CRAN Package Check Results for Package svd

Last updated on 2017-01-24 13:51:55.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 0.4 7.36 15.47 22.83 OK
r-devel-linux-x86_64-debian-gcc 0.4 7.03 15.20 22.23 OK
r-devel-linux-x86_64-fedora-clang 0.4 38.37 OK --no-stop-on-test-error
r-devel-linux-x86_64-fedora-gcc 0.4 37.13 OK --no-stop-on-test-error
r-devel-macos-x86_64-clang 0.4 31.78 OK --no-stop-on-test-error
r-devel-windows-ix86+x86_64 0.4 33.00 64.00 97.00 OK
r-patched-linux-x86_64 0.4 6.27 13.00 19.27 OK
r-patched-solaris-sparc 0.4 186.50 ERROR
r-patched-solaris-x86 0.4 57.70 ERROR
r-release-linux-x86_64 0.4 6.43 12.99 19.42 OK
r-release-osx-x86_64-mavericks 0.4 OK
r-release-windows-ix86+x86_64 0.4 46.00 52.00 98.00 OK
r-oldrel-windows-ix86+x86_64 0.4 69.00 52.00 121.00 OK

Memtest notes: valgrind

Check Details

Version: 0.4
Check: examples
Result: ERROR
    Running examples in ‘svd-Ex.R’ failed
    The error most likely occurred in:
    
    > ### Name: extmat
    > ### Title: External matrices operations.
    > ### Aliases: is.extmat extmat.ncol extmat.nrow extmat ematmul
    >
    > ### ** Examples
    >
    > ## Not run:
    > ##D library(Matrix)
    > ##D f <- function(v) as.numeric(A %*% v) # Convert Matrix object back to vector
    > ##D tf <- function(v) as.numeric(tA %*% v) # Convert Matrix object back to vector
    > ##D
    > ##D e <- new.env()
    > ##D assign("A", USCounties, e)
    > ##D assign("tA", t(USCounties), e)
    > ##D environment(f) <- e
    > ##D environment(tf) <- e
    > ##D
    > ##D m <-extmat(f, tf, nrow(USCounties), ncol(USCounties))
    > ##D system.time(v1 <- propack.svd(m, neig = 10))
    > ##D # user system elapsed
    > ##D # 0.252 0.007 0.259
    > ##D system.time(v2 <- propack.svd(as.matrix(USCounties), neig = 10))
    > ##D # user system elapsed
    > ##D # 8.563 0.027 8.590
    > ## End(Not run)
    >
    > # The largest eigenvalue and the corresponding eigenvector of a Hilbert matrix
    > h <- outer(1:5000, 1:5000, function(i, j) 1 / (i + j - 1))
    > v1 <- trlan.eigen(h, neig = 1)
    > # Same, but using complex numbers
    > v2 <- ztrlan.eigen(h, neig = 1)
    
     *** caught segfault ***
    address 4000, cause 'memory not mapped'
    
    Traceback:
     1: .Call("ztrlan_eigen", X, neig, opts, lambda, U)
     2: ztrlan.eigen(h, neig = 1)
    An irrecoverable exception occurred. R is aborting now ...
Flavor: r-patched-solaris-sparc

Version: 0.4
Check: examples
Result: ERROR
    Running examples in ‘svd-Ex.R’ failed
    The error most likely occurred in:
    
    > ### Name: extmat
    > ### Title: External matrices operations.
    > ### Aliases: is.extmat extmat.ncol extmat.nrow extmat ematmul
    >
    > ### ** Examples
    >
    > ## Not run:
    > ##D library(Matrix)
    > ##D f <- function(v) as.numeric(A %*% v) # Convert Matrix object back to vector
    > ##D tf <- function(v) as.numeric(tA %*% v) # Convert Matrix object back to vector
    > ##D
    > ##D e <- new.env()
    > ##D assign("A", USCounties, e)
    > ##D assign("tA", t(USCounties), e)
    > ##D environment(f) <- e
    > ##D environment(tf) <- e
    > ##D
    > ##D m <-extmat(f, tf, nrow(USCounties), ncol(USCounties))
    > ##D system.time(v1 <- propack.svd(m, neig = 10))
    > ##D # user system elapsed
    > ##D # 0.252 0.007 0.259
    > ##D system.time(v2 <- propack.svd(as.matrix(USCounties), neig = 10))
    > ##D # user system elapsed
    > ##D # 8.563 0.027 8.590
    > ## End(Not run)
    >
    > # The largest eigenvalue and the corresponding eigenvector of a Hilbert matrix
    > h <- outer(1:5000, 1:5000, function(i, j) 1 / (i + j - 1))
    > v1 <- trlan.eigen(h, neig = 1)
    > # Same, but using complex numbers
    > v2 <- ztrlan.eigen(h, neig = 1)
    
     *** caught segfault ***
    address ed2ffff3, cause 'memory not mapped'
    
    Traceback:
     1: .Call("ztrlan_eigen", X, neig, opts, lambda, U)
     2: ztrlan.eigen(h, neig = 1)
    An irrecoverable exception occurred. R is aborting now ...
Flavor: r-patched-solaris-x86