A function to plot the cross-validated sample probabilities from the nearest shrunken centroid classifier
A function to plot the cross-validated sample probabilities from the nearest shrunken centroid classifier
pamr.plotcvprob(fit, data, threshold)
fit |
The result of a call to pamr.cv |
data |
A list with at least two components: x- an expression genes in the rows, samples in the columns), and y- a vector of the class labels for each sample. Same form as data object used by pamr.train. |
threshold |
Threshold value to be used |
pamr.plotcvprob plots the cross-validated sample probabilities the from nearest shrunken
centroid classifier, stratified by the true classses.
Trevor Hastie,Robert Tibshirani, Balasubramanian Narasimhan, and Gilbert Chu
suppressWarnings(RNGversion("3.5.0"))
set.seed(120)
x <- matrix(rnorm(1000*20),ncol=20)
y <- sample(c(1:4),size=20,replace=TRUE)
mydata <- list(x=x,y=y)
mytrain <- pamr.train(mydata)
mycv <- pamr.cv(mytrain,mydata)
pamr.plotcvprob(mycv,mydata,threshold=1.6)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.