rsCoxmeByCorrections <- function(nda, correction.type, score, seqquant,
randsign, adj.var.GS = "GSadj", comp.RUV = c(1,2), mc.cores = 1,
adjusted.var.random = NA, adjusted.var.fixed= NA, GSs = NULL,
executation.info=TRUE, signature.method = "zscore", ...){
if(correction.type %in% c("Gsignature", "none", "SVA")) ln <- 1
else ln <- length(seqquant)
if(is.null(GSs))
GSs <- GSnegControls(nda=nda, correction.type = correction.type,
score=score, seqquant=seqquant, comp.RUV = comp.RUV , ...)
rcs.nda.cor.1 <- lapply(seq_len(ln), function(K){
rcs <- randomSigCoxmeSimple(nda, randsign = randsign, sigSize = NULL,
mc.cores = mc.cores, signature.method = signature.method, needScaling = FALSE,
nite=500, GS = GSs[[K]],
adjusted.var.random = adjusted.var.random,
adj.var.GS = adj.var.GS, adjusted.var.fixed = adjusted.var.fixed,
executation.info=executation.info)
do.call(rbind,rcs)
})
return(rcs.nda.cor.1)
}
plotrsCoxmeByCorrections <- function(rcs.nda.cor.1,
correction.type = "NCsignatures", show.stat = TRUE, legend.out= TRUE,
seqquant = NA, ...){
whstat <- ifelse(show.stat, 4, 1)
if(legend.out) par(mar=c(5.1, 5.1, 4.1, 7.5), xpd= FALSE)
else par(xpd= FALSE)
LIMS <- vapply(rcs.nda.cor.1, function(x){
aux <- density(x[,whstat])
c(min(aux$x),max(aux$x), max(aux$y))
}, double(3))
ln <- length(rcs.nda.cor.1)
for( i in seq_len(ln)){
if(i==1)
plot(density(rcs.nda.cor.1[[1]][,whstat]), xlim=c(min(LIMS[1,]),
max(LIMS[2,])), ylim = c(0,max(LIMS[3,])), ...)
else
lines(density(rcs.nda.cor.1[[i]][,whstat]), col=grey.colors(ln)[i],
lty=i, ...)
}
coord <- par("usr")
lines(c(0,0),coord[3:4], col=3,lty=2)
if(legend.out){
par(xpd=TRUE)
if(correction.type %in% c("NCsignatures", "Gsignature", "RUV"))
legend(x = coord[2] * 1.05, y = coord[4],
legend = paste0(round(seqquant,3)), title = "neg.cont",
col = grey.colors(ln), lty=seq_len(ln), lwd = 2)
par(xpd=FALSE)
}
#par(mfrow=c(1,1))
}
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