
R version 4.3.1 Patched (2023-08-08 r84910) -- "Beagle Scouts"
Copyright (C) 2023 The R Foundation for Statistical Computing
Platform: aarch64-apple-darwin22.5.0 (64-bit)

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> #### Testing  cbind() & rbind() -- based on cbind2() & rbind2()
> ##   (where using 'cBind()' and 'rBind()' in  Matrix)
> 
> ## for R_DEFAULT_PACKAGES=NULL :
> library(utils)
> 
> library(Matrix)
> 
> source(system.file("test-tools.R", package = "Matrix"))# identical3() etc
Loading required package: tools
> 
> ### --- Dense Matrices ---
> 
> m1 <- m2 <- m <- matrix(1:12, 3,4)
> dimnames(m2) <- list(LETTERS[1:3],
+                      letters[1:4])
> dimnames(m1) <- list(NULL,letters[1:4])
> M  <- Matrix(m)
> M1 <- Matrix(m1)
> M2 <- Matrix(m2)
> 
> stopifnot(
+     identical3(cbind ( M, 10*M),
+ 		show(cbind2( M, 10*M)),
+ 	      Matrix(cbind ( m, 10*m)))
+    ,
+     identical3(cbind (M1, 100+M1),
+                show(cbind2(M1, 100+M1)),
+                Matrix(cbind (m1, 100+m1)))
+    ,
+     identical3(cbind (M1, 10*M2),
+                show(cbind2(M1, 10*M2)),
+                Matrix(cbind (m1, 10*m2)))
+    ,
+     identical3(cbind (M2, M1+M2),
+                show(cbind2(M2, M1+M2)),
+                Matrix(cbind (m2, m1+m2)))
+    ,
+     identical(colnames(show(cbind(M1, MM = -1))),
+ 	      c(colnames(M1), "MM"))
+    ,
+     identical3(rbind ( M, 10*M),
+ 		show(rbind2( M, 10*M)),
+ 	      Matrix(rbind ( m, 10*m)))
+     ,
+     identical3(rbind (M2, M1+M2),
+ 	       show(rbind2(M2, M1+M2)),
+ 	       Matrix(rbind (m2, m1+m2)))
+    ,
+     Qidentical(show  (rbind(R1 = 10:11, M1)),
+ 	       Matrix(rbind(R1 = 10:11, m1)), strictClass=FALSE)
+   , TRUE)
3 x 8 Matrix of class "dgeMatrix"
     [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8]
[1,]    1    4    7   10   10   40   70  100
[2,]    2    5    8   11   20   50   80  110
[3,]    3    6    9   12   30   60   90  120
3 x 8 Matrix of class "dgeMatrix"
     a b c  d   a   b   c   d
[1,] 1 4 7 10 101 104 107 110
[2,] 2 5 8 11 102 105 108 111
[3,] 3 6 9 12 103 106 109 112
3 x 8 Matrix of class "dgeMatrix"
  a b c  d  a  b  c   d
A 1 4 7 10 10 40 70 100
B 2 5 8 11 20 50 80 110
C 3 6 9 12 30 60 90 120
3 x 8 Matrix of class "dgeMatrix"
  a b c  d a  b  c  d
A 1 4 7 10 2  8 14 20
B 2 5 8 11 4 10 16 22
C 3 6 9 12 6 12 18 24
3 x 5 Matrix of class "dgeMatrix"
     a b c  d MM
[1,] 1 4 7 10 -1
[2,] 2 5 8 11 -1
[3,] 3 6 9 12 -1
6 x 4 Matrix of class "dgeMatrix"
     [,1] [,2] [,3] [,4]
[1,]    1    4    7   10
[2,]    2    5    8   11
[3,]    3    6    9   12
[4,]   10   40   70  100
[5,]   20   50   80  110
[6,]   30   60   90  120
6 x 4 Matrix of class "dgeMatrix"
  a  b  c  d
A 1  4  7 10
B 2  5  8 11
C 3  6  9 12
  2  8 14 20
  4 10 16 22
  6 12 18 24
4 x 4 Matrix of class "dgeMatrix"
    a  b  c  d
R1 10 11 10 11
    1  4  7 10
    2  5  8 11
    3  6  9 12
> 
> identical.or.eq <- function(x,y, tol=0, ...) {
+     if(identical(x,y, ...))
+         TRUE
+     else if(isTRUE(aeq <- all.equal(x,y, tolerance = tol)))
+         structure(TRUE, comment = "not identical")
+     else aeq
+ }
> identicalShow <- function(x,y, ...)
+     if(!isTRUE(id <- identical.or.eq(x, y, ...))) cat(id,"\n")
> 
> ## Checking  deparse.level { <==> example at end of ?cbind }:
> checkRN <- function(dd, B = rbind) {
+     FN <- function(deparse.level)
+         rownames(B(1:4, c=2,"a+"=10, dd, deparse.level=deparse.level))
+     rn <- c("1:4", "c", "a+", "dd",  "")
+     isMatr <- (length(dim(dd)) == 2)
+     id <- if(isMatr) 5 else 4
+     identicalShow(rn[c(5,2:3, 5)], FN(deparse.level= 0)) # middle two names
+     identicalShow(rn[c(5,2:3,id)], FN(deparse.level= 1)) # last shown if vector
+     identicalShow(rn[c(1,2:3,id)], FN(deparse.level= 2)) # first shown; (last if vec.)
+ }
> checkRN(10) # <==> ?cbind's ex
> checkRN(1:4)
> checkRN(       rbind(c(0:1,0,0)))
> checkRN(Matrix(rbind(c(0:1,0,0)))) ## in R <= 3.4.1, from methods:::rbind bug :
> ## Modes: character, NULL Lengths: 4, 0 target is character, current is NULL
> checkRN(10 ,				rbind)
> checkRN(1:4,				rbind)
> checkRN(       rbind(c(0:1,0,0)),  	rbind)
> checkRN(Matrix(rbind(c(0:1,0,0))), 	rbind)
> 
> cbind(0, Matrix(0+0:1, 1,2), 3:2)# FIXME? should warn - as with matrix()
1 x 4 Matrix of class "dgeMatrix"
     [,1] [,2] [,3] [,4]
[1,]    0    0    1    3
Warning message:
In cbind.Matrix(x, y, deparse.level = 0L) :
  number of rows of result is not a multiple of vector length
> as(rbind(0, Matrix(0+0:1, 1,2), 3:2),
+    "sparseMatrix")
3 x 2 sparse Matrix of class "dgCMatrix"
        
[1,] . .
[2,] . 1
[3,] 3 2
> cbind(M2, 10*M2[nrow(M2):1 ,])# keeps the rownames from the first
3 x 8 Matrix of class "dgeMatrix"
  a b c  d  a  b  c   d
A 1 4 7 10 30 60 90 120
B 2 5 8 11 20 50 80 110
C 3 6 9 12 10 40 70 100
> 
> (im <- cbind(I = 100, M))
3 x 5 Matrix of class "dgeMatrix"
       I         
[1,] 100 1 4 7 10
[2,] 100 2 5 8 11
[3,] 100 3 6 9 12
> str(im)
Formal class 'dgeMatrix' [package "Matrix"] with 4 slots
  ..@ Dim     : int [1:2] 3 5
  ..@ Dimnames:List of 2
  .. ..$ : NULL
  .. ..$ : chr [1:5] "I" "" "" "" ...
  ..@ x       : num [1:15] 100 100 100 1 2 3 4 5 6 7 ...
  ..@ factors : list()
> (mi <- cbind(M2, I = 1000))
3 x 5 Matrix of class "dgeMatrix"
  a b c  d    I
A 1 4 7 10 1000
B 2 5 8 11 1000
C 3 6 9 12 1000
> str(mi)
Formal class 'dgeMatrix' [package "Matrix"] with 4 slots
  ..@ Dim     : int [1:2] 3 5
  ..@ Dimnames:List of 2
  .. ..$ : chr [1:3] "A" "B" "C"
  .. ..$ : chr [1:5] "a" "b" "c" "d" ...
  ..@ x       : num [1:15] 1 2 3 4 5 6 7 8 9 10 ...
  ..@ factors : list()
> (m1m <- cbind(M,I=100,M2))
3 x 9 Matrix of class "dgeMatrix"
             I a b c  d
A 1 4 7 10 100 1 4 7 10
B 2 5 8 11 100 2 5 8 11
C 3 6 9 12 100 3 6 9 12
> showProc.time()
Time (user system elapsed): 0.051 0.006 0.056 
> 
> ## lgeMatrix -- rbind2() had bug (in C code):
> is.lge <- function(M) isValid(M, "lgeMatrix")
> stopifnot(exprs = {
+     is.lge(rbind(M2 > 0, M2 < 0)) # had Error in rbind2():
+     ## REAL() can only be applied to a 'numeric', not a 'logical'
+     is.lge(rbind(M2 < 0, M2 > 0)) # ditto
+     is.lge(rbind(Matrix(1:6 %% 3 != 0, 2,3), FALSE))
+     is.lge(L <- rbind(Matrix(TRUE, 2,3), TRUE))
+     all(L)
+     is.lge(rbind(Matrix(TRUE, 2,3), FALSE))
+ })
> 
> ### --- Diagonal / Sparse - had bugs
> 
> D4 <- Diagonal(4)
> (D4T <- as(D4, "TsparseMatrix"))
4 x 4 sparse Matrix of class "dtTMatrix" (unitriangular)
            
[1,] I . . .
[2,] . I . .
[3,] . . I .
[4,] . . . I
> D4C <- as(D4T, "CsparseMatrix")
> c1 <- Matrix(0+0:3, 4, sparse=TRUE) ; r1 <- t(c1); r1
1 x 4 sparse Matrix of class "dgCMatrix"
            
[1,] . 1 2 3
> 
> d4 <- rbind(Diagonal(4), 0:3)
> m4 <- cbind(Diagonal(x=-1:2), 0:3)
> c4. <- cbind(Diagonal(4), c1)
> c.4 <- cbind(c1, Diagonal(4))
> r4. <- rbind(Diagonal(4), r1)
> r.4 <- rbind(r1, Diagonal(4))
> assert.EQ.mat(d4, rbind(diag(4),    0:3))
> assert.EQ.mat(m4, cbind(diag(-1:2), 0:3))
> stopifnot(identical(Matrix(cbind(diag(3),0)), cbind2(Diagonal(3),0)),
+ 	  is(d4, "sparseMatrix"), is(m4, "sparseMatrix"),
+ 	  identical(.tCRT(d4), cbind(Diagonal(4),     0:3)),
+ 	  identical(.tCRT(m4), rbind(Diagonal(x=-1:2), 0:3)))
> showProc.time()
Time (user system elapsed): 0.019 0 0.02 
> 
> ### --- Sparse Matrices ---
> 
> identical4(cbind(diag(4), diag(4)),
+            cbind(D4C, D4C),
+            cbind(D4T, D4C),
+            cbind(D4C, D4T))
[1] FALSE
> nr <- 4
> nc <- 6
> m. <- matrix(rep_len(c(0, 2:-1), nr * nc), nr, nc)
> M <- Matrix(m.)
> (mC <- as(M, "CsparseMatrix"))
4 x 6 sparse Matrix of class "dgCMatrix"
                    
[1,] . -1  .  1  2 .
[2,] 2  . -1  .  1 2
[3,] 1  2  . -1  . 1
[4,] .  1  2  . -1 .
> (mT <- as(M, "TsparseMatrix"))
4 x 6 sparse Matrix of class "dgTMatrix"
                    
[1,] . -1  .  1  2 .
[2,] 2  . -1  .  1 2
[3,] 1  2  . -1  . 1
[4,] .  1  2  . -1 .
> stopifnot(identical(mT, as(mC, "TsparseMatrix")),
+           identical(mC, as(mT, "CsparseMatrix")))
> 
> for(v in list(0, 2, 1:0))
+     for(fnam in c("cbind", "rbind")) {
+         cat(fnam,"(m, v=", deparse(v),"), class(m) :")
+         FUN <- get(fnam)
+         for(m in list(M, mC, mT)) {
+             cat("", class(m),"")
+             assert.EQ.mat(FUN(v, m), FUN(v, m.)) ; cat(",")
+             assert.EQ.mat(FUN(m, v), FUN(m., v)) ; cat(".")
+         }
+         cat("\n")
+     }
cbind (m, v= 0 ), class(m) : dgeMatrix ,. dgCMatrix ,. dgTMatrix ,.
rbind (m, v= 0 ), class(m) : dgeMatrix ,. dgCMatrix ,. dgTMatrix ,.
cbind (m, v= 2 ), class(m) : dgeMatrix ,. dgCMatrix ,. dgTMatrix ,.
rbind (m, v= 2 ), class(m) : dgeMatrix ,. dgCMatrix ,. dgTMatrix ,.
cbind (m, v= 1:0 ), class(m) : dgeMatrix ,. dgCMatrix ,. dgTMatrix ,.
rbind (m, v= 1:0 ), class(m) : dgeMatrix ,. dgCMatrix ,. dgTMatrix ,.
> showProc.time()
Time (user system elapsed): 0.018 0.001 0.019 
> 
> cbind(0, mC); cbind(mC, 0)
4 x 7 sparse Matrix of class "dgCMatrix"
                      
[1,] . . -1  .  1  2 .
[2,] . 2  . -1  .  1 2
[3,] . 1  2  . -1  . 1
[4,] . .  1  2  . -1 .
4 x 7 sparse Matrix of class "dgCMatrix"
                      
[1,] . -1  .  1  2 . .
[2,] 2  . -1  .  1 2 .
[3,] 1  2  . -1  . 1 .
[4,] .  1  2  . -1 . .
> cbind(0, mT); cbind(mT, 2)
4 x 7 sparse Matrix of class "dgTMatrix"
                      
[1,] . . -1  .  1  2 .
[2,] . 2  . -1  .  1 2
[3,] . 1  2  . -1  . 1
[4,] . .  1  2  . -1 .
4 x 7 sparse Matrix of class "dgTMatrix"
                      
[1,] . -1  .  1  2 . 2
[2,] 2  . -1  .  1 2 2
[3,] 1  2  . -1  . 1 2
[4,] .  1  2  . -1 . 2
> cbind(diag(nr), mT)
4 x 10 sparse Matrix of class "dgTMatrix"
                            
[1,] 1 . . . . -1  .  1  2 .
[2,] . 1 . . 2  . -1  .  1 2
[3,] . . 1 . 1  2  . -1  . 1
[4,] . . . 1 .  1  2  . -1 .
> stopifnot(identical(t(cbind(diag(nr),   mT)),
+                       rbind(diag(nr), t(mT))))
> (cc <- cbind(mC, 0,7,0, diag(nr), 0))
4 x 14 sparse Matrix of class "dgCMatrix"
                                    
[1,] . -1  .  1  2 . . 7 . 1 . . . .
[2,] 2  . -1  .  1 2 . 7 . . 1 . . .
[3,] 1  2  . -1  . 1 . 7 . . . 1 . .
[4,] .  1  2  . -1 . . 7 . . . . 1 .
> stopifnot(identical3(cc,
+                      as(cbind(mT, 0, 7, 0, diag(nr), 0), "CsparseMatrix"),
+                      as(cbind( M, 0, 7, 0, diag(nr), 0), "CsparseMatrix")))
> 
> cbind(mC, 1, 100*mC, 0, 0:2)
4 x 15 sparse Matrix of class "dgCMatrix"
                                                      
[1,] . -1  .  1  2 . 1   . -100    .  100  200   . . .
[2,] 2  . -1  .  1 2 1 200    . -100    .  100 200 . 1
[3,] 1  2  . -1  . 1 1 100  200    . -100    . 100 . 2
[4,] .  1  2  . -1 . 1   .  100  200    . -100   . . .
> cbind(mT, 1, 0, mT+10*mT, 0, 0:2)
4 x 16 sparse Matrix of class "dgCMatrix"
                                                  
[1,] . -1  .  1  2 . 1 .  . -11   .  11  22  . . .
[2,] 2  . -1  .  1 2 1 . 22   . -11   .  11 22 . 1
[3,] 1  2  . -1  . 1 1 . 11  22   . -11   . 11 . 2
[4,] .  1  2  . -1 . 1 .  .  11  22   . -11  . . .
> one <- 1
> zero <- 0
> dimnames(mC) <- dimnames(mT) <- list(LETTERS[1:4], letters[1:6])
> op <- options(sparse.colnames = TRUE)# show colnames in print :
> cbind(mC, one, 100*mC, zero, 0:2)
4 x 15 sparse Matrix of class "dgCMatrix"
  a  b  c  d  e f one   a    b    c    d    e   f zero  
A . -1  .  1  2 .   1   . -100    .  100  200   .    . .
B 2  . -1  .  1 2   1 200    . -100    .  100 200    . 1
C 1  2  . -1  . 1   1 100  200    . -100    . 100    . 2
D .  1  2  . -1 .   1   .  100  200    . -100   .    . .
> cbind(mC, one, 100*mC, zero, 0:2, deparse.level=0)# no "zero", "one"
4 x 15 sparse Matrix of class "dgCMatrix"
  a  b  c  d  e f     a    b    c    d    e   f    
A . -1  .  1  2 . 1   . -100    .  100  200   . . .
B 2  . -1  .  1 2 1 200    . -100    .  100 200 . 1
C 1  2  . -1  . 1 1 100  200    . -100    . 100 . 2
D .  1  2  . -1 . 1   .  100  200    . -100   . . .
> cbind(mC, one, 100*mC, zero, 0:2, deparse.level=2)# even "0:2"
4 x 15 sparse Matrix of class "dgCMatrix"
  a  b  c  d  e f one   a    b    c    d    e   f zero 0:2
A . -1  .  1  2 .   1   . -100    .  100  200   .    .   .
B 2  . -1  .  1 2   1 200    . -100    .  100 200    .   1
C 1  2  . -1  . 1   1 100  200    . -100    . 100    .   2
D .  1  2  . -1 .   1   .  100  200    . -100   .    .   .
> cbind(mT, one, zero, mT+10*mT, zero, 0:2)
4 x 16 sparse Matrix of class "dgCMatrix"
  a  b  c  d  e f one zero  a   b   c   d   e  f zero  
A . -1  .  1  2 .   1    .  . -11   .  11  22  .    . .
B 2  . -1  .  1 2   1    . 22   . -11   .  11 22    . 1
C 1  2  . -1  . 1   1    . 11  22   . -11   . 11    . 2
D .  1  2  . -1 .   1    .  .  11  22   . -11  .    . .
> 
> 
> ## logical (sparse) - should remain logical :
> L5 <- Diagonal(n = 5, x = TRUE)
> v5 <- rep(x = c(FALSE,TRUE), length.out = ncol(L5))
> stopifnot(is(show(rbind(L5,v5)), "lsparseMatrix"),
+ 	  is(show(cbind(v5,L5)), "lsparseMatrix"),
+ 	  is(rbind(L5, 2* v5), "dsparseMatrix"),
+ 	  is(cbind(2* v5, L5), "dsparseMatrix"))
6 x 5 sparse Matrix of class "lgRMatrix"
   [,1] [,2] [,3] [,4] [,5]
      |    .    .    .    .
      .    |    .    .    .
      .    .    |    .    .
      .    .    .    |    .
      .    .    .    .    |
v5    .    |    .    |    .
5 x 6 sparse Matrix of class "lgCMatrix"
     v5          
[1,]  . | . . . .
[2,]  | . | . . .
[3,]  . . . | . .
[4,]  | . . . | .
[5,]  . . . . . |
> 
> ## print() / show() of  non-structural zeros:
> (m <- Matrix(c(0, 0, 2:0), 3, 5))
3 x 5 sparse Matrix of class "dgCMatrix"
     [,1] [,2] [,3] [,4] [,5]
[1,]    .    1    .    .    2
[2,]    .    .    2    .    1
[3,]    2    .    1    .    .
> (m2 <- cbind(m,m))
3 x 10 sparse Matrix of class "dgCMatrix"
     [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10]
[1,]    .    1    .    .    2    .    1    .    .     2
[2,]    .    .    2    .    1    .    .    2    .     1
[3,]    2    .    1    .    .    2    .    1    .     .
> (m4 <- rbind(m2,m2))
6 x 10 sparse Matrix of class "dgCMatrix"
     [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10]
[1,]    .    1    .    .    2    .    1    .    .     2
[2,]    .    .    2    .    1    .    .    2    .     1
[3,]    2    .    1    .    .    2    .    1    .     .
[4,]    .    1    .    .    2    .    1    .    .     2
[5,]    .    .    2    .    1    .    .    2    .     1
[6,]    2    .    1    .    .    2    .    1    .     .
> diag(m4)
[1] 0 0 1 0 1 2
> for(i in 1:6) {
+     m4[i, i ] <- i
+     m4[i,i+1] <- 0
+ }
> m4 ## now show some non-structural zeros:
6 x 10 sparse Matrix of class "dgCMatrix"
     [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10]
[1,]    1    .    .    .    2    .    1    .    .     2
[2,]    .    2    .    .    1    .    .    2    .     1
[3,]    2    .    3    .    .    2    .    1    .     .
[4,]    .    1    .    4    .    .    1    .    .     2
[5,]    .    .    2    .    5    .    .    2    .     1
[6,]    2    .    1    .    .    6    .    1    .     .
> 
> ## Mixture of dense and sparse/diagonal -- used to fail, even in 1.0-0
> D5 <- Diagonal(x = 10*(1:5))
> (D5.1 <- cbind2(D5, 1))
5 x 6 sparse Matrix of class "dgCMatrix"
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]   10    .    .    .    .    1
[2,]    .   20    .    .    .    1
[3,]    .    .   30    .    .    1
[4,]    .    .    .   40    .    1
[5,]    .    .    .    .   50    1
> ## "FIXME" in newer versions of R, do not need Matrix() here:
> s42 <- Matrix(z42 <- cbind2(rep(0:1,4), rep(1:0,4)),
+               sparse=TRUE)
> (C86 <- rbind(1, 0, D5.1, 0))
8 x 6 sparse Matrix of class "dgCMatrix"
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    1    1    1    1    1    1
[2,]    .    .    .    .    .    .
[3,]   10    .    .    .    .    1
[4,]    .   20    .    .    .    1
[5,]    .    .   30    .    .    1
[6,]    .    .    .   40    .    1
[7,]    .    .    .    .   50    1
[8,]    .    .    .    .    .    .
> stopifnotValid(D5.1, "dgCMatrix")
> stopifnotValid(print(rbind2(Matrix(1:10, 2,5), D5)),   "dgRMatrix")
7 x 5 sparse Matrix of class "dgRMatrix"
     [,1] [,2] [,3] [,4] [,5]
[1,]    1    3    5    7    9
[2,]    2    4    6    8   10
[3,]   10    .    .    .    .
[4,]    .   20    .    .    .
[5,]    .    .   30    .    .
[6,]    .    .    .   40    .
[7,]    .    .    .    .   50
> stopifnotValid(print(cbind2(Matrix(10:1, 5,2), D5.1)), "dgCMatrix")
5 x 8 sparse Matrix of class "dgCMatrix"
     [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8]
[1,]   10    5   10    .    .    .    .    1
[2,]    9    4    .   20    .    .    .    1
[3,]    8    3    .    .   30    .    .    1
[4,]    7    2    .    .    .   40    .    1
[5,]    6    1    .    .    .    .   50    1
> stopifnotValid(zz <- cbind2(z42, C86), "dgCMatrix")
> stopifnot(identical(zz, cbind2(s42, C86)))
> 
> ## Using "nMatrix"
> (m1 <- sparseMatrix(1:3, 1:3)) # ngCMatrix
3 x 3 sparse Matrix of class "ngCMatrix"
     [,1] [,2] [,3]
[1,]    |    .    .
[2,]    .    |    .
[3,]    .    .    |
> m2 <- sparseMatrix(1:3, 1:3, x = 1:3)
> stopifnotValid(c12 <- cbind(m1,m2), "dgCMatrix") # was "ngC.." because of cholmod_horzcat !
> stopifnotValid(c21 <- cbind(m2,m1), "dgCMatrix") #  ditto
> stopifnotValid(r12 <- rbind(m1,m2), "dgCMatrix") # was "ngC.." because of cholmod_vertcat !
> stopifnotValid(r21 <- rbind(m2,m1), "dgCMatrix") #  ditto
> d1 <- as(m1, "denseMatrix")
> d2 <- as(m2, "denseMatrix")
> stopifnotValid(cbind2(d2,d1), "dgeMatrix")
> stopifnotValid(cbind2(d1,d2), "dgeMatrix")## gave an error in Matrix 1.1-5
> stopifnotValid(rbind2(d2,d1), "dgeMatrix")
> stopifnotValid(rbind2(d1,d2), "dgeMatrix")## gave an error in Matrix 1.1-5
> 
> ## rbind2() / cbind2() mixing sparse/dense: used to "fail",
> ## ------------------- then (in 'devel', ~ 2015-03): completely wrong
> S <- .sparseDiagonal(2)
> s <- diag(2)
> S9 <- rbind(S,0,0,S,0,NaN,0,0,0,2)## r/cbind2() failed to determine 'sparse' in Matrix <= 1.2-2
> s9 <- rbind(s,0,0,s,0,NaN,0,0,0,2)
> assert.EQ.mat(S9, s9)
> D <- Matrix(1:6, 3,2); d <- as(D, "matrix")
> T9 <- t(S9); t9 <- t(s9); T <- t(D); t <- t(d)
> stopifnot(identical(rbind (s9,d), rbind2(s9,d)),
+ 	  identical(rbind2(D,S9), t(cbind2(T,T9))),
+ 	  identical(rbind2(S9,D), t(cbind2(T9,T))))
> assert.EQ.mat(rbind2(S9,D), rbind2(s9,d))
> assert.EQ.mat(rbind2(D,S9), rbind2(d,s9))
> ## now with cbind2() -- no problem!
> stopifnot(identical(cbind (t9,t), cbind2(t9,t)))
> assert.EQ.mat(cbind2(T9,T), cbind2(t9,t))
> assert.EQ.mat(cbind2(T,T9), cbind2(t,t9))
> 
> 
> 
> options(op)
> showProc.time()
Time (user system elapsed): 0.06 0.003 0.063 
> 
> proc.time()
   user  system elapsed 
  0.609   0.039   0.646 
