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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 1269, Thu May 18 06:43:29 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  mT[,c(2,4)]  stopifnot(all.equal(mC[,3],   mm[,3]))
69  mT[1,]  assert.EQ.mat(mC[7, , drop=FALSE], mm[7, , drop=FALSE])
70  mT[4, drop = FALSE]  
71    stopifnot(identical(mC[7,  drop = FALSE],
72                        mC[7,, drop = FALSE]))
73    validObject(print(mT[,c(2,4)]))
74    stopifnot(all.equal(mT[2,], mm[2,]),
75              ## row or column indexing in combination with t() :
76              identical(mT[2,], t(mT)[,2]),
77              identical(mT[-2,], t(t(mT)[,-2])),
78              identical(mT[c(2,5),], t(t(mT)[,c(2,5)]))
79              )
80    assert.EQ.mat(mT[4,, drop = FALSE], mm[4,, drop = FALSE])
81  stopifnot(identical3(mm[,1], mC[,1], mT[,1]),  stopifnot(identical3(mm[,1], mC[,1], mT[,1]),
82            identical3(mm[3,], mC[3,], mT[3,]),            identical3(mm[3,], mC[3,], mT[3,]),
83            identical3(mT[2,3], mC[2,3], 0),            identical3(mT[2,3], mC[2,3], 0),
84            identical(mT[], mT),            identical(mT[], mT),
85            ## TODO: identical4() with  m[c(3,7), 2:4]            ## TODO: identical4() with  m[c(3,7), 2:4] - fail because of 'dimnames'
86            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],
87                       as(mT[c(3,7), 2:4],"matrix")))                       as(mT[c(3,7), 2:4],"matrix")))
88    
89    ## --- negative indices ----------
90    mc <- mC[1:5, 1:7]
91    mt <- mT[1:5, 1:7]
92    ## sub matrix
93    assert.EQ.mat(mC[1:2, 0:3], mm[1:2, 0:3]) # test 0-index
94    stopifnot(identical(mc[-(3:5), 0:2], mC[1:2, 0:2]),
95              identical(mt[-(3:5), 0:2], mT[1:2, 0:2]),
96              identical(mC[2:3, 4],      mm[2:3, 4]))
97    assert.EQ.mat(mC[1:2,], mm[1:2,])
98    ## sub vector
99    stopifnot(identical4(mc[-(1:4), ], mC[5, 1:7],
100                         mt[-(1:4), ], mT[5, 1:7]))
101    stopifnot(identical4(mc[-(1:4), -(2:4)], mC[5, c(1,5:7)],
102                         mt[-(1:4), -(2:4)], mT[5, c(1,5:7)]))
103    
104    ## mixing of negative and positive must give error
105    assertError(mT[-1:1,])
106    
107    ## Sub *Assignment* ---- now works (partially):
108    mt0 <- mt
109    mt[1, 4] <- -99
110    mt[2:3, 1:6] <- 0
111    mt
112    m2 <- mt+mt
113    m2[1,4] <- -200
114    m2[c(1,3), c(5:6,2)] <- 1:6
115    stopifnot(m2[1,4] == -200,
116              as.vector(m2[c(1,3), c(5:6,2)]) == 1:6)
117    mt[,3] <- 30
118    mt[2:3,] <- 250
119    mt[1:5 %% 2 == 1, 3] <- 0
120    mt[3:1, 1:7 > 5] <- 0
121    mt
122    
123    tt <- as(mt,"matrix")
124    ii <- c(0,2,5)
125    jj <- c(2:3,5)
126    tt[ii, jj] <- 1:6 # 0 is just "dropped"
127    mt[ii, jj] <- 1:6
128    assert.EQ.mat(mt, tt)
129    
130    mt[1:5, 2:6]
131    as((mt0 - mt)[1:5,], "dsparseMatrix")# [1,5] and lines 2:3
132    
133    mt[c(2,4), ] <- 0
134    mt[2:3, 4:7] <- 33
135    validObject(mt)
136    mt
137    
138    mc[1,4] <- -99
139    mc[-1, 3] <- -2:1 # 0 should not be entered; 'value' recycled
140    mt[-1, 3] <- -2:1
141    stopifnot(mc@x != 0, mt@x != 0)
142    mc[1:5 %% 2 == 0, 3] <- 0
143    validObject(mc)
144    mc
145    mc[ii, jj] <- 1:6
146    mc[c(2,5), c(3,5)] <- 3.2
147    validObject(mc)
148    mc
149    
150    cat('Time elapsed: ', proc.time(),'\n') # for ``statistical reasons''

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