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Diff of /pkg/tests/indexing.R

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revision 1374, Tue Aug 15 18:17:44 2006 UTC revision 1705, Sat Dec 16 12:37:25 2006 UTC
# 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 44  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))
 ## needs R >= 2.3.0 [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 66  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(dim(mC[numeric(0), ]) == c(0,20), # used to give warnings  stopifnot(dim(mC[numeric(0), ]) == c(0,20), # used to give warnings
# Line 86  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            ## TODO: identical3() with as(mC[c(3,7), 2:4],"matrix"),                       as.mat(mT[c(3,7), 2:4]), as.mat(mC[c(3,7), 2:4]))
           ##       fails because of 'dimnames'  
           identical(mm[c(3,7), 2:4], as(mT[c(3,7), 2:4],"matrix"))  
107            )            )
108    
109  x.x <- crossprod(mC)  x.x <- crossprod(mC)
110  stopifnot(class(x.x) == "dsCMatrix",  stopifnot(class(x.x) == "dsCMatrix",
111            class(x.x. <- round(x.x / 10000)) == "dsCMatrix")            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"  head(x.x.) # Note the *non*-structural 0's printed as "0"
115  ## FIXME (once we require 2.4.x or higher):  tail(x.x., -3) # all but the first three lines
 ##  tail(x.x., -2) # the last two lines  
116    
117  lx.x <- as(x.x, "lsCMatrix") # FALSE only for "structural" 0  lx.x <- as(x.x, "lsCMatrix") # FALSE only for "structural" 0
118  if(FALSE) { ## FIXME: needs coercion  "lsCMatrix" to "lgTMatrix"  (l10 <- lx.x[1:10, 1:10])# "lsC"
119      lx.x[1:10, 1:10]  (l3 <-  lx.x[1:3, ])
120      lx.x[1:3, ]  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    
142  ## --- negative indices ----------  ## --- negative indices ----------
143  mc <- mC[1:5, 1:7]  mc <- mC[1:5, 1:7]
# Line 173  Line 207 
207  mc[ii, jj] <- 1:6  mc[ii, jj] <- 1:6
208  mc[c(2,5), c(3,5)] <- 3.2  mc[c(2,5), c(3,5)] <- 3.2
209  validObject(mc)  validObject(mc)
210  (m. <- mc)  m. <- mc
211  if(FALSE)## FIXME:  mc[4,] <- 0
212   mc[4,] <- 0 # -> error -- another Bug  mc
213    
214  H <- Hilbert(9)  H <- Hilbert(9)
215  Hc <- as(round(H, 3), "dsCMatrix")# a sparse matrix with no 0 ...  Hc <- as(round(H, 3), "dsCMatrix")# a sparse matrix with no 0 ...
# Line 190  Line 224 
224  stopifnot(as.matrix(Hc.[i,j]) == 0)  stopifnot(as.matrix(Hc.[i,j]) == 0)
225  Hc.[, 1:6]  Hc.[, 1:6]
226    
227    ## an example that failed long
228    sy3 <- new("dsyMatrix", Dim = as.integer(c(2, 2)), x = c(14, -1, 2, -7))
229    validObject(dm <- kronecker(Diagonal(2), sy3))
230    (s2 <- as(dm, "sparseMatrix"))
231    validObject(st <- as(s2, "TsparseMatrix"))
232    validObject(s.32  <- st[1:3,1:2]) ## 3 x 2 - and *not* dsTMatrix
233    validObject(s2.32 <- s2[1:3,1:2])
234    I <- c(1,4:3)
235    stopifnot(is(s2.32, "generalMatrix"),
236              is(s.32,  "generalMatrix"),
237              identical(as.mat(s.32), as.mat(s2.32)),
238              identical3(dm[1:3,-1], asD(s2[1:3,-1]), asD(st[1:3,-1])),
239              identical4(2, dm[4,3], s2[4,3], st[4,3]),
240              identical3(diag(dm), diag(s2), diag(st)),
241              is((cI <- s2[I,I]), "dsCMatrix"),
242              is((tI <- st[I,I]), "dsTMatrix"),
243              identical4(as.mat(dm)[I,I], as.mat(dm[I,I]), as.mat(tI), as.mat(cI))
244              )
245    
246    ## now sub-assign  and check for consistency
247    ## symmetric subassign should keep symmetry
248    st[I,I] <- 0; validObject(st); stopifnot(is(st,"symmetricMatrix"))
249    s2[I,I] <- 0; validObject(s2); stopifnot(is(s2,"symmetricMatrix"))
250    
251    m <- as.mat(st)
252     m[2:1,2:1] <- 4:1
253    st[2:1,2:1] <- 4:1
254    s2[2:1,2:1] <- 4:1
255    stopifnot(identical(m, as.mat(st)),
256              1:4 == as.vector(s2[1:2,1:2]),
257              identical(m, as.mat(s2)))
258    
259    ## m[cbind(i,j)] <- value:
260    m.[ cbind(3:5, 1:3) ] <- 1:3
261    stopifnot(m.[3,1] == 1, m.[4,2] == 2)
262    x.x[ cbind(2:6, 2:6)] <- 12:16
263    validObject(x.x)
264    stopifnot(class(x.x) == "dsCMatrix",
265              12:16 == as.mat(x.x)[cbind(2:6, 2:6)])
266    
267  cat('Time elapsed: ', proc.time(),'\n') # for ``statistical reasons''  cat('Time elapsed: ', proc.time(),'\n') # for ``statistical reasons''

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