Description Usage Arguments Details Author(s) Examples
View source: R/pamr.confusion.R
A function giving a table of true versus predicted values, from a nearest shrunken centroid fit.
1 | pamr.confusion(fit, threshold, extra=TRUE)
|
fit |
The result of a call to pamr.train or pamr.cv |
threshold |
The desired threshold value |
extra |
Should the classwise and overall error rates be returned? Default TRUE |
pamr.confusion
Gives 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
1 2 3 4 5 6 7 8 9 10 | 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.confusion(mytrain, threshold=2)
pamr.confusion(mycv, threshold=2)
|
Loading required package: cluster
Loading required package: survival
1234567891011121314151617181920212223242526272829301234Fold 1 :123456789101112131415161718192021222324252627282930
Fold 2 :123456789101112131415161718192021222324252627282930
Fold 3 :123456789101112131415161718192021222324252627282930
Fold 4 :123456789101112131415161718192021222324252627282930
1 2 3 4 Class Error rate
1 0 0 5 0 1
2 0 0 4 0 1
3 0 0 6 0 0
4 0 0 5 0 1
Overall error rate= 0.609
1 2 3 4 Class Error rate
1 0 0 5 0 1.0000000
2 0 0 4 0 1.0000000
3 0 0 5 1 0.1666667
4 0 0 3 2 0.6000000
Overall error rate= 0.571
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