A function giving prediction information, from a nearest shrunken centroid fit.
A function giving prediction information, from a nearest shrunken centroid fit
pamr.predict(fit, newx, threshold,
type = c("class", "posterior", "centroid", "nonzero"),
prior = fit$prior, threshold.scale = fit$threshold.scale)fit |
The result of a call to pamr.train |
newx |
Matrix of features at which predictions are to be made |
threshold |
The desired threshold value |
type |
Type of prediction desired: class predictions, posterior probabilities, (unshrunken) class centroids, vector of genes surviving the threshold |
prior |
Prior probabilities for each class. Default is that specified in "fit" |
threshold.scale |
Additional scaling factors to be applied to the thresholds. Vector of length equal to the number of classes. Default is that specified in "fit". |
pamr.predict Give a cross-tabulation of true versus
predicted classes for the fit returned by pamr.train or pamr.cv,
at the specified threshold
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.predict(mytrain, mydata$x , threshold=1)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.