CRAN Package Check Results for Package Matrix

Last updated on 2019-03-24 22:49:45 CET.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 1.2-16 175.69 310.21 485.90 WARN
r-devel-linux-x86_64-debian-gcc 1.2-17 123.15 245.74 368.89 OK
r-devel-linux-x86_64-fedora-clang 1.2-17 605.31 OK
r-devel-linux-x86_64-fedora-gcc 1.2-17 581.12 OK
r-devel-windows-ix86+x86_64 1.2-16 393.00 477.00 870.00 OK
r-patched-linux-x86_64 1.2-16 134.74 288.86 423.60 OK
r-patched-solaris-x86 1.2-17 OK
r-release-linux-x86_64 1.2-16 130.80 294.83 425.63 OK
r-release-windows-ix86+x86_64 1.2-17 378.00 582.00 960.00 OK
r-release-osx-x86_64 1.2-16 OK
r-oldrel-windows-ix86+x86_64 1.2-16 223.00 284.00 507.00 ERROR
r-oldrel-osx-x86_64 1.2-16 ERROR

Additional issues

rchk

Check Details

Version: 1.2-16
Check: whether package can be installed
Result: WARN
    Found the following significant warnings:
     Warning: unable to re-encode 'Summary.R' lines 183, 328, 329
Flavor: r-devel-linux-x86_64-debian-clang

Version: 1.2-16
Check: R code for possible problems
Result: NOTE
    printSpMatrix2: no visible global function definition for 'isFALSE'
    print,sparseMatrix: no visible global function definition for 'isFALSE'
    Undefined global functions or variables:
     isFALSE
Flavors: r-oldrel-windows-ix86+x86_64, r-oldrel-osx-x86_64

Version: 1.2-16
Check: running examples for arch ‘i386’
Result: ERROR
    Running examples in 'Matrix-Ex.R' failed
    The error most likely occurred in:
    
    > ### Name: Cholesky
    > ### Title: Cholesky Decomposition of a Sparse Matrix
    > ### Aliases: Cholesky Cholesky,dsCMatrix-method
    > ### Cholesky,CsparseMatrix-method Cholesky,sparseMatrix-method
    > ### Cholesky,nsparseMatrix-method Cholesky,Matrix-method
    > ### .SuiteSparse_version
    > ### Keywords: array algebra
    >
    > ### ** Examples
    >
    > data(KNex)
    > mtm <- with(KNex, crossprod(mm))
    > str(mtm@factors) # empty list()
     list()
    > (C1 <- Cholesky(mtm)) # uses show(<MatrixFactorization>)
    'MatrixFactorization' of Formal class 'dCHMsimpl' [package "Matrix"] with 10 slots
     ..@ x : num [1:7451] 1 0.0919 -0.1241 -0.0984 1 ...
     ..@ p : int [1:713] 0 4 8 12 16 24 31 39 46 54 ...
     ..@ i : int [1:7451] 0 692 697 708 1 690 696 707 2 690 ...
     ..@ nz : int [1:712] 4 4 4 4 8 7 8 7 8 7 ...
     ..@ nxt : int [1:714] 1 2 3 4 5 6 7 8 9 10 ...
     ..@ prv : int [1:714] 713 0 1 2 3 4 5 6 7 8 ...
     ..@ colcount: int [1:712] 4 4 4 4 8 7 8 7 8 7 ...
     ..@ perm : int [1:712] 256 243 242 241 213 693 212 692 125 633 ...
     ..@ type : int [1:4] 2 0 0 1
     ..@ Dim : int [1:2] 712 712
    > str(mtm@factors) # 'sPDCholesky' (simpl)
    List of 1
     $ sPDCholesky:Formal class 'dCHMsimpl' [package "Matrix"] with 10 slots
     .. ..@ x : num [1:7451] 1 0.0919 -0.1241 -0.0984 1 ...
     .. ..@ p : int [1:713] 0 4 8 12 16 24 31 39 46 54 ...
     .. ..@ i : int [1:7451] 0 692 697 708 1 690 696 707 2 690 ...
     .. ..@ nz : int [1:712] 4 4 4 4 8 7 8 7 8 7 ...
     .. ..@ nxt : int [1:714] 1 2 3 4 5 6 7 8 9 10 ...
     .. ..@ prv : int [1:714] 713 0 1 2 3 4 5 6 7 8 ...
     .. ..@ colcount: int [1:712] 4 4 4 4 8 7 8 7 8 7 ...
     .. ..@ perm : int [1:712] 256 243 242 241 213 693 212 692 125 633 ...
     .. ..@ type : int [1:4] 2 0 0 1
     .. ..@ Dim : int [1:2] 712 712
    > (Cm <- Cholesky(mtm, super = TRUE))
    'MatrixFactorization' of Formal class 'dCHMsuper' [package "Matrix"] with 9 slots
     ..@ x : num [1:16616] 1 0.0919 -0.1241 -0.0984 1 ...
     ..@ super : int [1:132] 0 1 2 3 4 6 8 10 11 12 ...
     ..@ pi : int [1:132] 0 4 8 12 16 24 32 40 45 50 ...
     ..@ px : int [1:132] 0 4 8 12 16 32 48 64 69 74 ...
     ..@ s : int [1:1713] 0 692 697 708 1 690 696 707 2 690 ...
     ..@ colcount: int [1:712] 4 4 4 4 8 7 8 7 8 7 ...
     ..@ perm : int [1:712] 256 243 242 241 213 693 212 692 125 633 ...
     ..@ type : int [1:6] 2 1 1 1 676 26
     ..@ Dim : int [1:2] 712 712
    > c(C1 = isLDL(C1), Cm = isLDL(Cm))
     C1 Cm
     TRUE FALSE
    > str(mtm@factors) # 'sPDCholesky' *and* 'SPdCholesky'
    List of 2
     $ sPDCholesky:Formal class 'dCHMsimpl' [package "Matrix"] with 10 slots
     .. ..@ x : num [1:7451] 1 0.0919 -0.1241 -0.0984 1 ...
     .. ..@ p : int [1:713] 0 4 8 12 16 24 31 39 46 54 ...
     .. ..@ i : int [1:7451] 0 692 697 708 1 690 696 707 2 690 ...
     .. ..@ nz : int [1:712] 4 4 4 4 8 7 8 7 8 7 ...
     .. ..@ nxt : int [1:714] 1 2 3 4 5 6 7 8 9 10 ...
     .. ..@ prv : int [1:714] 713 0 1 2 3 4 5 6 7 8 ...
     .. ..@ colcount: int [1:712] 4 4 4 4 8 7 8 7 8 7 ...
     .. ..@ perm : int [1:712] 256 243 242 241 213 693 212 692 125 633 ...
     .. ..@ type : int [1:4] 2 0 0 1
     .. ..@ Dim : int [1:2] 712 712
     $ SPdCholesky:Formal class 'dCHMsuper' [package "Matrix"] with 9 slots
     .. ..@ x : num [1:16616] 1 0.0919 -0.1241 -0.0984 1 ...
     .. ..@ super : int [1:132] 0 1 2 3 4 6 8 10 11 12 ...
     .. ..@ pi : int [1:132] 0 4 8 12 16 24 32 40 45 50 ...
     .. ..@ px : int [1:132] 0 4 8 12 16 32 48 64 69 74 ...
     .. ..@ s : int [1:1713] 0 692 697 708 1 690 696 707 2 690 ...
     .. ..@ colcount: int [1:712] 4 4 4 4 8 7 8 7 8 7 ...
     .. ..@ perm : int [1:712] 256 243 242 241 213 693 212 692 125 633 ...
     .. ..@ type : int [1:6] 2 1 1 1 676 26
     .. ..@ Dim : int [1:2] 712 712
    > str(cm1 <- as(C1, "sparseMatrix"))
    Formal class 'dtCMatrix' [package "Matrix"] with 7 slots
     ..@ i : int [1:7451] 0 692 697 708 1 690 696 707 2 690 ...
     ..@ p : int [1:713] 0 4 8 12 16 24 31 39 46 54 ...
     ..@ Dim : int [1:2] 712 712
     ..@ Dimnames:List of 2
     .. ..$ : NULL
     .. ..$ : NULL
     ..@ x : num [1:7451] 1 0.0919 -0.1241 -0.0984 1 ...
     ..@ uplo : chr "L"
     ..@ diag : chr "N"
    > str(cmat <- as(Cm, "sparseMatrix"))# hmm: super is *less* sparse here
    Formal class 'dtCMatrix' [package "Matrix"] with 7 slots
     ..@ i : int [1:12501] 0 692 697 708 1 690 696 707 2 690 ...
     ..@ p : int [1:713] 0 4 8 12 16 24 31 39 46 54 ...
     ..@ Dim : int [1:2] 712 712
     ..@ Dimnames:List of 2
     .. ..$ : NULL
     .. ..$ : NULL
     ..@ x : num [1:12501] 1 0.0919 -0.1241 -0.0984 1 ...
     ..@ uplo : chr "L"
     ..@ diag : chr "N"
    > cm1[1:20, 1:20]
    20 x 20 sparse Matrix of class "dtCMatrix"
    Error in isFALSE(suppRows) : could not find function "isFALSE"
    Calls: <Anonymous> -> <Anonymous> -> printSpMatrix2
    Execution halted
Flavor: r-oldrel-windows-ix86+x86_64

Version: 1.2-16
Check: running examples for arch ‘x64’
Result: ERROR
    Running examples in 'Matrix-Ex.R' failed
    The error most likely occurred in:
    
    > ### Name: Cholesky
    > ### Title: Cholesky Decomposition of a Sparse Matrix
    > ### Aliases: Cholesky Cholesky,dsCMatrix-method
    > ### Cholesky,CsparseMatrix-method Cholesky,sparseMatrix-method
    > ### Cholesky,nsparseMatrix-method Cholesky,Matrix-method
    > ### .SuiteSparse_version
    > ### Keywords: array algebra
    >
    > ### ** Examples
    >
    > data(KNex)
    > mtm <- with(KNex, crossprod(mm))
    > str(mtm@factors) # empty list()
     list()
    > (C1 <- Cholesky(mtm)) # uses show(<MatrixFactorization>)
    'MatrixFactorization' of Formal class 'dCHMsimpl' [package "Matrix"] with 10 slots
     ..@ x : num [1:7451] 1 0.0919 -0.1241 -0.0984 1 ...
     ..@ p : int [1:713] 0 4 8 12 16 24 31 39 46 54 ...
     ..@ i : int [1:7451] 0 692 697 708 1 690 696 707 2 690 ...
     ..@ nz : int [1:712] 4 4 4 4 8 7 8 7 8 7 ...
     ..@ nxt : int [1:714] 1 2 3 4 5 6 7 8 9 10 ...
     ..@ prv : int [1:714] 713 0 1 2 3 4 5 6 7 8 ...
     ..@ colcount: int [1:712] 4 4 4 4 8 7 8 7 8 7 ...
     ..@ perm : int [1:712] 256 243 242 241 213 693 212 692 125 633 ...
     ..@ type : int [1:4] 2 0 0 1
     ..@ Dim : int [1:2] 712 712
    > str(mtm@factors) # 'sPDCholesky' (simpl)
    List of 1
     $ sPDCholesky:Formal class 'dCHMsimpl' [package "Matrix"] with 10 slots
     .. ..@ x : num [1:7451] 1 0.0919 -0.1241 -0.0984 1 ...
     .. ..@ p : int [1:713] 0 4 8 12 16 24 31 39 46 54 ...
     .. ..@ i : int [1:7451] 0 692 697 708 1 690 696 707 2 690 ...
     .. ..@ nz : int [1:712] 4 4 4 4 8 7 8 7 8 7 ...
     .. ..@ nxt : int [1:714] 1 2 3 4 5 6 7 8 9 10 ...
     .. ..@ prv : int [1:714] 713 0 1 2 3 4 5 6 7 8 ...
     .. ..@ colcount: int [1:712] 4 4 4 4 8 7 8 7 8 7 ...
     .. ..@ perm : int [1:712] 256 243 242 241 213 693 212 692 125 633 ...
     .. ..@ type : int [1:4] 2 0 0 1
     .. ..@ Dim : int [1:2] 712 712
    > (Cm <- Cholesky(mtm, super = TRUE))
    'MatrixFactorization' of Formal class 'dCHMsuper' [package "Matrix"] with 9 slots
     ..@ x : num [1:16616] 1 0.0919 -0.1241 -0.0984 1 ...
     ..@ super : int [1:132] 0 1 2 3 4 6 8 10 11 12 ...
     ..@ pi : int [1:132] 0 4 8 12 16 24 32 40 45 50 ...
     ..@ px : int [1:132] 0 4 8 12 16 32 48 64 69 74 ...
     ..@ s : int [1:1713] 0 692 697 708 1 690 696 707 2 690 ...
     ..@ colcount: int [1:712] 4 4 4 4 8 7 8 7 8 7 ...
     ..@ perm : int [1:712] 256 243 242 241 213 693 212 692 125 633 ...
     ..@ type : int [1:6] 2 1 1 1 676 26
     ..@ Dim : int [1:2] 712 712
    > c(C1 = isLDL(C1), Cm = isLDL(Cm))
     C1 Cm
     TRUE FALSE
    > str(mtm@factors) # 'sPDCholesky' *and* 'SPdCholesky'
    List of 2
     $ sPDCholesky:Formal class 'dCHMsimpl' [package "Matrix"] with 10 slots
     .. ..@ x : num [1:7451] 1 0.0919 -0.1241 -0.0984 1 ...
     .. ..@ p : int [1:713] 0 4 8 12 16 24 31 39 46 54 ...
     .. ..@ i : int [1:7451] 0 692 697 708 1 690 696 707 2 690 ...
     .. ..@ nz : int [1:712] 4 4 4 4 8 7 8 7 8 7 ...
     .. ..@ nxt : int [1:714] 1 2 3 4 5 6 7 8 9 10 ...
     .. ..@ prv : int [1:714] 713 0 1 2 3 4 5 6 7 8 ...
     .. ..@ colcount: int [1:712] 4 4 4 4 8 7 8 7 8 7 ...
     .. ..@ perm : int [1:712] 256 243 242 241 213 693 212 692 125 633 ...
     .. ..@ type : int [1:4] 2 0 0 1
     .. ..@ Dim : int [1:2] 712 712
     $ SPdCholesky:Formal class 'dCHMsuper' [package "Matrix"] with 9 slots
     .. ..@ x : num [1:16616] 1 0.0919 -0.1241 -0.0984 1 ...
     .. ..@ super : int [1:132] 0 1 2 3 4 6 8 10 11 12 ...
     .. ..@ pi : int [1:132] 0 4 8 12 16 24 32 40 45 50 ...
     .. ..@ px : int [1:132] 0 4 8 12 16 32 48 64 69 74 ...
     .. ..@ s : int [1:1713] 0 692 697 708 1 690 696 707 2 690 ...
     .. ..@ colcount: int [1:712] 4 4 4 4 8 7 8 7 8 7 ...
     .. ..@ perm : int [1:712] 256 243 242 241 213 693 212 692 125 633 ...
     .. ..@ type : int [1:6] 2 1 1 1 676 26
     .. ..@ Dim : int [1:2] 712 712
    > str(cm1 <- as(C1, "sparseMatrix"))
    Formal class 'dtCMatrix' [package "Matrix"] with 7 slots
     ..@ i : int [1:7451] 0 692 697 708 1 690 696 707 2 690 ...
     ..@ p : int [1:713] 0 4 8 12 16 24 31 39 46 54 ...
     ..@ Dim : int [1:2] 712 712
     ..@ Dimnames:List of 2
     .. ..$ : NULL
     .. ..$ : NULL
     ..@ x : num [1:7451] 1 0.0919 -0.1241 -0.0984 1 ...
     ..@ uplo : chr "L"
     ..@ diag : chr "N"
    > str(cmat <- as(Cm, "sparseMatrix"))# hmm: super is *less* sparse here
    Formal class 'dtCMatrix' [package "Matrix"] with 7 slots
     ..@ i : int [1:12501] 0 692 697 708 1 690 696 707 2 690 ...
     ..@ p : int [1:713] 0 4 8 12 16 24 31 39 46 54 ...
     ..@ Dim : int [1:2] 712 712
     ..@ Dimnames:List of 2
     .. ..$ : NULL
     .. ..$ : NULL
     ..@ x : num [1:12501] 1 0.0919 -0.1241 -0.0984 1 ...
     ..@ uplo : chr "L"
     ..@ diag : chr "N"
    > cm1[1:20, 1:20]
    20 x 20 sparse Matrix of class "dtCMatrix"
    Error in isFALSE(suppRows) : could not find function "isFALSE"
    Calls: <Anonymous> -> <Anonymous> -> printSpMatrix2
    Execution halted
Flavor: r-oldrel-windows-ix86+x86_64

Version: 1.2-16
Check: running tests for arch ‘i386’
Result: ERROR
     Running 'Class+Meth.R' [2s]
    Running the tests in 'tests/Class+Meth.R' failed.
    Complete output:
     > library(Matrix)
     > source(system.file("test-tools.R", package = "Matrix"))# identical3(),
     Loading required package: tools
     > # further checkMatrix(), etc
     > if(interactive()) options(error = recover)
     > options(warn=1)# show as they happen
     > cat("doExtras:",doExtras,"\n")
     doExtras: FALSE
     >
     > no.Mcl <- function(cl) ## TRUE if MatrixClass() returns empty, i
     + identical(Matrix:::MatrixClass(cl), character(0))
     >
     > setClass("myDGC", contains = "dgCMatrix")
     > M <- new("myDGC", as(Matrix(c(-2:4, rep(0,9)), 4), "CsparseMatrix"))
     > M
     4 x 4 sparse Matrix of class "myDGC"
     Error in isFALSE(suppRows) : could not find function "isFALSE"
     Calls: <Anonymous> -> <Anonymous> -> printSpMatrix2
     Execution halted
Flavor: r-oldrel-windows-ix86+x86_64

Version: 1.2-16
Check: running tests for arch ‘x64’
Result: ERROR
     Running 'Class+Meth.R' [3s]
    Running the tests in 'tests/Class+Meth.R' failed.
    Complete output:
     > library(Matrix)
     > source(system.file("test-tools.R", package = "Matrix"))# identical3(),
     Loading required package: tools
     > # further checkMatrix(), etc
     > if(interactive()) options(error = recover)
     > options(warn=1)# show as they happen
     > cat("doExtras:",doExtras,"\n")
     doExtras: FALSE
     >
     > no.Mcl <- function(cl) ## TRUE if MatrixClass() returns empty, i
     + identical(Matrix:::MatrixClass(cl), character(0))
     >
     > setClass("myDGC", contains = "dgCMatrix")
     > M <- new("myDGC", as(Matrix(c(-2:4, rep(0,9)), 4), "CsparseMatrix"))
     > M
     4 x 4 sparse Matrix of class "myDGC"
     Error in isFALSE(suppRows) : could not find function "isFALSE"
     Calls: <Anonymous> -> <Anonymous> -> printSpMatrix2
     Execution halted
Flavor: r-oldrel-windows-ix86+x86_64

Version: 1.2-16
Check: re-building of vignette outputs
Result: WARN
    Error in re-building vignettes:
     ...
    Error: processing vignette 'Design-issues.Rnw' failed with diagnostics:
    could not find function "isFALSE"
    Execution halted
Flavor: r-oldrel-windows-ix86+x86_64

Version: 1.2-16
Check: examples
Result: ERROR
    Running examples in ‘Matrix-Ex.R’ failed
    The error most likely occurred in:
    
    > ### Name: Cholesky
    > ### Title: Cholesky Decomposition of a Sparse Matrix
    > ### Aliases: Cholesky Cholesky,dsCMatrix-method
    > ### Cholesky,CsparseMatrix-method Cholesky,sparseMatrix-method
    > ### Cholesky,nsparseMatrix-method Cholesky,Matrix-method
    > ### .SuiteSparse_version
    > ### Keywords: array algebra
    >
    > ### ** Examples
    >
    > data(KNex)
    > mtm <- with(KNex, crossprod(mm))
    > str(mtm@factors) # empty list()
     list()
    > (C1 <- Cholesky(mtm)) # uses show(<MatrixFactorization>)
    'MatrixFactorization' of Formal class 'dCHMsimpl' [package "Matrix"] with 10 slots
     ..@ x : num [1:7451] 1 0.0919 -0.1241 -0.0984 1 ...
     ..@ p : int [1:713] 0 4 8 12 16 24 31 39 46 54 ...
     ..@ i : int [1:7451] 0 692 697 708 1 690 696 707 2 690 ...
     ..@ nz : int [1:712] 4 4 4 4 8 7 8 7 8 7 ...
     ..@ nxt : int [1:714] 1 2 3 4 5 6 7 8 9 10 ...
     ..@ prv : int [1:714] 713 0 1 2 3 4 5 6 7 8 ...
     ..@ colcount: int [1:712] 4 4 4 4 8 7 8 7 8 7 ...
     ..@ perm : int [1:712] 256 243 242 241 213 693 212 692 125 633 ...
     ..@ type : int [1:4] 2 0 0 1
     ..@ Dim : int [1:2] 712 712
    > str(mtm@factors) # 'sPDCholesky' (simpl)
    List of 1
     $ sPDCholesky:Formal class 'dCHMsimpl' [package "Matrix"] with 10 slots
     .. ..@ x : num [1:7451] 1 0.0919 -0.1241 -0.0984 1 ...
     .. ..@ p : int [1:713] 0 4 8 12 16 24 31 39 46 54 ...
     .. ..@ i : int [1:7451] 0 692 697 708 1 690 696 707 2 690 ...
     .. ..@ nz : int [1:712] 4 4 4 4 8 7 8 7 8 7 ...
     .. ..@ nxt : int [1:714] 1 2 3 4 5 6 7 8 9 10 ...
     .. ..@ prv : int [1:714] 713 0 1 2 3 4 5 6 7 8 ...
     .. ..@ colcount: int [1:712] 4 4 4 4 8 7 8 7 8 7 ...
     .. ..@ perm : int [1:712] 256 243 242 241 213 693 212 692 125 633 ...
     .. ..@ type : int [1:4] 2 0 0 1
     .. ..@ Dim : int [1:2] 712 712
    > (Cm <- Cholesky(mtm, super = TRUE))
    'MatrixFactorization' of Formal class 'dCHMsuper' [package "Matrix"] with 9 slots
     ..@ x : num [1:16616] 1 0.0919 -0.1241 -0.0984 1 ...
     ..@ super : int [1:132] 0 1 2 3 4 6 8 10 11 12 ...
     ..@ pi : int [1:132] 0 4 8 12 16 24 32 40 45 50 ...
     ..@ px : int [1:132] 0 4 8 12 16 32 48 64 69 74 ...
     ..@ s : int [1:1713] 0 692 697 708 1 690 696 707 2 690 ...
     ..@ colcount: int [1:712] 4 4 4 4 8 7 8 7 8 7 ...
     ..@ perm : int [1:712] 256 243 242 241 213 693 212 692 125 633 ...
     ..@ type : int [1:6] 2 1 1 1 676 26
     ..@ Dim : int [1:2] 712 712
    > c(C1 = isLDL(C1), Cm = isLDL(Cm))
     C1 Cm
     TRUE FALSE
    > str(mtm@factors) # 'sPDCholesky' *and* 'SPdCholesky'
    List of 2
     $ sPDCholesky:Formal class 'dCHMsimpl' [package "Matrix"] with 10 slots
     .. ..@ x : num [1:7451] 1 0.0919 -0.1241 -0.0984 1 ...
     .. ..@ p : int [1:713] 0 4 8 12 16 24 31 39 46 54 ...
     .. ..@ i : int [1:7451] 0 692 697 708 1 690 696 707 2 690 ...
     .. ..@ nz : int [1:712] 4 4 4 4 8 7 8 7 8 7 ...
     .. ..@ nxt : int [1:714] 1 2 3 4 5 6 7 8 9 10 ...
     .. ..@ prv : int [1:714] 713 0 1 2 3 4 5 6 7 8 ...
     .. ..@ colcount: int [1:712] 4 4 4 4 8 7 8 7 8 7 ...
     .. ..@ perm : int [1:712] 256 243 242 241 213 693 212 692 125 633 ...
     .. ..@ type : int [1:4] 2 0 0 1
     .. ..@ Dim : int [1:2] 712 712
     $ SPdCholesky:Formal class 'dCHMsuper' [package "Matrix"] with 9 slots
     .. ..@ x : num [1:16616] 1 0.0919 -0.1241 -0.0984 1 ...
     .. ..@ super : int [1:132] 0 1 2 3 4 6 8 10 11 12 ...
     .. ..@ pi : int [1:132] 0 4 8 12 16 24 32 40 45 50 ...
     .. ..@ px : int [1:132] 0 4 8 12 16 32 48 64 69 74 ...
     .. ..@ s : int [1:1713] 0 692 697 708 1 690 696 707 2 690 ...
     .. ..@ colcount: int [1:712] 4 4 4 4 8 7 8 7 8 7 ...
     .. ..@ perm : int [1:712] 256 243 242 241 213 693 212 692 125 633 ...
     .. ..@ type : int [1:6] 2 1 1 1 676 26
     .. ..@ Dim : int [1:2] 712 712
    > str(cm1 <- as(C1, "sparseMatrix"))
    Formal class 'dtCMatrix' [package "Matrix"] with 7 slots
     ..@ i : int [1:7451] 0 692 697 708 1 690 696 707 2 690 ...
     ..@ p : int [1:713] 0 4 8 12 16 24 31 39 46 54 ...
     ..@ Dim : int [1:2] 712 712
     ..@ Dimnames:List of 2
     .. ..$ : NULL
     .. ..$ : NULL
     ..@ x : num [1:7451] 1 0.0919 -0.1241 -0.0984 1 ...
     ..@ uplo : chr "L"
     ..@ diag : chr "N"
    > str(cmat <- as(Cm, "sparseMatrix"))# hmm: super is *less* sparse here
    Formal class 'dtCMatrix' [package "Matrix"] with 7 slots
     ..@ i : int [1:12501] 0 692 697 708 1 690 696 707 2 690 ...
     ..@ p : int [1:713] 0 4 8 12 16 24 31 39 46 54 ...
     ..@ Dim : int [1:2] 712 712
     ..@ Dimnames:List of 2
     .. ..$ : NULL
     .. ..$ : NULL
     ..@ x : num [1:12501] 1 0.0919 -0.1241 -0.0984 1 ...
     ..@ uplo : chr "L"
     ..@ diag : chr "N"
    > cm1[1:20, 1:20]
    20 x 20 sparse Matrix of class "dtCMatrix"
    Error in isFALSE(suppRows) : could not find function "isFALSE"
    Calls: <Anonymous> -> <Anonymous> -> printSpMatrix2
    Execution halted
Flavor: r-oldrel-osx-x86_64

Version: 1.2-16
Check: tests
Result: ERROR
     Running ‘Class+Meth.R’ [2s/2s]
    Running the tests in ‘tests/Class+Meth.R’ failed.
    Last 13 lines of output:
     > if(interactive()) options(error = recover)
     > options(warn=1)# show as they happen
     > cat("doExtras:",doExtras,"\n")
     doExtras: FALSE
     >
     > no.Mcl <- function(cl) ## TRUE if MatrixClass() returns empty, i
     + identical(Matrix:::MatrixClass(cl), character(0))
     >
     > setClass("myDGC", contains = "dgCMatrix")
     > M <- new("myDGC", as(Matrix(c(-2:4, rep(0,9)), 4), "CsparseMatrix"))
     > M
     4 x 4 sparse Matrix of class "myDGC"
     Error in isFALSE(suppRows) : could not find function "isFALSE"
     Calls: <Anonymous> -> <Anonymous> -> printSpMatrix2
     Execution halted
Flavor: r-oldrel-osx-x86_64

Version: 1.2-16
Check: running R code from vignettes
Result: ERROR
    Errors in running code in vignettes:
    when running code in ‘Design-issues.Rnw’
     ...
    
    Known Subclasses: "ddiMatrix", "ldiMatrix"
    
    > (M <- spMatrix(4, 4, i = 1:4, j = c(3:1, 4), x = c(4,
    + 1, 4, 8)))
    4 x 4 sparse Matrix of class "dgTMatrix"
    
     When sourcing ‘Design-issues.R’:
    Error: could not find function "isFALSE"
    Execution halted
    when running code in ‘Intro2Matrix.Rnw’
     ...
    > M2[1:2, 2] <- M2[3, 4:5] <- NA
    
    > sM <- as(M2, "sparseMatrix")
    
    > 10 * sM
    6 x 8 sparse Matrix of class "dgCMatrix"
    
     When sourcing ‘Intro2Matrix.R’:
    Error: could not find function "isFALSE"
    Execution halted
    when running code in ‘sparseModels.Rnw’
     ...
    > levels(f1)[match(c("c", "k"), levels(f1))] <- "ck"
    
    > library(Matrix)
    
    > Matrix(contrasts(f1))
    6 x 5 sparse Matrix of class "dgCMatrix"
    
     When sourcing ‘sparseModels.R’:
    Error: could not find function "isFALSE"
    Execution halted
Flavor: r-oldrel-osx-x86_64

Version: 1.2-16
Check: re-building of vignette outputs
Result: NOTE
    Error in re-building vignettes:
     ...
    Error: processing vignette 'Design-issues.Rnw' failed with diagnostics:
    could not find function "isFALSE"
    Execution halted
Flavor: r-oldrel-osx-x86_64