A function giving prediction information for many threshold values, from a nearest shrunken centroid fit.
A function giving prediction information for many threshold values, from a nearest shrunken centroid fit
pamr.predictmany(fit, newx, threshold = fit$threshold, prior = fit$prior,
threshold.scale = fit$threshold.scale, ...)fit |
The result of a call to pamr.train |
newx |
Matrix of features at which predictions are to be made |
threshold |
The desired threshold values |
prior |
Prior probabilities for each class. Default is that specified in "fit" |
threshold.scale |
Additional scaling factors to be applied to the thresholds. Vector of length equal to the number of classes. Default is that specified in "fit". |
... |
Additional arguments to be passed to pamr.predict |
Trevor Hastie, Robert Tibshirani, Balasubramanian Narasimhan, and Gilbert Chu
suppressWarnings(RNGversion("3.5.0"))
set.seed(120)
x <- matrix(rnorm(1000*20),ncol=20)
y <- sample(c(1:4),size=20,replace=TRUE)
mydata <- list(x=x,y=y)
mytrain <- pamr.train(mydata)
pamr.predictmany(mytrain, mydata$x)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.