Last updated on 2016-12-28 23:47:14.
Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
---|---|---|---|---|---|---|
r-devel-linux-x86_64-debian-clang | 2.0-5 | 19.32 | 68.81 | 88.13 | OK | |
r-devel-linux-x86_64-debian-gcc | 2.0-5 | 19.07 | 67.53 | 86.60 | OK | |
r-devel-linux-x86_64-fedora-clang | 2.0-5 | 168.54 | OK | --no-stop-on-test-error | ||
r-devel-linux-x86_64-fedora-gcc | 2.0-5 | 166.42 | OK | --no-stop-on-test-error | ||
r-devel-macos-x86_64-clang | 2.0-5 | 125.83 | OK | --no-stop-on-test-error | ||
r-devel-windows-ix86+x86_64 | 2.0-5 | 78.00 | 186.00 | 264.00 | OK | |
r-patched-linux-x86_64 | 2.0-5 | 18.21 | 60.98 | 79.19 | OK | |
r-patched-solaris-sparc | 2.0-5 | 1196.80 | OK | |||
r-patched-solaris-x86 | 2.0-5 | 157.20 | ERROR | |||
r-release-linux-x86_64 | 2.0-5 | 18.33 | 60.94 | 79.27 | OK | |
r-release-osx-x86_64-mavericks | 2.0-5 | OK | ||||
r-release-windows-ix86+x86_64 | 2.0-5 | 56.00 | 167.00 | 223.00 | OK | |
r-oldrel-windows-ix86+x86_64 | 2.0-5 | 40.00 | 129.00 | 169.00 | OK |
Version: 2.0-5
Check: examples
Result: ERROR
Running examples in ‘glmnet-Ex.R’ failed
The error most likely occurred in:
> ### Name: cv.glmnet
> ### Title: Cross-validation for glmnet
> ### Aliases: cv.glmnet
> ### Keywords: models regression
>
> ### ** Examples
>
> set.seed(1010)
> n=1000;p=100
> nzc=trunc(p/10)
> x=matrix(rnorm(n*p),n,p)
> beta=rnorm(nzc)
> fx= x[,seq(nzc)] %*% beta
> eps=rnorm(n)*5
> y=drop(fx+eps)
> px=exp(fx)
> px=px/(1+px)
> ly=rbinom(n=length(px),prob=px,size=1)
> set.seed(1011)
> cvob1=cv.glmnet(x,y)
> plot(cvob1)
> coef(cvob1)
101 x 1 sparse Matrix of class "dgCMatrix"
1
(Intercept) -0.114499004
V1 -0.249682465
V2 0.354656099
V3 .
V4 -0.250595374
V5 -0.220882137
V6 0.281975536
V7 0.226455138
V8 -1.389842399
V9 1.055440917
V10 0.185144685
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V18 -0.008251507
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V26 0.029472478
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V75 -0.177175572
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> predict(cvob1,newx=x[1:5,], s="lambda.min")
1
[1,] -1.3447658
[2,] 0.9443441
[3,] 0.6989746
[4,] 1.8698290
[5,] -4.7372693
> title("Gaussian Family",line=2.5)
> set.seed(1011)
> cvob1a=cv.glmnet(x,y,type.measure="mae")
> plot(cvob1a)
> title("Gaussian Family",line=2.5)
> set.seed(1011)
> par(mfrow=c(2,2),mar=c(4.5,4.5,4,1))
> cvob2=cv.glmnet(x,ly,family="binomial")
> plot(cvob2)
> title("Binomial Family",line=2.5)
> frame()
> set.seed(1011)
> cvob3=cv.glmnet(x,ly,family="binomial",type.measure="class")
> plot(cvob3)
> title("Binomial Family",line=2.5)
> set.seed(1011)
> cvob3a=cv.glmnet(x,ly,family="binomial",type.measure="auc")
> plot(cvob3a)
> title("Binomial Family",line=2.5)
> set.seed(1011)
> mu=exp(fx/10)
> y=rpois(n,mu)
> cvob4=cv.glmnet(x,y,family="poisson")
> plot(cvob4)
> title("Poisson Family",line=2.5)
> # Multinomial
> n=500;p=30
> nzc=trunc(p/10)
> x=matrix(rnorm(n*p),n,p)
> beta3=matrix(rnorm(30),10,3)
> beta3=rbind(beta3,matrix(0,p-10,3))
> f3=x%*% beta3
> p3=exp(f3)
> p3=p3/apply(p3,1,sum)
> g3=rmult(p3)
> set.seed(10101)
> cvfit=cv.glmnet(x,g3,family="multinomial")
Error in apply(nz, 1, median) : dim(X) must have a positive length
Calls: cv.glmnet -> apply
Execution halted
Flavor: r-patched-solaris-x86