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

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revision 1724, Sat Jan 13 21:06:51 2007 UTC revision 2096, Fri Dec 7 17:44:44 2007 UTC
# Line 81  Line 81 
81  mC[1:2,]  mC[1:2,]
82  mC[7,  drop = FALSE]  mC[7,  drop = FALSE]
83  assert.EQ.mat(mC[1:2,], mm[1:2,])  assert.EQ.mat(mC[1:2,], mm[1:2,])
84    
85    ## *repeated* (aka 'duplicated') indices - did not work at all ...
86    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    assert.EQ.mat(mC[i, 2:1], mm[i, 2:1])
91    assert.EQ.mat(mC[c(4,1,2:1), j], mm[c(4,1,2:1), j])
92    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    
100    ##---- Symmetric indexing of symmetric Matrix ----------
101    m. <- mC; m.[, c(2, 7:12)] <- 0
102    validObject(S <- crossprod(add.simpleDimnames(m.) %% 100))
103    ss <- as(S, "matrix")
104    T <- as(S, "TsparseMatrix")
105    ## non-repeated indices:
106    i <- c(7:5, 2:4);assert.EQ.mat(T[i,i], ss[i,i])
107    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    ## repeated ones ``the challenge'' (to do smartly):
118    j <- c(4, 4, 9, 12, 9, 4, 17, 3, 18, 4, 12, 18, 4, 9)
119    assert.EQ.mat(T[j,j], ss[j,j])
120    ## 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    
142    
143  stopifnot(all.equal(mC[,3], mm[,3]),  stopifnot(all.equal(mC[,3], mm[,3]),
144            identical(mC[ij], mm[ij]))            identical(mC[ij], mm[ij]))
145  assert.EQ.mat(mC[7, , drop=FALSE], mm[7, , drop=FALSE])  assert.EQ.mat(mC[7, , drop=FALSE], mm[7, , drop=FALSE])
# Line 125  Line 184 
184            identical(as.mat(l3 ), m.x[1:3, ] != 0)            identical(as.mat(l3 ), m.x[1:3, ] != 0)
185            )            )
186    
187    ##-- 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; B. <- B
190    B.[3,] <- rbind(4:2)
191    diag(B.) <- 10 * diag(B.)
192    C <- B.; C[,2] <- C[,2];  C[1,] <- C[1,]; C[2:3,2:1] <- C[2:3,2:1]
193    stopifnot(identical(unname(as.matrix(A)),
194                        local({a <- matrix(0,4,3); a[c(1,2,1), 2] <-  1 ; a})),
195              identical(unname(as.matrix(B)),
196                        local({a <- matrix(0,4,3); a[c(1,2,1), 2] <- 1:3; a})),
197              identical(C, drop0(B.)))
198    
199    
200  ## used to fail  ## used to fail
201  n <- 5 ## or much larger  n <- 5 ## or much larger
202  sm <- new("dsTMatrix", i=as.integer(1),j=as.integer(1),  sm <- new("dsTMatrix", i=as.integer(1),j=as.integer(1),
# Line 142  Line 214 
214  m0 <- Diagonal(5)  m0 <- Diagonal(5)
215  (m1 <- as(m0, "sparseMatrix"))  # dtTMatrix  (m1 <- as(m0, "sparseMatrix"))  # dtTMatrix
216  (m2 <- as(m0, "CsparseMatrix")) # dtCMatrix (with an irrelevant warning)  (m2 <- as(m0, "CsparseMatrix")) # dtCMatrix (with an irrelevant warning)
217    m1g <- as(m1, "generalMatrix")
218    stopifnot(is(m1g, "dgTMatrix"))
219    assert.EQ.mat(m2[1:3,],    diag(5)[1:3,])
220    assert.EQ.mat(m2[,c(4,1)], diag(5)[,c(4,1)])
221    stopifnot(identical(m2[1:3,], as(m1[1:3,], "CsparseMatrix")),
222              identical(Matrix:::uniqTsparse(m1[, c(4,2)]),
223                        Matrix:::uniqTsparse(as(m2[, c(4,2)], "TsparseMatrix")))
224              )## failed in 0.9975-11
225    
226  M <- m0; M[1,] <- 0  M <- m0; M[1,] <- 0
227  stopifnot(identical(M, Diagonal(x=c(0, rep(1,4)))))  stopifnot(identical(M, Diagonal(x=c(0, rep(1,4)))))
# Line 169  Line 249 
249  stopifnot(is(T, "dtCMatrix"), identical(T[,3], c(10,10,10,0,0)))  stopifnot(is(T, "dtCMatrix"), identical(T[,3], c(10,10,10,0,0)))
250    
251    
252    ## "Vector indices" --- now ``work'' but wrongly __FIXME__
253    i <- c(1,3,6); v <- c(10,15,20)
254    D <- Diagonal(6)
255    m <- as(D,"matrix")
256    s <- as(D,"sparseMatrix")
257    
258    D[i] <- v; D
259    s[i] <- v; s
260    m[i] <- v; m
261    
262    
263  ## --- negative indices ----------  ## --- negative indices ----------
264  mc <- mC[1:5, 1:7]  mc <- mC[1:5, 1:7]
265  mt <- mT[1:5, 1:7]  mt <- mT[1:5, 1:7]
# Line 270  Line 361 
361    
362  ## an example that failed for a long time  ## an example that failed for a long time
363  sy3 <- new("dsyMatrix", Dim = as.integer(c(2, 2)), x = c(14, -1, 2, -7))  sy3 <- new("dsyMatrix", Dim = as.integer(c(2, 2)), x = c(14, -1, 2, -7))
364  validObject(dm <- kronecker(Diagonal(2), sy3))  validObject(dm <- kronecker(Diagonal(2), sy3))# now sparse with new kronecker
365    dm <- Matrix(as.matrix(dm))# -> "dsyMatrix"
366  (s2 <- as(dm, "sparseMatrix"))  (s2 <- as(dm, "sparseMatrix"))
367  validObject(st <- as(s2, "TsparseMatrix"))  validObject(st <- as(s2, "TsparseMatrix"))
368    stopifnot(is(s2, "symmetricMatrix"),
369              is(st, "symmetricMatrix"))
370  validObject(s.32  <- st[1:3,1:2]) ## 3 x 2 - and *not* dsTMatrix  validObject(s.32  <- st[1:3,1:2]) ## 3 x 2 - and *not* dsTMatrix
371  validObject(s2.32 <- s2[1:3,1:2])  validObject(s2.32 <- s2[1:3,1:2])
372  I <- c(1,4:3)  I <- c(1,4:3)
# Line 325  Line 419 
419  validObject(x.x)  validObject(x.x)
420  stopifnot(class(x.x) == "dsCMatrix",  stopifnot(class(x.x) == "dsCMatrix",
421            12:16 == as.mat(x.x)[cbind(2:6, 2:6)])            12:16 == as.mat(x.x)[cbind(2:6, 2:6)])
422    (ne1 <- (mc - m.) != 0)
423    stopifnot(identical(ne1, 0 != abs(mc - m.)))
424    (ge <- m. >= mc) # contains "=" -> result is dense
425    ne. <- mc != m.  # was wrong (+ warning)
426    stopifnot(identical(!(m. < mc), m. >= mc),
427              identical(m. < mc, as(!ge, "sparseMatrix")),
428              identical(ne., Matrix:::drop0(ne1)))
429    
430    (M3 <- Matrix(upper.tri(matrix(, 3, 3)))) # ltC; indexing used to fail
431    T3 <- as(M3, "TsparseMatrix")
432    stopifnot(identical(drop(M3), M3),
433              identical4(drop(M3[,2, drop = FALSE]), M3[,2, drop = TRUE],
434                         drop(T3[,2, drop = FALSE]), T3[,2, drop = TRUE]),
435              is(T3, "triangularMatrix"),
436              !is(T3[,2, drop=FALSE], "triangularMatrix")
437              )
438    
439  cat('Time elapsed: ', proc.time(),'\n') # for ``statistical reasons''  cat('Time elapsed: ', proc.time(),'\n') # for ``statistical reasons''

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