# SCM Repository

[matrix] Annotation of /pkg/tests/indexing.R
 [matrix] / pkg / tests / indexing.R

# Annotation of /pkg/tests/indexing.R

 1 : maechler 1710 ## For both 'Extract' ("[") and 'Replace' ("[<-") Method testing 2 : maechler 687 3 : library(Matrix) 4 : 5 : maechler 907 source(system.file("test-tools.R", package = "Matrix"))# identical3() etc 6 : maechler 687 7 : maechler 873 ### Dense Matrices 8 : 9 : maechler 1673 m <- Matrix(1:28 +0, nrow = 7) 10 : validObject(m) 11 : maechler 873 stopifnot(identical(m, m[]), 12 : identical(m[2, 3], 16), # simple number 13 : identical(m[2, 3:4], c(16,23))) # simple numeric of length 2 14 : maechler 687 15 : maechler 873 m[2, 3:4, drop=FALSE] # sub matrix of class 'dgeMatrix' 16 : m[-(4:7), 3:4] # dito; the upper right corner of 'm' 17 : maechler 687 18 : maechler 873 ## rows or columns only: 19 : m[1,] # first row, as simple numeric vector 20 : m[,2] # 2nd column 21 : m[,1:2] # sub matrix of first two columns 22 : m[-(1:6),, drop=FALSE] # not the first 6 rows, i.e. only the 7th 23 : maechler 1331 m[integer(0),] #-> 0 x 4 Matrix 24 : m[2:4, numeric(0)] #-> 3 x 0 Matrix 25 : maechler 687 26 : maechler 873 ## logical indexing 27 : stopifnot(identical(m[2,3], m[(1:nrow(m)) == 2, (1:ncol(m)) == 3]), 28 : identical(m[2,], m[(1:nrow(m)) == 2, ]), 29 : identical(m[,3:4], m[, (1:4) >= 3])) 30 : 31 : maechler 886 ## dimnames indexing: 32 : mn <- m 33 : dimnames(mn) <- list(paste("r",letters[1:nrow(mn)],sep=""), 34 : LETTERS[1:ncol(mn)]) 35 : mn["rd", "D"] 36 : maechler 1226 stopifnot(identical(mn["rc", "D"], mn[3,4]), mn[3,4] == 24, 37 : identical(mn[, "A"], mn[,1]), mn[,1] == 1:7, 38 : maechler 886 identical(mn[c("re", "rb"), "B"], mn[c(5,2), 2]) 39 : ) 40 : maechler 873 41 : maechler 886 mo <- m 42 : m[2,3] <- 100 43 : m[1:2, 4] <- 200 44 : m[, 1] <- -1 45 : m[1:3,] 46 : 47 : maechler 1673 m. <- as.matrix(m) 48 : 49 : ## m[ cbind(i,j) ] indexing: 50 : ij <- cbind(1:6, 2:3) 51 : stopifnot(identical(m[ij], m.[ij])) 52 : 53 : maechler 1599 ## testing operations on logical Matrices rather more than indexing: 54 : maechler 1226 g10 <- m [ m > 10 ] 55 : stopifnot(18 == length(g10)) 56 : maechler 1362 stopifnot(10 == length(m[ m <= 10 ])) 57 : maechler 1599 sel <- (20 < m) & (m < 150) 58 : maechler 1655 sel.<- (20 < m.)& (m.< 150) 59 : maechler 1599 nsel <-(20 >= m) | (m >= 150) 60 : maechler 1575 (ssel <- as(sel, "sparseMatrix")) 61 : stopifnot(is(sel, "lMatrix"), is(ssel, "lsparseMatrix"), 62 : maechler 1655 identical3(as.mat(sel.), as.mat(sel), as.mat(ssel)), 63 : identical3(!sel, !ssel, nsel), # ! is typically dense 64 : maechler 1599 identical3(m[ sel], m[ ssel], as.matrix(m)[as.matrix( ssel)]), 65 : identical3(m[!sel], m[!ssel], as.matrix(m)[as.matrix(!ssel)]) 66 : maechler 1575 ) 67 : maechler 873 68 : maechler 1575 ## more sparse Matrices -------------------------------------- 69 : maechler 873 70 : maechler 687 m <- 1:800 71 : set.seed(101) ; m[sample(800, 600)] <- 0 72 : m <- Matrix(m, nrow = 40) 73 : mm <- as(m, "matrix") 74 : dimnames(mm) <- NULL ## << workaround: as(, "matrix") has NULL dimnames 75 : str(mC <- as(m, "dgCMatrix")) 76 : str(mT <- as(m, "dgTMatrix")) 77 : stopifnot(identical(mT, as(mC, "dgTMatrix")), 78 : identical(mC, as(mT, "dgCMatrix"))) 79 : 80 : mC[,1] 81 : mC[1:2,] 82 : maechler 925 mC[7, drop = FALSE] 83 : maechler 1226 assert.EQ.mat(mC[1:2,], mm[1:2,]) 84 : maechler 1799 85 : maechler 1833 ## *repeated* (aka 'duplicated') indices - did not work at all ... 86 : maechler 1799 i <- rep(8:10,2) 87 : j <- c(2:4, 4:3) 88 : assert.EQ.mat(mC[i,], mm[i,]) 89 : assert.EQ.mat(mC[,j], mm[,j]) 90 : maechler 1829 assert.EQ.mat(mC[i, 2:1], mm[i, 2:1]) 91 : maechler 1833 assert.EQ.mat(mC[c(4,1,2:1), j], mm[c(4,1,2:1), j]) 92 : maechler 1829 assert.EQ.mat(mC[i,j], mm[i,j]) 93 : set.seed(7) 94 : for(n in 1:50) { 95 : i <- sample(sample(nrow(mC), 7), 20, replace = TRUE) 96 : j <- sample(sample(ncol(mC), 6), 17, replace = TRUE) 97 : assert.EQ.mat(mC[i,j], mm[i,j]) 98 : } 99 : maechler 1834 100 : ##---- Symmetric indexing of symmetric Matrix ---------- 101 : maechler 1835 m. <- mC; m.[, c(2, 7:12)] <- 0 102 : maechler 1833 validObject(S <- crossprod(add.simpleDimnames(m.) %% 100)) 103 : maechler 1829 ss <- as(S, "matrix") 104 : T <- as(S, "TsparseMatrix") 105 : maechler 1833 ## non-repeated indices: 106 : maechler 1829 i <- c(7:5, 2:4);assert.EQ.mat(T[i,i], ss[i,i]) 107 : maechler 1833 N <- nrow(T) 108 : set.seed(11) 109 : for(n in 1:50) { 110 : i <- sample(N, max(2, sample(N,1)), replace = FALSE) 111 : validObject(Tii <- T[i,i]) 112 : stopifnot(is(Tii, "dsTMatrix"), # remained symmetric Tsparse 113 : identical(t(Tii), t(T)[i,i])) 114 : assert.EQ.mat(Tii, ss[i,i]) 115 : } 116 : 117 : maechler 1834 ## repeated ones ``the challenge'' (to do smartly): 118 : maechler 1833 j <- c(4, 4, 9, 12, 9, 4, 17, 3, 18, 4, 12, 18, 4, 9) 119 : maechler 1829 assert.EQ.mat(T[j,j], ss[j,j]) 120 : maechler 1834 ## and another two sets (a, A) & (a., A.) : 121 : a <- matrix(0, 6,6) 122 : a[upper.tri(a)] <- (utr <- c(2, 0,-1, 0,0,5, 7,0,0,0, 0,0,-2,0,8)) 123 : ta <- t(a); ta[upper.tri(a)] <- utr; a <- t(ta) 124 : diag(a) <- c(0,3,0,4,6,0) 125 : A <- as(Matrix(a), "TsparseMatrix") 126 : A. <- A 127 : diag(A.) <- 10 * (1:6) 128 : a. <- as(A., "matrix") 129 : ## More testing {this was not working for a long time..} 130 : set.seed(1) 131 : for(n in 1:100) { 132 : i <- sample(1:nrow(A), 3+2*rpois(1, lam=3), replace=TRUE) 133 : Aii <- A[i,i] 134 : A.ii <- A.[i,i] 135 : stopifnot(class(Aii) == class(A), 136 : class(A.ii) == class(A.)) 137 : assert.EQ.mat(Aii , a [i,i]) 138 : assert.EQ.mat(A.ii, a.[i,i]) 139 : assert.EQ.mat(T[i,i], ss[i,i]) 140 : } 141 : maechler 1799 142 : maechler 1829 143 : maechler 1673 stopifnot(all.equal(mC[,3], mm[,3]), 144 : identical(mC[ij], mm[ij])) 145 : maechler 1226 assert.EQ.mat(mC[7, , drop=FALSE], mm[7, , drop=FALSE]) 146 : 147 : maechler 1331 stopifnot(dim(mC[numeric(0), ]) == c(0,20), # used to give warnings 148 : dim(mC[, integer(0)]) == c(40,0), 149 : identical(mC[, integer(0)], mC[, FALSE]), 150 : identical(mC[7, drop = FALSE], 151 : maechler 925 mC[7,, drop = FALSE])) 152 : maechler 1269 validObject(print(mT[,c(2,4)])) 153 : stopifnot(all.equal(mT[2,], mm[2,]), 154 : ## row or column indexing in combination with t() : 155 : identical(mT[2,], t(mT)[,2]), 156 : identical(mT[-2,], t(t(mT)[,-2])), 157 : identical(mT[c(2,5),], t(t(mT)[,c(2,5)])) 158 : ) 159 : maechler 1226 assert.EQ.mat(mT[4,, drop = FALSE], mm[4,, drop = FALSE]) 160 : maechler 687 stopifnot(identical3(mm[,1], mC[,1], mT[,1]), 161 : identical3(mm[3,], mC[3,], mT[3,]), 162 : identical3(mT[2,3], mC[2,3], 0), 163 : identical(mT[], mT), 164 : maechler 1665 identical4( mm[c(3,7), 2:4], as.mat( m[c(3,7), 2:4]), 165 : as.mat(mT[c(3,7), 2:4]), as.mat(mC[c(3,7), 2:4])) 166 : bates 1367 ) 167 : maechler 687 168 : maechler 1331 x.x <- crossprod(mC) 169 : stopifnot(class(x.x) == "dsCMatrix", 170 : maechler 1673 class(x.x. <- round(x.x / 10000)) == "dsCMatrix", 171 : identical(x.x[cbind(2:6, 2:6)], 172 : diag(x.x [2:6, 2:6]))) 173 : maechler 1331 head(x.x.) # Note the *non*-structural 0's printed as "0" 174 : maechler 1575 tail(x.x., -3) # all but the first three lines 175 : maechler 1331 176 : lx.x <- as(x.x, "lsCMatrix") # FALSE only for "structural" 0 177 : maechler 1665 (l10 <- lx.x[1:10, 1:10])# "lsC" 178 : (l3 <- lx.x[1:3, ]) 179 : m.x <- as(x.x, "matrix") 180 : stopifnot(class(l10) == "lsCMatrix", # symmetric indexing -> symmetric ! 181 : identical(as.mat(lx.x), m.x != 0), 182 : identical(as.logical(lx.x), as.logical(m.x)), 183 : identical(as.mat(l10), m.x[1:10, 1:10] != 0), 184 : identical(as.mat(l3 ), m.x[1:3, ] != 0) 185 : ) 186 : maechler 1331 187 : maechler 1833 ##-- Sub*assignment* with repeated / duplicated index: 188 : A <- Matrix(0,4,3) ; A[c(1,2,1), 2] <- 1 ; A 189 : B <- A; B[c(1,2,1), 2] <- 1:3; B 190 : stopifnot(identical(unname(as.matrix(A)), 191 : local({a <- matrix(0,4,3); a[c(1,2,1), 2] <- 1 ; a})), 192 : identical(unname(as.matrix(B)), 193 : local({a <- matrix(0,4,3); a[c(1,2,1), 2] <- 1:3; a}))) 194 : 195 : 196 : maechler 1705 ## used to fail 197 : n <- 5 ## or much larger 198 : sm <- new("dsTMatrix", i=as.integer(1),j=as.integer(1), 199 : Dim=as.integer(c(n,n)), x = 1) 200 : (cm <- as(sm, "CsparseMatrix")) 201 : sm[2,] 202 : stopifnot(sm[2,] == c(0:1, rep.int(0,ncol(sm)-2)), 203 : sm[2,] == cm[2,], 204 : sm[,3] == sm[3,], 205 : all(sm[,-(1:3)] == t(sm[-(1:3),])), # all() 206 : all(sm[,-(1:3)] == 0) 207 : ) 208 : maechler 1665 209 : maechler 1710 ### Diagonal -- Sparse: 210 : m0 <- Diagonal(5) 211 : (m1 <- as(m0, "sparseMatrix")) # dtTMatrix 212 : (m2 <- as(m0, "CsparseMatrix")) # dtCMatrix (with an irrelevant warning) 213 : maechler 1799 m1g <- as(m1, "generalMatrix") 214 : stopifnot(is(m1g, "dgTMatrix")) 215 : assert.EQ.mat(m2[1:3,], diag(5)[1:3,]) 216 : assert.EQ.mat(m2[,c(4,1)], diag(5)[,c(4,1)]) 217 : stopifnot(identical(m2[1:3,], as(m1[1:3,], "CsparseMatrix")), 218 : identical(Matrix:::uniqTsparse(m1[, c(4,2)]), 219 : Matrix:::uniqTsparse(as(m2[, c(4,2)], "TsparseMatrix"))) 220 : )## failed in 0.9975-11 221 : maechler 1705 222 : maechler 1710 M <- m0; M[1,] <- 0 223 : stopifnot(identical(M, Diagonal(x=c(0, rep(1,4))))) 224 : M <- m0; M[,3] <- 3 ; M ; stopifnot(is(M, "sparseMatrix"), M[,3] == 3) 225 : validObject(M) 226 : M <- m0; M[1:3, 3] <- 0 ;M 227 : T <- m0; T[1:3, 3] <- 10 228 : stopifnot(identical(M, Diagonal(x=c(1,1, 0, 1,1))), 229 : is(T, "triangularMatrix"), identical(T[,3], c(10,10,10,0,0))) 230 : 231 : M <- m1; M[1,] <- 0 ; M ; assert.EQ.mat(M, diag(c(0,rep(1,4))), tol=0) 232 : M <- m1; M[,3] <- 3 ; stopifnot(is(M,"sparseMatrix"), M[,3] == 3) 233 : validObject(M) 234 : M <- m1; M[1:3, 3] <- 0 ;M 235 : assert.EQ.mat(M, diag(c(1,1, 0, 1,1)), tol=0) 236 : T <- m1; T[1:3, 3] <- 10; validObject(T) 237 : stopifnot(is(T, "dtTMatrix"), identical(T[,3], c(10,10,10,0,0))) 238 : 239 : M <- m2; M[1,] <- 0 ; M ; assert.EQ.mat(M, diag(c(0,rep(1,4))), tol=0) 240 : M <- m2; M[,3] <- 3 ; stopifnot(is(M,"sparseMatrix"), M[,3] == 3) 241 : validObject(M) 242 : M <- m2; M[1:3, 3] <- 0 ;M 243 : assert.EQ.mat(M, diag(c(1,1, 0, 1,1)), tol=0) 244 : T <- m2; T[1:3, 3] <- 10; validObject(T) 245 : stopifnot(is(T, "dtCMatrix"), identical(T[,3], c(10,10,10,0,0))) 246 : 247 : 248 : maechler 925 ## --- negative indices ---------- 249 : mc <- mC[1:5, 1:7] 250 : mt <- mT[1:5, 1:7] 251 : ## sub matrix 252 : maechler 1226 assert.EQ.mat(mC[1:2, 0:3], mm[1:2, 0:3]) # test 0-index 253 : maechler 925 stopifnot(identical(mc[-(3:5), 0:2], mC[1:2, 0:2]), 254 : maechler 1226 identical(mt[-(3:5), 0:2], mT[1:2, 0:2]), 255 : identical(mC[2:3, 4], mm[2:3, 4])) 256 : assert.EQ.mat(mC[1:2,], mm[1:2,]) 257 : maechler 925 ## sub vector 258 : stopifnot(identical4(mc[-(1:4), ], mC[5, 1:7], 259 : mt[-(1:4), ], mT[5, 1:7])) 260 : stopifnot(identical4(mc[-(1:4), -(2:4)], mC[5, c(1,5:7)], 261 : mt[-(1:4), -(2:4)], mT[5, c(1,5:7)])) 262 : 263 : ## mixing of negative and positive must give error 264 : assertError(mT[-1:1,]) 265 : 266 : maechler 1226 ## Sub *Assignment* ---- now works (partially): 267 : mt0 <- mt 268 : mt[1, 4] <- -99 269 : mt[2:3, 1:6] <- 0 270 : mt 271 : m2 <- mt+mt 272 : m2[1,4] <- -200 273 : m2[c(1,3), c(5:6,2)] <- 1:6 274 : stopifnot(m2[1,4] == -200, 275 : as.vector(m2[c(1,3), c(5:6,2)]) == 1:6) 276 : mt[,3] <- 30 277 : mt[2:3,] <- 250 278 : mt[1:5 %% 2 == 1, 3] <- 0 279 : mt[3:1, 1:7 > 5] <- 0 280 : mt 281 : maechler 1215 282 : maechler 1226 tt <- as(mt,"matrix") 283 : ii <- c(0,2,5) 284 : jj <- c(2:3,5) 285 : tt[ii, jj] <- 1:6 # 0 is just "dropped" 286 : mt[ii, jj] <- 1:6 287 : assert.EQ.mat(mt, tt) 288 : maechler 1215 289 : maechler 1226 mt[1:5, 2:6] 290 : as((mt0 - mt)[1:5,], "dsparseMatrix")# [1,5] and lines 2:3 291 : 292 : maechler 1315 mt[c(2,4), ] <- 0; stopifnot(as(mt[c(2,4), ],"matrix") == 0) 293 : maechler 1226 mt[2:3, 4:7] <- 33 294 : validObject(mt) 295 : mt 296 : 297 : maechler 1315 mc[1,4] <- -99 ; stopifnot(mc[1,4] == -99) 298 : mc[1,4] <- 00 ; stopifnot(mc[1,4] == 00) 299 : mc[1,4] <- -99 ; stopifnot(mc[1,4] == -99) 300 : mc[1:2,4:3] <- 4:1; stopifnot(as.matrix(mc[1:2,4:3]) == 4:1) 301 : 302 : maechler 1226 mc[-1, 3] <- -2:1 # 0 should not be entered; 'value' recycled 303 : mt[-1, 3] <- -2:1 304 : maechler 1315 stopifnot(mc@x != 0, mt@x != 0, 305 : maechler 1707 mc[-1,3] == -2:1, mt[-1,3] == -2:1) ## failed earlier 306 : maechler 1315 307 : maechler 1707 mc0 <- mc 308 : maechler 1724 mt0 <- as(mc0, "TsparseMatrix") 309 : m0 <- as(mc0, "matrix") 310 : maechler 1707 set.seed(1) 311 : maechler 1724 for(i in 1:50) { 312 : mc <- mc0; mt <- mt0 ; m <- m0 313 : maechler 1707 ev <- 1:5 %% 2 == round(runif(1))# 0 or 1 314 : j <- sample(ncol(mc), 1 + round(runif(1))) 315 : nv <- rpois(sum(ev) * length(j), lambda = 1) 316 : mc[ev, j] <- nv 317 : maechler 1724 m[ev, j] <- nv 318 : mt[ev, j] <- nv 319 : if(i %% 10 == 1) print(mc[ev,j, drop = FALSE]) 320 : stopifnot(as.vector(mc[ev, j]) == nv, ## failed earlier... 321 : as.vector(mt[ev, j]) == nv) 322 : validObject(mc) ; assert.EQ.mat(mc, m) 323 : validObject(mt) ; assert.EQ.mat(mt, m) 324 : maechler 1707 } 325 : 326 : mc # no longer has non-structural zeros 327 : maechler 1226 mc[ii, jj] <- 1:6 328 : mc[c(2,5), c(3,5)] <- 3.2 329 : validObject(mc) 330 : maechler 1600 m. <- mc 331 : mc[4,] <- 0 332 : mc 333 : maechler 1226 334 : maechler 1331 H <- Hilbert(9) 335 : maechler 1374 Hc <- as(round(H, 3), "dsCMatrix")# a sparse matrix with no 0 ... 336 : (trH <- tril(Hc[1:5, 1:5])) 337 : stopifnot(is(trH, "triangularMatrix"), trH@uplo == "L") 338 : maechler 1331 339 : maechler 1374 i <- c(1:2, 4, 6:7); j <- c(2:4,6) 340 : H[i,j] <- 0 341 : maechler 1331 (H. <- round(as(H, "sparseMatrix"), 3)[ , 2:7]) 342 : Hc. <- Hc 343 : maechler 1374 Hc.[i,j] <- 0 ## now "works", but setting "non-structural" 0s 344 : stopifnot(as.matrix(Hc.[i,j]) == 0) 345 : maechler 1331 Hc.[, 1:6] 346 : 347 : maechler 1724 ## an example that failed for a long time 348 : maechler 1673 sy3 <- new("dsyMatrix", Dim = as.integer(c(2, 2)), x = c(14, -1, 2, -7)) 349 : maechler 1825 validObject(dm <- kronecker(Diagonal(2), sy3))# now sparse with new kronecker 350 : dm <- Matrix(as.matrix(dm))# -> "dsyMatrix" 351 : maechler 1673 (s2 <- as(dm, "sparseMatrix")) 352 : validObject(st <- as(s2, "TsparseMatrix")) 353 : maechler 1725 stopifnot(is(s2, "symmetricMatrix"), 354 : is(st, "symmetricMatrix")) 355 : maechler 1673 validObject(s.32 <- st[1:3,1:2]) ## 3 x 2 - and *not* dsTMatrix 356 : validObject(s2.32 <- s2[1:3,1:2]) 357 : I <- c(1,4:3) 358 : stopifnot(is(s2.32, "generalMatrix"), 359 : is(s.32, "generalMatrix"), 360 : identical(as.mat(s.32), as.mat(s2.32)), 361 : identical3(dm[1:3,-1], asD(s2[1:3,-1]), asD(st[1:3,-1])), 362 : identical4(2, dm[4,3], s2[4,3], st[4,3]), 363 : identical3(diag(dm), diag(s2), diag(st)), 364 : is((cI <- s2[I,I]), "dsCMatrix"), 365 : is((tI <- st[I,I]), "dsTMatrix"), 366 : identical4(as.mat(dm)[I,I], as.mat(dm[I,I]), as.mat(tI), as.mat(cI)) 367 : ) 368 : 369 : ## now sub-assign and check for consistency 370 : ## symmetric subassign should keep symmetry 371 : st[I,I] <- 0; validObject(st); stopifnot(is(st,"symmetricMatrix")) 372 : s2[I,I] <- 0; validObject(s2); stopifnot(is(s2,"symmetricMatrix")) 373 : maechler 1724 ## 374 : maechler 1673 m <- as.mat(st) 375 : m[2:1,2:1] <- 4:1 376 : st[2:1,2:1] <- 4:1 377 : s2[2:1,2:1] <- 4:1 378 : stopifnot(identical(m, as.mat(st)), 379 : 1:4 == as.vector(s2[1:2,1:2]), 380 : identical(m, as.mat(s2))) 381 : 382 : maechler 1724 ## now a slightly different situation for 's2' (had bug) 383 : s2 <- as(dm, "sparseMatrix") 384 : s2[I,I] <- 0; diag(s2)[2:3] <- -(1:2) 385 : stopifnot(is(s2,"symmetricMatrix"), diag(s2) == c(0:-2,0)) 386 : t2 <- as(s2, "TsparseMatrix") 387 : m <- as.mat(s2) 388 : s2[2:1,2:1] <- 4:1 389 : t2[2:1,2:1] <- 4:1 390 : m[2:1,2:1] <- 4:1 391 : assert.EQ.mat(t2, m) 392 : assert.EQ.mat(s2, m) 393 : ## and the same (for a different s2 !) 394 : s2[2:1,2:1] <- 4:1 395 : t2[2:1,2:1] <- 4:1 396 : assert.EQ.mat(t2, m)# ok 397 : assert.EQ.mat(s2, m)# failed in 0.9975-8 398 : 399 : 400 : maechler 1673 ## m[cbind(i,j)] <- value: 401 : m.[ cbind(3:5, 1:3) ] <- 1:3 402 : stopifnot(m.[3,1] == 1, m.[4,2] == 2) 403 : x.x[ cbind(2:6, 2:6)] <- 12:16 404 : validObject(x.x) 405 : stopifnot(class(x.x) == "dsCMatrix", 406 : 12:16 == as.mat(x.x)[cbind(2:6, 2:6)]) 407 : maechler 1725 (ne1 <- (mc - m.) != 0) 408 : stopifnot(identical(ne1, 0 != abs(mc - m.))) 409 : (ge <- m. >= mc) # contains "=" -> result is dense 410 : ne. <- mc != m. # was wrong (+ warning) 411 : stopifnot(identical(!(m. < mc), m. >= mc), 412 : identical(m. < mc, as(!ge, "sparseMatrix")), 413 : identical(ne., Matrix:::drop0(ne1))) 414 : maechler 1673 415 : maechler 1751 (M3 <- Matrix(upper.tri(matrix(, 3, 3)))) # ltC; indexing used to fail 416 : T3 <- as(M3, "TsparseMatrix") 417 : stopifnot(identical(drop(M3), M3), 418 : identical4(drop(M3[,2, drop = FALSE]), M3[,2, drop = TRUE], 419 : drop(T3[,2, drop = FALSE]), T3[,2, drop = TRUE]), 420 : is(T3, "triangularMatrix"), 421 : !is(T3[,2, drop=FALSE], "triangularMatrix") 422 : ) 423 : maechler 1725 424 : maechler 1226 cat('Time elapsed: ', proc.time(),'\n') # for ``statistical reasons''