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Diff of /pkg/tests/indexing.R

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revision 1226, Mon Mar 13 14:07:58 2006 UTC revision 1673, Mon Nov 6 20:54:26 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 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  mT[,c(2,4)]  validObject(print(mT[,c(2,4)]))
94  stopifnot(all.equal(mT[1,], mm[1,]))  stopifnot(all.equal(mT[2,], mm[2,]),
95              ## row or column indexing in combination with t() :
96              identical(mT[2,], t(mT)[,2]),
97              identical(mT[-2,], t(t(mT)[,-2])),
98              identical(mT[c(2,5),], t(t(mT)[,c(2,5)]))
99              )
100  assert.EQ.mat(mT[4,, drop = FALSE], mm[4,, drop = FALSE])  assert.EQ.mat(mT[4,, drop = FALSE], mm[4,, drop = FALSE])
101  stopifnot(identical3(mm[,1], mC[,1], mT[,1]),  stopifnot(identical3(mm[,1], mC[,1], mT[,1]),
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    
129  ## --- negative indices ----------  ## --- negative indices ----------
130  mc <- mC[1:5, 1:7]  mc <- mC[1:5, 1:7]
# Line 125  Line 170 
170  mt[1:5, 2:6]  mt[1:5, 2:6]
171  as((mt0 - mt)[1:5,], "dsparseMatrix")# [1,5] and lines 2:3  as((mt0 - mt)[1:5,], "dsparseMatrix")# [1,5] and lines 2:3
172    
173  mt[c(2,4), ] <- 0  mt[c(2,4), ] <- 0; stopifnot(as(mt[c(2,4), ],"matrix") == 0)
174  mt[2:3, 4:7] <- 33  mt[2:3, 4:7] <- 33
175  validObject(mt)  validObject(mt)
176  mt  mt
177    
178  mc[1,4] <- -99  mc[1,4] <- -99 ; stopifnot(mc[1,4] == -99)
179    mc[1,4] <-  00 ; stopifnot(mc[1,4] ==  00)
180    mc[1,4] <- -99 ; stopifnot(mc[1,4] == -99)
181    mc[1:2,4:3] <- 4:1; stopifnot(as.matrix(mc[1:2,4:3]) == 4:1)
182    
183  mc[-1, 3] <- -2:1 # 0 should not be entered; 'value' recycled  mc[-1, 3] <- -2:1 # 0 should not be entered; 'value' recycled
184  mt[-1, 3] <- -2:1  mt[-1, 3] <- -2:1
185  stopifnot(mc@x != 0, mt@x != 0)  stopifnot(mc@x != 0, mt@x != 0,
186  mc[1:5 %% 2 == 0, 3] <- 0            mc[-1,3] == -2:1, mt[-1,3] == -2:1) ##--> BUG -- fixed
187    
188    ev <- 1:5 %% 2 == 0
189    mc[ev, 3] <- 0:1
190    if(FALSE)## FIXME
191     stopifnot(mc[ev, 3] == 0:1) ##-> BUG  {very peculiar; the 2nd time it works ...}
192  validObject(mc)  validObject(mc)
193  mc  mc # now shows a non-structural zeros
194  mc[ii, jj] <- 1:6  mc[ii, jj] <- 1:6
195  mc[c(2,5), c(3,5)] <- 3.2  mc[c(2,5), c(3,5)] <- 3.2
196  validObject(mc)  validObject(mc)
197    m. <- mc
198    mc[4,] <- 0
199  mc  mc
200    
201    H <- Hilbert(9)
202    Hc <- as(round(H, 3), "dsCMatrix")# a sparse matrix with no 0 ...
203    (trH <- tril(Hc[1:5, 1:5]))
204    stopifnot(is(trH, "triangularMatrix"), trH@uplo == "L")
205    
206    i <- c(1:2, 4, 6:7); j <- c(2:4,6)
207    H[i,j] <- 0
208    (H. <- round(as(H, "sparseMatrix"), 3)[ , 2:7])
209    Hc. <- Hc
210    Hc.[i,j] <- 0 ## now "works", but setting "non-structural" 0s
211    stopifnot(as.matrix(Hc.[i,j]) == 0)
212    Hc.[, 1:6]
213    
214    ## an example that failed long
215    sy3 <- new("dsyMatrix", Dim = as.integer(c(2, 2)), x = c(14, -1, 2, -7))
216    validObject(dm <- kronecker(Diagonal(2), sy3))
217    (s2 <- as(dm, "sparseMatrix"))
218    validObject(st <- as(s2, "TsparseMatrix"))
219    validObject(s.32  <- st[1:3,1:2]) ## 3 x 2 - and *not* dsTMatrix
220    validObject(s2.32 <- s2[1:3,1:2])
221    I <- c(1,4:3)
222    stopifnot(is(s2.32, "generalMatrix"),
223              is(s.32,  "generalMatrix"),
224              identical(as.mat(s.32), as.mat(s2.32)),
225              identical3(dm[1:3,-1], asD(s2[1:3,-1]), asD(st[1:3,-1])),
226              identical4(2, dm[4,3], s2[4,3], st[4,3]),
227              identical3(diag(dm), diag(s2), diag(st)),
228              is((cI <- s2[I,I]), "dsCMatrix"),
229              is((tI <- st[I,I]), "dsTMatrix"),
230              identical4(as.mat(dm)[I,I], as.mat(dm[I,I]), as.mat(tI), as.mat(cI))
231              )
232    
233    ## now sub-assign  and check for consistency
234    ## symmetric subassign should keep symmetry
235    st[I,I] <- 0; validObject(st); stopifnot(is(st,"symmetricMatrix"))
236    s2[I,I] <- 0; validObject(s2); stopifnot(is(s2,"symmetricMatrix"))
237    
238    m <- as.mat(st)
239     m[2:1,2:1] <- 4:1
240    st[2:1,2:1] <- 4:1
241    s2[2:1,2:1] <- 4:1
242    stopifnot(identical(m, as.mat(st)),
243              1:4 == as.vector(s2[1:2,1:2]),
244              identical(m, as.mat(s2)))
245    
246    ## m[cbind(i,j)] <- value:
247    m.[ cbind(3:5, 1:3) ] <- 1:3
248    stopifnot(m.[3,1] == 1, m.[4,2] == 2)
249    x.x[ cbind(2:6, 2:6)] <- 12:16
250    validObject(x.x)
251    stopifnot(class(x.x) == "dsCMatrix",
252              12:16 == as.mat(x.x)[cbind(2:6, 2:6)])
253    
254  cat('Time elapsed: ', proc.time(),'\n') # for ``statistical reasons''  cat('Time elapsed: ', proc.time(),'\n') # for ``statistical reasons''

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