Last updated on 2019-03-14 00:46:44 CET.
Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
---|---|---|---|---|---|---|
r-devel-linux-x86_64-debian-clang | 0.4-1 | 9.69 | 59.45 | 69.14 | OK | |
r-devel-linux-x86_64-debian-gcc | 0.4-1 | 8.38 | 47.46 | 55.84 | OK | |
r-devel-linux-x86_64-fedora-clang | 0.4-1 | 85.75 | OK | |||
r-devel-linux-x86_64-fedora-gcc | 0.4-1 | 82.35 | OK | |||
r-devel-windows-ix86+x86_64 | 0.4-1 | 23.00 | 88.00 | 111.00 | OK | |
r-patched-linux-x86_64 | 0.4-1 | 8.28 | 58.71 | 66.99 | OK | |
r-patched-solaris-x86 | 0.4-1 | 132.40 | OK | |||
r-release-linux-x86_64 | OK | |||||
r-release-windows-ix86+x86_64 | 0.4-1 | 17.00 | 84.00 | 101.00 | OK | |
r-release-osx-x86_64 | 0.4-1 | OK | ||||
r-oldrel-windows-ix86+x86_64 | 0.4-1 | 14.00 | 87.00 | 101.00 | ERROR | |
r-oldrel-osx-x86_64 | 0.4-1 | OK |
Version: 0.4-1
Check: examples
Result: ERROR
Running examples in 'MatrixModels-Ex.R' failed
The error most likely occurred in:
> ### Name: lm.fit.sparse
> ### Title: Fitter Function for Sparse Linear Models
> ### Aliases: lm.fit.sparse
> ### Keywords: regression array
>
> ### ** Examples
>
> dd <- expand.grid(a = as.factor(1:3),
+ b = as.factor(1:4),
+ c = as.factor(1:2),
+ d= as.factor(1:8))
> n <- nrow(dd <- dd[rep(seq_len(nrow(dd)), each = 10), ])
> set.seed(17)
> dM <- cbind(dd, x = round(rnorm(n), 1))
> ## randomly drop some
> n <- nrow(dM <- dM[- sample(n, 50),])
> dM <- within(dM, { A <- c(2,5,10)[a]
+ B <- c(-10,-1, 3:4)[b]
+ C <- c(-8,8)[c]
+ D <- c(10*(-5:-2), 20*c(0, 3:5))[d]
+ Y <- A + B + A*B + C + D + A*D + C*x + rnorm(n)/10
+ wts <- sample(1:10, n, replace=TRUE)
+ rm(A,B,C,D)
+ })
> str(dM) # 1870 x 7
'data.frame': 1870 obs. of 7 variables:
$ a : Factor w/ 3 levels "1","2","3": 1 1 1 1 1 1 1 1 1 2 ...
$ b : Factor w/ 4 levels "1","2","3","4": 1 1 1 1 1 1 1 1 1 1 ...
$ c : Factor w/ 2 levels "1","2": 1 1 1 1 1 1 1 1 1 1 ...
$ d : Factor w/ 8 levels "1","2","3","4",..: 1 1 1 1 1 1 1 1 1 1 ...
$ x : num -1 -0.1 -0.2 -0.8 0.8 -0.2 1 0.3 0.4 1.2 ...
$ wts: int 7 6 3 4 6 10 3 10 3 2 ...
$ Y : num -178 -185 -185 -180 -192 ...
>
> X <- Matrix::sparse.model.matrix( ~ (a+b+c+d)^2 + c*x, data = dM)
> dim(X) # 1870 x 69
[1] 1870 69
> X[1:10, 1:20]
10 x 20 sparse Matrix of class "dgCMatrix"
Error in isFALSE(suppRows) : could not find function "isFALSE"
Calls: <Anonymous> -> <Anonymous> -> printSpMatrix2
Execution halted
Flavor: r-oldrel-windows-ix86+x86_64