m.