clearCode34<-function(dataDir=sigModelPath) {
library(pamr)
#data(xn)
#data(classes)
load(file.path(dataDir,"data/xn.rda"))
load(file.path(dataDir,"data/classes.rda"))
trainSet <- list(x=scale(xn), y=classes, geneid=rownames(xn), genenames=rownames(xn))
boxplot(xn)
mytrain <-pamr.train(trainSet)
class(mytrain)<-c(class(mytrain), "clearCode34")
return(mytrain)
}
logCenter<-function(df, xMedian=NULL){
#log2 and median center ( normalized data)
df<-log2(df+1)
if (is.null(xMedian)) xMedian=apply(df,1, median)
if (length(xMedian)!=nrow(df)) stop("scaling factor xMedian incorrect length")
df <-sweep(df,1, xMedian, FUN="-")
return(df)
}
predict.clearCode34<-function(model=clearCode34(), newdata, logcenter=TRUE, xMedian=NULL, boxplot=FALSE){
if(logcenter) newdata<-logCenter(newdata, xMedian)
if (boxplot) boxplot(newdata)
pred<-pamr.predict(model,scale(newdata),0)
posteriors<-pamr.predict(model,scale(newdata),0,type="posterior")
names(pred)= rownames(posteriors)
res<-cbind(data.frame(posteriors), prediction=as.character(pred))
return(res)
}
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