Nothing
# plots the genewise sequential sum of squares adjusted by model SSQ (model - intercept =100%)
Plot.sequential <- function(xx, formula, model.dat=NULL, test.genes=NULL, name.geneset="")
{
if(!is.null(test.genes))
xx <- xx[test.genes,,drop=FALSE]
ANOVA.g<-decomp.ssq.genewise(xx,formula,model.dat)
ssq<-ANOVA.g$SSQ
nt<-length(ANOVA.g$terms)-1 #number of terms
p<-dim(ssq)[1]-1 #number of genes
ssq<-ssq[p:1,]
#adjustment
model.adj<-rowSums(ssq[,1:nt])-ssq[,"Intercept"]
ssq<-ssq/model.adj
title<-paste("Sequential Sum of Squares",name.geneset)
if (nt<=5){color<-my.colors(5,reverse=T)[1:(nt-1)]}
else {color<-my.colors(nt-1,reverse=T)}
op<-par(las=1,mar=c(3,7,4,0),cex.axis=.7)
barplot(t(ssq[,2:nt]),xpd=F,width=0.715,space=.4,xlim=c(0,1.4),ylim=c(0,p) ,horiz=T,main=title,legend.text=F,axes=F,col=color)
legend(x=c(1.02,1.4),y=c(p,0),ANOVA.g$terms[2:nt],fill=color)
axis(1,0:5/5)
axis(2,1:p-.4,F)
#op
}
my.colors<-function(nlevels=50,mat=NA, range=NA, reverse=F)
{
#produces a rainbow colourscale from darkblue to darkred
ncolors<-nlevels
if (is.numeric(mat)) {ncolors<-length(pretty(range(mat,na.rm=TRUE),nlevels))-1}
if (is.numeric(range)) {ncolors<-length(pretty(range,nlevels))-1}
nred<-as.integer(ncolors/10)
if (nred==0) {col<-rainbow(ncolors-2*nred,start=0,end=4/6)}
else
{
lcol<-length(col)
middle<-ceiling(lcol/2)
col<-rainbow(ncolors-2*nred+1,start=.95,end=4/6)
col<-col[-middle]
}
red<-rgb(seq(150,255,length=nred+1),rep(0,nred+1),rep(0,nred+1),maxColorValue=255)
red<-red[-(nred+1)]
blue<-rgb(rep(0,nred+1),rep(0,nred+1),seq(255,150,length=nred+1),maxColorValue=255)
blue<-blue[-1]
col<-c(red,col,blue)
#col<-topo.colors(nlevels)
if(!reverse)col<-col[(length(col)):1]
col
}
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