SCM

SCM Repository

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

Diff of /pkg/tests/indexing.R

Parent Directory Parent Directory | Revision Log Revision Log | View Patch Patch

revision 1315, Mon Jul 10 16:08:05 2006 UTC revision 1710, Tue Dec 26 15:57:06 2006 UTC
# Line 1  Line 1 
1  #### For both 'Extract' ("[") and 'Replace' ("[<-") Method testing  ## For both 'Extract' ("[") and 'Replace' ("[<-") Method testing
2    
3  library(Matrix)  library(Matrix)
4    
# Line 6  Line 6 
6    
7  ### Dense Matrices  ### Dense Matrices
8    
9  m <- Matrix(1:28, nrow = 7)  m <- Matrix(1:28 +0, nrow = 7)
10  validObject(m) ; m@x <- as.double(m@x) ; validObject(m)  validObject(m)
11  stopifnot(identical(m, m[]),  stopifnot(identical(m, m[]),
12            identical(m[2, 3],  16), # simple number            identical(m[2, 3],  16), # simple number
13            identical(m[2, 3:4], c(16,23))) # simple numeric of length 2            identical(m[2, 3:4], c(16,23))) # simple numeric of length 2
# Line 20  Line 20 
20  m[,2]     # 2nd column  m[,2]     # 2nd column
21  m[,1:2]   # sub matrix of first two columns  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  m[-(1:6),, drop=FALSE] # not the first 6 rows, i.e. only the 7th
23    m[integer(0),] #-> 0 x 4 Matrix
24    m[2:4, numeric(0)] #-> 3 x 0 Matrix
25    
26  ## logical indexing  ## logical indexing
27  stopifnot(identical(m[2,3], m[(1:nrow(m)) == 2, (1:ncol(m)) == 3]),  stopifnot(identical(m[2,3], m[(1:nrow(m)) == 2, (1:ncol(m)) == 3]),
# Line 42  Line 44 
44  m[, 1] <- -1  m[, 1] <- -1
45  m[1:3,]  m[1:3,]
46    
47    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    ## testing operations on logical Matrices rather more than indexing:
54  g10 <- m [ m > 10 ]  g10 <- m [ m > 10 ]
55  stopifnot(18 == length(g10))  stopifnot(18 == length(g10))
 if(paste(R.version$major, R.version$minor, sep=".") >= "2.3")  
     ## Buglet in R(<= 2.2.1)'s possibleExtends()  
56      stopifnot(10 == length(m[ m <= 10 ]))      stopifnot(10 == length(m[ m <= 10 ]))
57    sel <- (20 <  m) & (m <  150)
58    sel.<- (20 <  m.)& (m.<  150)
59    nsel <-(20 >= m) | (m >= 150)
60    (ssel <- as(sel, "sparseMatrix"))
61    stopifnot(is(sel, "lMatrix"), is(ssel, "lsparseMatrix"),
62              identical3(as.mat(sel.), as.mat(sel), as.mat(ssel)),
63              identical3(!sel, !ssel, nsel), # !<sparse> is typically dense
64              identical3(m[ sel],  m[ ssel], as.matrix(m)[as.matrix( ssel)]),
65              identical3(m[!sel],  m[!ssel], as.matrix(m)[as.matrix(!ssel)])
66              )
67    
68    ## more sparse Matrices --------------------------------------
 ### Sparse Matrices --------------------------------------  
69    
70  m <- 1:800  m <- 1:800
71  set.seed(101) ; m[sample(800, 600)] <- 0  set.seed(101) ; m[sample(800, 600)] <- 0
# Line 65  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  stopifnot(all.equal(mC[,3],   mm[,3]))  stopifnot(all.equal(mC[,3], mm[,3]),
85              identical(mC[ij], mm[ij]))
86  assert.EQ.mat(mC[7, , drop=FALSE], mm[7, , drop=FALSE])  assert.EQ.mat(mC[7, , drop=FALSE], mm[7, , drop=FALSE])
87    
88  stopifnot(identical(mC[7,  drop = FALSE],  stopifnot(dim(mC[numeric(0), ]) == c(0,20), # used to give warnings
89              dim(mC[, integer(0)]) == c(40,0),
90              identical(mC[, integer(0)], mC[, FALSE]),
91              identical(mC[7,  drop = FALSE],
92                      mC[7,, drop = FALSE]))                      mC[7,, drop = FALSE]))
93  validObject(print(mT[,c(2,4)]))  validObject(print(mT[,c(2,4)]))
94  stopifnot(all.equal(mT[2,], mm[2,]),  stopifnot(all.equal(mT[2,], mm[2,]),
# Line 82  Line 102 
102            identical3(mm[3,], mC[3,], mT[3,]),            identical3(mm[3,], mC[3,], mT[3,]),
103            identical3(mT[2,3], mC[2,3], 0),            identical3(mT[2,3], mC[2,3], 0),
104            identical(mT[], mT),            identical(mT[], mT),
105            ## TODO: identical4() with  m[c(3,7), 2:4] - fail because of 'dimnames'            identical4(       mm[c(3,7), 2:4],  as.mat( m[c(3,7), 2:4]),
106            identical3(as(mC[c(3,7), 2:4],"matrix"), mm[c(3,7), 2:4],                       as.mat(mT[c(3,7), 2:4]), as.mat(mC[c(3,7), 2:4]))
107                       as(mT[c(3,7), 2:4],"matrix")))            )
108    
109    x.x <- crossprod(mC)
110    stopifnot(class(x.x) == "dsCMatrix",
111              class(x.x. <- round(x.x / 10000)) == "dsCMatrix",
112              identical(x.x[cbind(2:6, 2:6)],
113                        diag(x.x [2:6, 2:6])))
114    head(x.x.) # Note the *non*-structural 0's printed as "0"
115    tail(x.x., -3) # all but the first three lines
116    
117    lx.x <- as(x.x, "lsCMatrix") # FALSE only for "structural" 0
118    (l10 <- lx.x[1:10, 1:10])# "lsC"
119    (l3 <-  lx.x[1:3, ])
120    m.x <- as(x.x, "matrix")
121    stopifnot(class(l10) == "lsCMatrix", # symmetric indexing -> symmetric !
122              identical(as.mat(lx.x), m.x != 0),
123              identical(as.logical(lx.x), as.logical(m.x)),
124              identical(as.mat(l10), m.x[1:10, 1:10] != 0),
125              identical(as.mat(l3 ), m.x[1:3, ] != 0)
126              )
127    
128    ## used to fail
129    n <- 5 ## or much larger
130    sm <- new("dsTMatrix", i=as.integer(1),j=as.integer(1),
131              Dim=as.integer(c(n,n)), x = 1)
132    (cm <- as(sm, "CsparseMatrix"))
133    sm[2,]
134    stopifnot(sm[2,] == c(0:1, rep.int(0,ncol(sm)-2)),
135              sm[2,] == cm[2,],
136              sm[,3] == sm[3,],
137              all(sm[,-(1:3)] == t(sm[-(1:3),])), # all(<lge.>)
138              all(sm[,-(1:3)] == 0)
139              )
140    
141    ### Diagonal -- Sparse:
142    m0 <- Diagonal(5)
143    (m1 <- as(m0, "sparseMatrix"))  # dtTMatrix
144    (m2 <- as(m0, "CsparseMatrix")) # dtCMatrix (with an irrelevant warning)
145    
146    M <- m0; M[1,] <- 0
147    stopifnot(identical(M, Diagonal(x=c(0, rep(1,4)))))
148    M <- m0; M[,3] <- 3 ; M ; stopifnot(is(M, "sparseMatrix"), M[,3] == 3)
149    validObject(M)
150    M <- m0; M[1:3, 3] <- 0 ;M
151    T <- m0; T[1:3, 3] <- 10
152    stopifnot(identical(M, Diagonal(x=c(1,1, 0, 1,1))),
153              is(T, "triangularMatrix"), identical(T[,3], c(10,10,10,0,0)))
154    
155    M <- m1; M[1,] <- 0 ; M ; assert.EQ.mat(M, diag(c(0,rep(1,4))), tol=0)
156    M <- m1; M[,3] <- 3 ; stopifnot(is(M,"sparseMatrix"), M[,3] == 3)
157    validObject(M)
158    M <- m1; M[1:3, 3] <- 0 ;M
159    assert.EQ.mat(M, diag(c(1,1, 0, 1,1)), tol=0)
160    T <- m1; T[1:3, 3] <- 10; validObject(T)
161    stopifnot(is(T, "dtTMatrix"), identical(T[,3], c(10,10,10,0,0)))
162    
163    M <- m2; M[1,] <- 0 ; M ; assert.EQ.mat(M, diag(c(0,rep(1,4))), tol=0)
164    M <- m2; M[,3] <- 3 ; stopifnot(is(M,"sparseMatrix"), M[,3] == 3)
165    validObject(M)
166    M <- m2; M[1:3, 3] <- 0 ;M
167    assert.EQ.mat(M, diag(c(1,1, 0, 1,1)), tol=0)
168    T <- m2; T[1:3, 3] <- 10; validObject(T)
169    stopifnot(is(T, "dtCMatrix"), identical(T[,3], c(10,10,10,0,0)))
170    
171    
172    
173  ## --- negative indices ----------  ## --- negative indices ----------
174  mc <- mC[1:5, 1:7]  mc <- mC[1:5, 1:7]
# Line 140  Line 224 
224  mc[1,4] <- -99 ; stopifnot(mc[1,4] == -99)  mc[1,4] <- -99 ; stopifnot(mc[1,4] == -99)
225  mc[1:2,4:3] <- 4:1; stopifnot(as.matrix(mc[1:2,4:3]) == 4:1)  mc[1:2,4:3] <- 4:1; stopifnot(as.matrix(mc[1:2,4:3]) == 4:1)
226    
 ## Debugging:  R bug --   debug(Matrix:::replCmat)  has no effect  
   
227  mc[-1, 3] <- -2:1 # 0 should not be entered; 'value' recycled  mc[-1, 3] <- -2:1 # 0 should not be entered; 'value' recycled
228  mt[-1, 3] <- -2:1  mt[-1, 3] <- -2:1
229  stopifnot(mc@x != 0, mt@x != 0,  stopifnot(mc@x != 0, mt@x != 0,
230            mc[-1,3] == -2:1, mt[-1,3] == -2:1) ##--> BUG -- fixed            mc[-1,3] == -2:1, mt[-1,3] == -2:1) ## failed earlier
231  ## source("~/R/Pkgs/Matrix/R/Tsparse.R")  
232  ## Matrix_expand_pointers <- Matrix:::Matrix_expand_pointers  mc0 <- mc
233  ## -> open ../R/dgCMatrix.R  --> replCmat  .. now eval-line by line ..  set.seed(1)
234    for(i in 1:20) {
235  ev <- 1:5 %% 2 == 0      mc <- mc0
236  mc[ev, 3] <- 0:1      ev <- 1:5 %% 2 == round(runif(1))# 0 or 1
237  ##FIXME stopifnot(mc[ev, 3] == 0:1) ##-> BUG  {very peculiar; the 2nd time it works ...}      j <- sample(ncol(mc), 1 + round(runif(1)))
238        nv <- rpois(sum(ev) * length(j), lambda = 1)
239        mc[ev, j] <- nv
240        if(i < 5) print(mc[ev,j, drop = FALSE])
241        stopifnot(as.vector(mc[ev, j]) == nv) ## failed earlier...
242  validObject(mc)  validObject(mc)
243  mc # now shows a non-structural zeros  }
244    
245    mc # no longer has non-structural zeros
246  mc[ii, jj] <- 1:6  mc[ii, jj] <- 1:6
247  mc[c(2,5), c(3,5)] <- 3.2  mc[c(2,5), c(3,5)] <- 3.2
248  validObject(mc)  validObject(mc)
249  (m. <- mc)  m. <- mc
250  ## FIXME: mc[4,] <- 0 # -> error -- another Bug  mc[4,] <- 0
251    mc
252    
253    H <- Hilbert(9)
254    Hc <- as(round(H, 3), "dsCMatrix")# a sparse matrix with no 0 ...
255    (trH <- tril(Hc[1:5, 1:5]))
256    stopifnot(is(trH, "triangularMatrix"), trH@uplo == "L")
257    
258    i <- c(1:2, 4, 6:7); j <- c(2:4,6)
259    H[i,j] <- 0
260    (H. <- round(as(H, "sparseMatrix"), 3)[ , 2:7])
261    Hc. <- Hc
262    Hc.[i,j] <- 0 ## now "works", but setting "non-structural" 0s
263    stopifnot(as.matrix(Hc.[i,j]) == 0)
264    Hc.[, 1:6]
265    
266    ## an example that failed long
267    sy3 <- new("dsyMatrix", Dim = as.integer(c(2, 2)), x = c(14, -1, 2, -7))
268    validObject(dm <- kronecker(Diagonal(2), sy3))
269    (s2 <- as(dm, "sparseMatrix"))
270    validObject(st <- as(s2, "TsparseMatrix"))
271    validObject(s.32  <- st[1:3,1:2]) ## 3 x 2 - and *not* dsTMatrix
272    validObject(s2.32 <- s2[1:3,1:2])
273    I <- c(1,4:3)
274    stopifnot(is(s2.32, "generalMatrix"),
275              is(s.32,  "generalMatrix"),
276              identical(as.mat(s.32), as.mat(s2.32)),
277              identical3(dm[1:3,-1], asD(s2[1:3,-1]), asD(st[1:3,-1])),
278              identical4(2, dm[4,3], s2[4,3], st[4,3]),
279              identical3(diag(dm), diag(s2), diag(st)),
280              is((cI <- s2[I,I]), "dsCMatrix"),
281              is((tI <- st[I,I]), "dsTMatrix"),
282              identical4(as.mat(dm)[I,I], as.mat(dm[I,I]), as.mat(tI), as.mat(cI))
283              )
284    
285    ## now sub-assign  and check for consistency
286    ## symmetric subassign should keep symmetry
287    st[I,I] <- 0; validObject(st); stopifnot(is(st,"symmetricMatrix"))
288    s2[I,I] <- 0; validObject(s2); stopifnot(is(s2,"symmetricMatrix"))
289    
290    m <- as.mat(st)
291     m[2:1,2:1] <- 4:1
292    st[2:1,2:1] <- 4:1
293    s2[2:1,2:1] <- 4:1
294    stopifnot(identical(m, as.mat(st)),
295              1:4 == as.vector(s2[1:2,1:2]),
296              identical(m, as.mat(s2)))
297    
298    ## m[cbind(i,j)] <- value:
299    m.[ cbind(3:5, 1:3) ] <- 1:3
300    stopifnot(m.[3,1] == 1, m.[4,2] == 2)
301    x.x[ cbind(2:6, 2:6)] <- 12:16
302    validObject(x.x)
303    stopifnot(class(x.x) == "dsCMatrix",
304              12:16 == as.mat(x.x)[cbind(2:6, 2:6)])
305    
306  cat('Time elapsed: ', proc.time(),'\n') # for ``statistical reasons''  cat('Time elapsed: ', proc.time(),'\n') # for ``statistical reasons''

Legend:
Removed from v.1315  
changed lines
  Added in v.1710

root@r-forge.r-project.org
ViewVC Help
Powered by ViewVC 1.0.0  
Thanks to:
Vienna University of Economics and Business Powered By FusionForge