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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 687, Fri Apr 1 07:36:09 2005 UTC revision 1374, Tue Aug 15 18:17:44 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  m <- Matrix(1:28, nrow = 7)  ### Dense Matrices
8    
9  ## TODO: not yet for dense matrices  m <- Matrix(1:28, nrow = 7)
10    validObject(m) ; m@x <- as.double(m@x) ; validObject(m)
11    stopifnot(identical(m, m[]),
12              identical(m[2, 3],  16), # simple number
13              identical(m[2, 3:4], c(16,23))) # simple numeric of length 2
14    
15    m[2, 3:4, drop=FALSE] # sub matrix of class 'dgeMatrix'
16    m[-(4:7), 3:4]        # dito; the upper right corner of 'm'
17    
18    ## rows or columns only:
19    m[1,]     # first row, as simple numeric vector
20    m[,2]     # 2nd column
21    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
23    m[integer(0),] #-> 0 x 4 Matrix
24    m[2:4, numeric(0)] #-> 3 x 0 Matrix
25    
26    ## logical indexing
27    stopifnot(identical(m[2,3], m[(1:nrow(m)) == 2, (1:ncol(m)) == 3]),
28              identical(m[2,], m[(1:nrow(m)) == 2, ]),
29              identical(m[,3:4], m[, (1:4) >= 3]))
30    
31    ## dimnames indexing:
32    mn <- m
33    dimnames(mn) <- list(paste("r",letters[1:nrow(mn)],sep=""),
34                         LETTERS[1:ncol(mn)])
35    mn["rd", "D"]
36    stopifnot(identical(mn["rc", "D"], mn[3,4]), mn[3,4] == 24,
37              identical(mn[, "A"], mn[,1]), mn[,1] == 1:7,
38              identical(mn[c("re", "rb"), "B"], mn[c(5,2), 2])
39              )
40    
41    mo <- m
42    m[2,3] <- 100
43    m[1:2, 4] <- 200
44    m[, 1] <- -1
45    m[1:3,]
46    
47    g10 <- m [ m > 10 ]
48    stopifnot(18 == length(g10))
49    ## needs R >= 2.3.0 [Buglet in R(<= 2.2.1)'s possibleExtends()]:
50    stopifnot(10 == length(m[ m <= 10 ]))
51    
52    
53  ### Sparse Matrices  ### Sparse Matrices --------------------------------------
54    
55  m <- 1:800  m <- 1:800
56  set.seed(101) ; m[sample(800, 600)] <- 0  set.seed(101) ; m[sample(800, 600)] <- 0
# Line 25  Line 65 
65  mC[,1]  mC[,1]
66  mC[1:2,]  mC[1:2,]
67  mC[7, drop = FALSE]  mC[7, drop = FALSE]
68    assert.EQ.mat(mC[1:2,], mm[1:2,])
69  mT[,c(2,4)]  stopifnot(all.equal(mC[,3],   mm[,3]))
70  mT[1,]  assert.EQ.mat(mC[7, , drop=FALSE], mm[7, , drop=FALSE])
71  mT[4, drop = FALSE]  
72    stopifnot(dim(mC[numeric(0), ]) == c(0,20), # used to give warnings
73              dim(mC[, integer(0)]) == c(40,0),
74              identical(mC[, integer(0)], mC[, FALSE]),
75              identical(mC[7,  drop = FALSE],
76                        mC[7,, drop = FALSE]))
77    validObject(print(mT[,c(2,4)]))
78    stopifnot(all.equal(mT[2,], mm[2,]),
79              ## row or column indexing in combination with t() :
80              identical(mT[2,], t(mT)[,2]),
81              identical(mT[-2,], t(t(mT)[,-2])),
82              identical(mT[c(2,5),], t(t(mT)[,c(2,5)]))
83              )
84    assert.EQ.mat(mT[4,, drop = FALSE], mm[4,, drop = FALSE])
85  stopifnot(identical3(mm[,1], mC[,1], mT[,1]),  stopifnot(identical3(mm[,1], mC[,1], mT[,1]),
86            identical3(mm[3,], mC[3,], mT[3,]),            identical3(mm[3,], mC[3,], mT[3,]),
87            identical3(mT[2,3], mC[2,3], 0),            identical3(mT[2,3], mC[2,3], 0),
88            identical(mT[], mT),            identical(mT[], mT),
89            ## TODO: identical4() with  m[c(3,7), 2:4]            ## TODO: identical4() with  m[c(3,7), 2:4] - fail because of 'dimnames'
90            identical3(as(mC[c(3,7), 2:4],"matrix"), mm[c(3,7), 2:4],            ## TODO: identical3() with as(mC[c(3,7), 2:4],"matrix"),
91                       as(mT[c(3,7), 2:4],"matrix")))            ##       fails because of 'dimnames'
92              identical(mm[c(3,7), 2:4], as(mT[c(3,7), 2:4],"matrix"))
93              )
94    
95    x.x <- crossprod(mC)
96    stopifnot(class(x.x) == "dsCMatrix",
97              class(x.x. <- round(x.x / 10000)) == "dsCMatrix")
98    head(x.x.) # Note the *non*-structural 0's printed as "0"
99    ## FIXME (once we require 2.4.x or higher):
100    ##  tail(x.x., -2) # the last two lines
101    
102    lx.x <- as(x.x, "lsCMatrix") # FALSE only for "structural" 0
103    if(FALSE) { ## FIXME: needs coercion  "lsCMatrix" to "lgTMatrix"
104        lx.x[1:10, 1:10]
105        lx.x[1:3, ]
106    }
107    
108    ## --- negative indices ----------
109    mc <- mC[1:5, 1:7]
110    mt <- mT[1:5, 1:7]
111    ## sub matrix
112    assert.EQ.mat(mC[1:2, 0:3], mm[1:2, 0:3]) # test 0-index
113    stopifnot(identical(mc[-(3:5), 0:2], mC[1:2, 0:2]),
114              identical(mt[-(3:5), 0:2], mT[1:2, 0:2]),
115              identical(mC[2:3, 4],      mm[2:3, 4]))
116    assert.EQ.mat(mC[1:2,], mm[1:2,])
117    ## sub vector
118    stopifnot(identical4(mc[-(1:4), ], mC[5, 1:7],
119                         mt[-(1:4), ], mT[5, 1:7]))
120    stopifnot(identical4(mc[-(1:4), -(2:4)], mC[5, c(1,5:7)],
121                         mt[-(1:4), -(2:4)], mT[5, c(1,5:7)]))
122    
123    ## mixing of negative and positive must give error
124    assertError(mT[-1:1,])
125    
126    ## Sub *Assignment* ---- now works (partially):
127    mt0 <- mt
128    mt[1, 4] <- -99
129    mt[2:3, 1:6] <- 0
130    mt
131    m2 <- mt+mt
132    m2[1,4] <- -200
133    m2[c(1,3), c(5:6,2)] <- 1:6
134    stopifnot(m2[1,4] == -200,
135              as.vector(m2[c(1,3), c(5:6,2)]) == 1:6)
136    mt[,3] <- 30
137    mt[2:3,] <- 250
138    mt[1:5 %% 2 == 1, 3] <- 0
139    mt[3:1, 1:7 > 5] <- 0
140    mt
141    
142    tt <- as(mt,"matrix")
143    ii <- c(0,2,5)
144    jj <- c(2:3,5)
145    tt[ii, jj] <- 1:6 # 0 is just "dropped"
146    mt[ii, jj] <- 1:6
147    assert.EQ.mat(mt, tt)
148    
149    mt[1:5, 2:6]
150    as((mt0 - mt)[1:5,], "dsparseMatrix")# [1,5] and lines 2:3
151    
152    mt[c(2,4), ] <- 0; stopifnot(as(mt[c(2,4), ],"matrix") == 0)
153    mt[2:3, 4:7] <- 33
154    validObject(mt)
155    mt
156    
157    mc[1,4] <- -99 ; stopifnot(mc[1,4] == -99)
158    mc[1,4] <-  00 ; stopifnot(mc[1,4] ==  00)
159    mc[1,4] <- -99 ; stopifnot(mc[1,4] == -99)
160    mc[1:2,4:3] <- 4:1; stopifnot(as.matrix(mc[1:2,4:3]) == 4:1)
161    
162    mc[-1, 3] <- -2:1 # 0 should not be entered; 'value' recycled
163    mt[-1, 3] <- -2:1
164    stopifnot(mc@x != 0, mt@x != 0,
165              mc[-1,3] == -2:1, mt[-1,3] == -2:1) ##--> BUG -- fixed
166    
167    ev <- 1:5 %% 2 == 0
168    mc[ev, 3] <- 0:1
169    if(FALSE)## FIXME
170     stopifnot(mc[ev, 3] == 0:1) ##-> BUG  {very peculiar; the 2nd time it works ...}
171    validObject(mc)
172    mc # now shows a non-structural zeros
173    mc[ii, jj] <- 1:6
174    mc[c(2,5), c(3,5)] <- 3.2
175    validObject(mc)
176    (m. <- mc)
177    if(FALSE)## FIXME:
178     mc[4,] <- 0 # -> error -- another Bug
179    
180    H <- Hilbert(9)
181    Hc <- as(round(H, 3), "dsCMatrix")# a sparse matrix with no 0 ...
182    (trH <- tril(Hc[1:5, 1:5]))
183    stopifnot(is(trH, "triangularMatrix"), trH@uplo == "L")
184    
185    i <- c(1:2, 4, 6:7); j <- c(2:4,6)
186    H[i,j] <- 0
187    (H. <- round(as(H, "sparseMatrix"), 3)[ , 2:7])
188    Hc. <- Hc
189    Hc.[i,j] <- 0 ## now "works", but setting "non-structural" 0s
190    stopifnot(as.matrix(Hc.[i,j]) == 0)
191    Hc.[, 1:6]
192    
193    cat('Time elapsed: ', proc.time(),'\n') # for ``statistical reasons''

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