RLE_NUSE <-
function (bpstats, kind, strt=NULL,nd=NULL, parameters, lab, conditions=NULL, colors=NULL) {
#bpstats: NUSE or RLE statistics obtained by boxplotstats
#strt: first sample to be analyzed
#nd: last sample to be analyzed
#conditions: Vector with the different conditions
#colors: Vector with the colors assigned to each condition (in order of the unique(conditions))
if (is.null(strt) & is.null(nd)) {
strt <- 1
nd <- length(bpstats)
} else if (is.null(strt)){
strt <- 1
} else if (is.null(nd)) {
nd <- length(bpstats)
}
fitxer_int<-as.list(1:nd)
for (i in (strt:nd)){
fitxer_int[[i]]<- bpstats[[i]]$stats
}
if (is.null(conditions)) {
boxplot(fitxer_int[strt:nd],main=paste(kind, "plot"),xaxt="n")
axis(1,at=1:length(lab),labels=lab,cex.axis=parameters$ce,las=2)
}else if(is.null(colors)){
CondNames <- mixedsort(lab)
CondTable <- data.frame(CondNames,conditions)
conditions.o <- CondTable[match(lab, CondTable$CondNames),"conditions"]
list1 <- unique(as.character(sort(conditions.o)))
ColVect <- c(brewer.pal(8, "Dark2"), brewer.pal(12, "Paired")) #20 colors en total
list2 <- ColVect[1:length(unique(conditions.o))]
map = setNames(list2, list1)
colors <- map[conditions.o]
boxplot(fitxer_int[strt:nd],main=paste(kind, "plot"),xaxt="n", col=colors)
axis(1,at=1:length(lab),labels=lab,cex.axis=parameters$ce,las=2)
legend("topright",legend=list1, cex=parameters$ce+0.2, fill=list2)
} else {
CondNames <- mixedsort(lab)
#CondNames <- lab
CondTable <- data.frame(CondNames,conditions)
conditions.o <- CondTable[match(lab, CondTable$CondNames),"conditions"]
list1 <- unique(conditions.o)
list2 <- colors
map = setNames(list2, list1)
colors <- map[conditions.o]
boxplot(fitxer_int[strt:nd],main=paste(kind, "plot"),xaxt="n", col=colors)
axis(1,at=1:length(lab),labels=lab,cex.axis=parameters$ce,las=2)
legend("topright",legend=list1, cex=parameters$ce+0.2, fill=list2)
}
}
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