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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 873, Sat Aug 27 21:26:23 2005 UTC revision 1226, Mon Mar 13 14:07:58 2006 UTC
# Line 2  Line 2 
2    
3  library(Matrix)  library(Matrix)
4    
5  identical3 <- function(x,y,z)   identical(x,y) && identical (y,z)  source(system.file("test-tools.R", package = "Matrix"))# identical3() etc
 identical4 <- function(a,b,c,d) identical(a,b) && identical3(b,c,d)  
6    
7  ### Dense Matrices  ### Dense Matrices
8    
# Line 27  Line 26 
26            identical(m[2,], m[(1:nrow(m)) == 2, ]),            identical(m[2,], m[(1:nrow(m)) == 2, ]),
27            identical(m[,3:4], m[, (1:4) >= 3]))            identical(m[,3:4], m[, (1:4) >= 3]))
28    
29  ## dimnames index (TODO)  ## dimnames indexing:
30    mn <- m
31    dimnames(mn) <- list(paste("r",letters[1:nrow(mn)],sep=""),
32                         LETTERS[1:ncol(mn)])
33    mn["rd", "D"]
34    stopifnot(identical(mn["rc", "D"], mn[3,4]), mn[3,4] == 24,
35              identical(mn[, "A"], mn[,1]), mn[,1] == 1:7,
36              identical(mn[c("re", "rb"), "B"], mn[c(5,2), 2])
37              )
38    
39    mo <- m
40    m[2,3] <- 100
41    m[1:2, 4] <- 200
42    m[, 1] <- -1
43    m[1:3,]
44    
45    g10 <- m [ m > 10 ]
46    stopifnot(18 == length(g10))
47    if(paste(R.version$major, R.version$minor, sep=".") >= "2.3")
48        ## Buglet in R(<= 2.2.1)'s possibleExtends()
49        stopifnot(10 == length(m[ m <= 10 ]))
50    
 ## TODO: more --- particularly once we have "m > 10" working!  
51    
52    ### Sparse Matrices --------------------------------------
 ### Sparse Matrices  
53    
54  m <- 1:800  m <- 1:800
55  set.seed(101) ; m[sample(800, 600)] <- 0  set.seed(101) ; m[sample(800, 600)] <- 0
# Line 47  Line 64 
64  mC[,1]  mC[,1]
65  mC[1:2,]  mC[1:2,]
66  mC[7, drop = FALSE]  mC[7, drop = FALSE]
67    assert.EQ.mat(mC[1:2,], mm[1:2,])
68    stopifnot(all.equal(mC[,3],   mm[,3]))
69    assert.EQ.mat(mC[7, , drop=FALSE], mm[7, , drop=FALSE])
70    
71    stopifnot(identical(mC[7,  drop = FALSE],
72                        mC[7,, drop = FALSE]))
73  mT[,c(2,4)]  mT[,c(2,4)]
74  mT[1,]  stopifnot(all.equal(mT[1,], mm[1,]))
75  mT[4, drop = FALSE]  assert.EQ.mat(mT[4,, drop = FALSE], mm[4,, drop = FALSE])
76  stopifnot(identical3(mm[,1], mC[,1], mT[,1]),  stopifnot(identical3(mm[,1], mC[,1], mT[,1]),
77            identical3(mm[3,], mC[3,], mT[3,]),            identical3(mm[3,], mC[3,], mT[3,]),
78            identical3(mT[2,3], mC[2,3], 0),            identical3(mT[2,3], mC[2,3], 0),
79            identical(mT[], mT),            identical(mT[], mT),
80            ## TODO: identical4() with  m[c(3,7), 2:4]            ## TODO: identical4() with  m[c(3,7), 2:4] - fail because of 'dimnames'
81            identical3(as(mC[c(3,7), 2:4],"matrix"), mm[c(3,7), 2:4],            identical3(as(mC[c(3,7), 2:4],"matrix"), mm[c(3,7), 2:4],
82                       as(mT[c(3,7), 2:4],"matrix")))                       as(mT[c(3,7), 2:4],"matrix")))
83    
84    ## --- negative indices ----------
85    mc <- mC[1:5, 1:7]
86    mt <- mT[1:5, 1:7]
87    ## sub matrix
88    assert.EQ.mat(mC[1:2, 0:3], mm[1:2, 0:3]) # test 0-index
89    stopifnot(identical(mc[-(3:5), 0:2], mC[1:2, 0:2]),
90              identical(mt[-(3:5), 0:2], mT[1:2, 0:2]),
91              identical(mC[2:3, 4],      mm[2:3, 4]))
92    assert.EQ.mat(mC[1:2,], mm[1:2,])
93    ## sub vector
94    stopifnot(identical4(mc[-(1:4), ], mC[5, 1:7],
95                         mt[-(1:4), ], mT[5, 1:7]))
96    stopifnot(identical4(mc[-(1:4), -(2:4)], mC[5, c(1,5:7)],
97                         mt[-(1:4), -(2:4)], mT[5, c(1,5:7)]))
98    
99    ## mixing of negative and positive must give error
100    assertError(mT[-1:1,])
101    
102    ## Sub *Assignment* ---- now works (partially):
103    mt0 <- mt
104    mt[1, 4] <- -99
105    mt[2:3, 1:6] <- 0
106    mt
107    m2 <- mt+mt
108    m2[1,4] <- -200
109    m2[c(1,3), c(5:6,2)] <- 1:6
110    stopifnot(m2[1,4] == -200,
111              as.vector(m2[c(1,3), c(5:6,2)]) == 1:6)
112    mt[,3] <- 30
113    mt[2:3,] <- 250
114    mt[1:5 %% 2 == 1, 3] <- 0
115    mt[3:1, 1:7 > 5] <- 0
116    mt
117    
118    tt <- as(mt,"matrix")
119    ii <- c(0,2,5)
120    jj <- c(2:3,5)
121    tt[ii, jj] <- 1:6 # 0 is just "dropped"
122    mt[ii, jj] <- 1:6
123    assert.EQ.mat(mt, tt)
124    
125    mt[1:5, 2:6]
126    as((mt0 - mt)[1:5,], "dsparseMatrix")# [1,5] and lines 2:3
127    
128    mt[c(2,4), ] <- 0
129    mt[2:3, 4:7] <- 33
130    validObject(mt)
131    mt
132    
133    mc[1,4] <- -99
134    mc[-1, 3] <- -2:1 # 0 should not be entered; 'value' recycled
135    mt[-1, 3] <- -2:1
136    stopifnot(mc@x != 0, mt@x != 0)
137    mc[1:5 %% 2 == 0, 3] <- 0
138    validObject(mc)
139    mc
140    mc[ii, jj] <- 1:6
141    mc[c(2,5), c(3,5)] <- 3.2
142    validObject(mc)
143    mc
144    
145    cat('Time elapsed: ', proc.time(),'\n') # for ``statistical reasons''

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