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[matrix] Annotation of /pkg/R/Matrix.R
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Annotation of /pkg/R/Matrix.R

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1 : maechler 607 #### Toplevel ``virtual'' class "Matrix"
2 :    
3 : maechler 1331
4 :     ### Virtual coercions -- via smart "helpers" (-> ./Auxiliaries.R)
5 :    
6 : maechler 1799 setAs("Matrix", "sparseMatrix", function(from) as(from, "CsparseMatrix"))
7 :     setAs("Matrix", "CsparseMatrix", function(from) as_Csparse(from))
8 : maechler 1331 setAs("Matrix", "denseMatrix", function(from) as_dense(from))
9 :    
10 : maechler 1799 ## Maybe TODO:
11 :     ## setAs("Matrix", "nMatrix", function(from) ....)
12 :    
13 : maechler 1618 ## Most of these work; this is a last resort:
14 : maechler 1548 setAs(from = "Matrix", to = "matrix", # do *not* call base::as.matrix() here:
15 :     function(from) .bail.out.2("coerce", class(from), class(to)))
16 : maechler 1618 setAs(from = "matrix", to = "Matrix", function(from) Matrix(from))
17 : maechler 1548
18 : maechler 956 ## ## probably not needed eventually:
19 :     ## setAs(from = "ddenseMatrix", to = "matrix",
20 :     ## function(from) {
21 :     ## if(length(d <- dim(from)) != 2) stop("dim(.) has not length 2")
22 :     ## array(from@x, dim = d, dimnames = dimnames(from))
23 :     ## })
24 : maechler 607
25 : maechler 676 ## should propagate to all subclasses:
26 : maechler 658 setMethod("as.matrix", signature(x = "Matrix"), function(x) as(x, "matrix"))
27 : maechler 956 ## for 'Matrix' objects, as.array() should be equivalent:
28 :     setMethod("as.array", signature(x = "Matrix"), function(x) as(x, "matrix"))
29 : maechler 658
30 : maechler 1347 ## head and tail apply to all Matrix objects for which subscripting is allowed:
31 : maechler 1513 setMethod("head", signature(x = "Matrix"), utils::head.matrix)
32 :     setMethod("tail", signature(x = "Matrix"), utils::tail.matrix)
33 : maechler 1390
34 : maechler 1751 setMethod("drop", signature(x = "Matrix"),
35 :     function(x) if(all(dim(x) != 1)) x else drop(as(x, "matrix")))
36 :    
37 : maechler 956 ## slow "fall back" method {subclasses should have faster ones}:
38 :     setMethod("as.vector", signature(x = "Matrix", mode = "missing"),
39 : maechler 1331 function(x) as.vector(as(x, "matrix")))
40 : maechler 956
41 : maechler 1389 ## mainly need these for "dMatrix" or "lMatrix" respectively, but why not general:
42 :     setMethod("as.numeric", signature(x = "Matrix"),
43 :     function(x, ...) as.numeric(as.vector(x)))
44 :     setMethod("as.logical", signature(x = "Matrix"),
45 :     function(x, ...) as.logical(as.vector(x)))
46 : maechler 956
47 : maechler 1389
48 : maechler 1467 ## "base" has an isSymmetric() S3-generic since R 2.3.0
49 : maechler 1108 setMethod("isSymmetric", signature(object = "symmetricMatrix"),
50 : maechler 973 function(object,tol) TRUE)
51 : maechler 1108 setMethod("isSymmetric", signature(object = "triangularMatrix"),
52 : maechler 1174 ## TRUE iff diagonal:
53 :     function(object,tol) isDiagonal(object))
54 : maechler 1189
55 : maechler 1165 setMethod("isTriangular", signature(object = "triangularMatrix"),
56 : maechler 1238 function(object, ...) TRUE)
57 : maechler 1165
58 : maechler 1238 setMethod("isTriangular", signature(object = "matrix"), isTriMat)
59 :    
60 : maechler 1174 setMethod("isDiagonal", signature(object = "matrix"), .is.diagonal)
61 : maechler 886
62 : maechler 1174
63 :    
64 : maechler 579 setMethod("dim", signature(x = "Matrix"),
65 : maechler 698 function(x) x@Dim, valueClass = "integer")
66 : maechler 1705
67 : maechler 1738 setMethod("length", "Matrix", function(x) prod(dim(x)))
68 :    
69 : maechler 579 setMethod("dimnames", signature(x = "Matrix"), function(x) x@Dimnames)
70 : maechler 1705
71 :    
72 : maechler 607 ## not exported but used more than once for "dimnames<-" method :
73 :     ## -- or do only once for all "Matrix" classes ??
74 :     dimnamesGets <- function (x, value) {
75 :     d <- dim(x)
76 :     if (!is.list(value) || length(value) != 2 ||
77 : maechler 698 !(is.null(v1 <- value[[1]]) || length(v1) == d[1]) ||
78 :     !(is.null(v2 <- value[[2]]) || length(v2) == d[2]))
79 :     stop(sprintf("invalid dimnames given for '%s' object", class(x)))
80 : maechler 607 x@Dimnames <- list(if(!is.null(v1)) as.character(v1),
81 : maechler 698 if(!is.null(v2)) as.character(v2))
82 : maechler 607 x
83 :     }
84 :     setMethod("dimnames<-", signature(x = "Matrix", value = "list"),
85 : maechler 698 dimnamesGets)
86 : maechler 579
87 : maechler 658 setMethod("unname", signature("Matrix", force="missing"),
88 : maechler 698 function(obj) { obj@Dimnames <- list(NULL,NULL); obj})
89 : maechler 607
90 : maechler 1705 setMethod("all", signature(x = "Matrix"),
91 : maechler 1738 function(x, ..., na.rm) { x <- as(x, "lMatrix"); callGeneric()})
92 : maechler 1705 setMethod("any", signature(x = "Matrix"),
93 : maechler 1738 function(x, ..., na.rm) { x <- as(x, "lMatrix"); callGeneric()})
94 : maechler 1705
95 : maechler 1747 setMethod("!", "Matrix", function(e1) !as(e1, "lMatrix"))
96 : maechler 1705
97 :    
98 : maechler 1747
99 : bates 10 Matrix <-
100 : maechler 954 function (data = NA, nrow = 1, ncol = 1, byrow = FALSE, dimnames = NULL,
101 : maechler 1455 sparse = NULL, forceCheck = FALSE)
102 : bates 10 {
103 : maechler 1665 sparseDefault <- function(m) prod(dim(m)) > 2*sum(isN0(as(m, "matrix")))
104 : maechler 954
105 :     i.M <- is(data, "Matrix")
106 : maechler 1618
107 :     if(is.null(sparse1 <- sparse) && (i.M || is(data, "matrix")))
108 : maechler 1174 sparse <- sparseDefault(data)
109 : maechler 954
110 : maechler 1455 doDN <- TRUE
111 : maechler 1551 if (i.M) {
112 : maechler 1751 if(!missing(nrow) || !missing(ncol)|| !missing(byrow))
113 :     warning("'nrow', 'ncol', etc, are disregarded when 'data' is \"Matrix\" already")
114 : maechler 1174 sM <- is(data,"sparseMatrix")
115 : maechler 1551 if(!forceCheck && ((sparse && sM) || (!sparse && !sM)))
116 : maechler 1174 return(data)
117 :     ## else : convert dense <-> sparse -> at end
118 : maechler 954 }
119 :     else if (!is.matrix(data)) { ## cut & paste from "base::matrix" :
120 : maechler 698 if (missing(nrow))
121 :     nrow <- ceiling(length(data)/ncol)
122 :     else if (missing(ncol))
123 :     ncol <- ceiling(length(data)/nrow)
124 : maechler 1618 if(length(data) == 1 && is0(data) && !identical(sparse, FALSE)) {
125 :     ## Matrix(0, ...) : always sparse unless "sparse = FALSE":
126 :     if(is.null(sparse)) sparse1 <- sparse <- TRUE
127 : maechler 1315 ## will be sparse: do NOT construct full matrix!
128 :     data <- new(if(is.numeric(data)) "dgTMatrix" else
129 :     if(is.logical(data)) "lgTMatrix" else
130 :     stop("invalid 'data'"),
131 :     Dim = as.integer(c(nrow,ncol)),
132 : maechler 1332 Dimnames = if(is.null(dimnames)) list(NULL,NULL)
133 :     else dimnames)
134 : maechler 1315 } else { ## normal case
135 :     data <- .Internal(matrix(data, nrow, ncol, byrow))
136 :     if(is.null(sparse))
137 :     sparse <- sparseDefault(data)
138 :     dimnames(data) <- dimnames
139 :     }
140 : maechler 1455 doDN <- FALSE
141 : maechler 1751 } else if(!missing(nrow) || !missing(ncol)|| !missing(byrow))
142 : maechler 1747 warning("'nrow', 'ncol', etc, are disregarded for matrix 'data'")
143 :    
144 : maechler 1455 ## 'data' is now a "matrix" or "Matrix"
145 :     if (doDN && !is.null(dimnames))
146 : maechler 1189 dimnames(data) <- dimnames
147 : maechler 954
148 : maechler 1174 ## check for symmetric / triangular / diagonal :
149 :     isSym <- isSymmetric(data)
150 :     if((isTri <- !isSym))
151 :     isTri <- isTriangular(data)
152 :     isDiag <- isSym # cannot be diagonal if it isn't symmetric
153 :     if(isDiag)
154 :     isDiag <- isDiagonal(data)
155 :    
156 :     ## Find proper matrix class 'cl'
157 :     cl <-
158 : maechler 1618 if(isDiag && !isTRUE(sparse1))
159 : maechler 1174 "diagonalMatrix" # -> will automatically check for type
160 :     else {
161 :     ## consider it's type
162 :     ctype <-
163 :     if(is(data,"Matrix")) class(data)
164 :     else {
165 :     if("complex" == (ctype <- typeof(data)))
166 :     "z" else ctype
167 :     }
168 :     ctype <- substr(ctype, 1,1) # "d", "l", "i" or "z"
169 :     if(ctype == "z")
170 :     stop("complex matrices not yet implemented in Matrix package")
171 :     if(ctype == "i") {
172 :     warning("integer matrices not yet implemented in 'Matrix'; ",
173 :     "using 'double' ones'")
174 :     ctype <- "d"
175 :     }
176 :     paste(ctype,
177 :     if(sparse) {
178 :     if(isSym) "sCMatrix" else
179 :     if(isTri) "tCMatrix" else "gCMatrix"
180 :     } else { ## dense
181 :     if(isSym) "syMatrix" else
182 :     if(isTri) "trMatrix" else "geMatrix"
183 :     }, sep="")
184 :     }
185 :    
186 :     ## Now coerce and return
187 :     as(data, cl)
188 : bates 10 }
189 :    
190 : bates 683 ## Methods for operations where one argument is numeric
191 : maechler 512
192 : maechler 698 ## Using as.matrix() and rbind()
193 :     ## in order to get dimnames from names {at least potentially}:
194 :    
195 : bates 683 setMethod("%*%", signature(x = "Matrix", y = "numeric"),
196 : maechler 698 function(x, y) callGeneric(x, as.matrix(y)))
197 : bates 683
198 :     setMethod("%*%", signature(x = "numeric", y = "Matrix"),
199 : maechler 1660 function(x, y) callGeneric(matrix(x, nrow = 1, byrow=TRUE), y))
200 : bates 683
201 :     setMethod("crossprod", signature(x = "Matrix", y = "numeric"),
202 : maechler 698 function(x, y = NULL) callGeneric(x, as.matrix(y)))
203 : bates 683 setMethod("crossprod", signature(x = "numeric", y = "Matrix"),
204 : maechler 1331 function(x, y = NULL) callGeneric(as.matrix(x), y))
205 : bates 683
206 : maechler 1331 ## The as.matrix() promotion seems illogical to MM,
207 :     ## but is according to help(tcrossprod, package = "base") :
208 :     setMethod("tcrossprod", signature(x = "Matrix", y = "numeric"),
209 :     function(x, y = NULL) callGeneric(x, as.matrix(y)))
210 :     setMethod("tcrossprod", signature(x = "numeric", y = "Matrix"),
211 :     function(x, y = NULL) callGeneric(as.matrix(x), y))
212 :    
213 : maechler 1665 ## maybe not optimal
214 :     setMethod("solve", signature(a = "Matrix", b = "missing"),
215 :     function(a, b, ...) solve(a, Diagonal(nrow(a))))
216 :    
217 : bates 683 setMethod("solve", signature(a = "Matrix", b = "numeric"),
218 : maechler 698 function(a, b, ...) callGeneric(a, as.matrix(b)))
219 : maechler 1659 ## when no sub-class method is found, bail out
220 :     setMethod("solve", signature(a = "Matrix", b = "matrix"),
221 :     function(a, b, ...) .bail.out.2("solve", class(a), "matrix"))
222 : maechler 1747 setMethod("solve", signature(a = "Matrix", b = "Matrix"),
223 :     function(a, b, ...) .bail.out.2("solve", class(a), class(b)))
224 : maechler 848
225 : maechler 925 ## bail-out methods in order to get better error messages
226 :     setMethod("%*%", signature(x = "Matrix", y = "Matrix"),
227 :     function (x, y)
228 :     stop(gettextf('not-yet-implemented method for <%s> %%*%% <%s>',
229 :     class(x), class(y))))
230 : maechler 946
231 : maechler 925 setMethod("crossprod", signature(x = "Matrix", y = "ANY"),
232 : maechler 946 function (x, y = NULL) .bail.out.2(.Generic, class(x), class(y)))
233 : maechler 956 setMethod("crossprod", signature(x = "ANY", y = "Matrix"),
234 :     function (x, y = NULL) .bail.out.2(.Generic, class(x), class(y)))
235 : maechler 1331 setMethod("tcrossprod", signature(x = "Matrix", y = "ANY"),
236 :     function (x, y = NULL) .bail.out.2(.Generic, class(x), class(y)))
237 :     setMethod("tcrossprod", signature(x = "ANY", y = "Matrix"),
238 :     function (x, y = NULL) .bail.out.2(.Generic, class(x), class(y)))
239 : maechler 925
240 : maechler 1331 ## cheap fallbacks
241 :     setMethod("crossprod", signature(x = "Matrix", y = "Matrix"),
242 :     function(x, y = NULL) t(x) %*% y)
243 :     setMethod("tcrossprod", signature(x = "Matrix", y = "Matrix"),
244 :     function(x, y = NULL) x %*% t(y))
245 :    
246 : maechler 956 ## There are special sparse methods; this is a "fall back":
247 :     setMethod("kronecker", signature(X = "Matrix", Y = "ANY",
248 :     FUN = "ANY", make.dimnames = "ANY"),
249 :     function(X, Y, FUN, make.dimnames, ...) {
250 :     X <- as(X, "matrix") ; Matrix(callGeneric()) })
251 :     setMethod("kronecker", signature(X = "ANY", Y = "Matrix",
252 :     FUN = "ANY", make.dimnames = "ANY"),
253 :     function(X, Y, FUN, make.dimnames, ...) {
254 :     Y <- as(Y, "matrix") ; Matrix(callGeneric()) })
255 :    
256 :    
257 : maechler 1654 ## FIXME: All of these should never be called
258 :     setMethod("chol", signature(x = "Matrix"),
259 :     function(x, pivot = FALSE) .bail.out.1(.Generic, class(x)))
260 :     setMethod("determinant", signature(x = "Matrix"),
261 :     function(x, logarithm = TRUE) .bail.out.1(.Generic, class(x)))
262 :    
263 : maechler 1315 setMethod("diag", signature(x = "Matrix"),
264 :     function(x, nrow, ncol) .bail.out.1(.Generic, class(x)))
265 : maechler 946 setMethod("t", signature(x = "Matrix"),
266 :     function(x) .bail.out.1(.Generic, class(x)))
267 : maechler 925
268 : maechler 1799 setMethod("dim<-", signature(x = "Matrix", value = "ANY"),
269 :     function(x, value) {
270 :     if(!is.numeric(value) || length(value) != 2)
271 :     stop("dim(.) value must be numeric of length 2")
272 :     if(prod(dim(x)) != prod(value <- as.integer(value)))
273 :     stop("dimensions don't match the number of cells")
274 :     clx <- class(x)
275 :     if(substring(clx,2) == "geMatrix") {
276 :     x@Dim <- value
277 :     if(length(x@factors) > 0)
278 :     x@factors <- list()
279 :     x
280 :     } else if(extends(clx, "denseMatrix")) {
281 :     x <- as_geSimpl2(x, clx)
282 :     dim(x) <- value
283 :     } else { ## FIXME: this is very inefficient for large sparse x
284 :     Matrix(as.vector(x), value[1], value[2])
285 :     }
286 :     })
287 :    
288 :     ## MM: More or less "Cut & paste" from
289 :     ## --- diff.default() from R/src/library/base/R/diff.R :
290 :     setMethod("diff", signature(x = "Matrix"),
291 :     function(x, lag = 1, differences = 1, ...) {
292 :     if (length(lag) > 1 || length(differences) > 1 ||
293 :     lag < 1 || differences < 1)
294 :     stop("'lag' and 'differences' must be integers >= 1")
295 :     xlen <- nrow(x)
296 :     if (lag * differences >= xlen)
297 :     return(x[,FALSE][0]) # empty of proper mode
298 :    
299 :     i1 <- -1:-lag
300 :     for (i in 1:differences)
301 :     x <- x[i1, , drop = FALSE] -
302 :     x[-nrow(x):-(nrow(x)-lag+1), , drop = FALSE]
303 :     x
304 :     })
305 :    
306 :    
307 : maechler 956 ## Group Methods
308 :    
309 : maechler 1714 ##-> see ./Ops.R
310 : maechler 1655
311 : maechler 871 ### --------------------------------------------------------------------------
312 :     ###
313 :     ### Subsetting "[" and
314 :     ### SubAssign "[<-" : The "missing" cases can be dealt with here, "at the top":
315 : maechler 868
316 : maechler 886 ## Using "index" for indices should allow
317 : maechler 875 ## integer (numeric), logical, or character (names!) indices :
318 :    
319 : maechler 868 ## "x[]":
320 :     setMethod("[", signature(x = "Matrix",
321 :     i = "missing", j = "missing", drop = "ANY"),
322 :     function (x, i, j, drop) x)
323 : maechler 1225
324 : maechler 868 ## missing 'drop' --> 'drop = TRUE'
325 :     ## -----------
326 :     ## select rows
327 : maechler 886 setMethod("[", signature(x = "Matrix", i = "index", j = "missing",
328 : maechler 868 drop = "missing"),
329 : maechler 1799 function(x,i,j, drop) {
330 :     if(nargs() == 1) { ## e.g. M[0] , M[TRUE], M[1:2]
331 :     if(any(i)) as.vector(x)[i] else as.vector(x[1,1])[FALSE]
332 :     } else callGeneric(x, i=i, drop= TRUE)})
333 :    
334 : maechler 868 ## select columns
335 : maechler 886 setMethod("[", signature(x = "Matrix", i = "missing", j = "index",
336 : maechler 868 drop = "missing"),
337 :     function(x,i,j, drop) callGeneric(x, j=j, drop= TRUE))
338 : maechler 886 setMethod("[", signature(x = "Matrix", i = "index", j = "index",
339 : maechler 868 drop = "missing"),
340 :     function(x,i,j, drop) callGeneric(x, i=i, j=j, drop= TRUE))
341 :    
342 : maechler 875 ## bail out if any of (i,j,drop) is "non-sense"
343 :     setMethod("[", signature(x = "Matrix", i = "ANY", j = "ANY", drop = "ANY"),
344 :     function(x,i,j, drop)
345 :     stop("invalid or not-yet-implemented 'Matrix' subsetting"))
346 :    
347 : maechler 1472 ## logical indexing, such as M[ M >= 7 ] *BUT* also M[ M[,1] >= 3,],
348 :     ## The following is *both* for M [ <logical> ]
349 :     ## and also for M [ <logical> , ]
350 :     .M.sub.i.logical <- function (x, i, j, drop)
351 :     {
352 :     nA <- nargs()
353 :     if(nA == 2) { ## M [ M >= 7 ]
354 : maechler 1673 ## FIXME: when both 'x' and 'i' are sparse, this can be very inefficient
355 : maechler 1472 as(x, geClass(x))@x[as.vector(i)]
356 :     ## -> error when lengths don't match
357 :     } else if(nA == 3) { ## M [ M[,1, drop=FALSE] >= 7, ]
358 :     stop("not-yet-implemented 'Matrix' subsetting") ## FIXME
359 :    
360 :     } else stop("nargs() = ", nA,
361 : maechler 1747 ". Extraneous illegal arguments inside '[ .. ]' ?")
362 : maechler 1472 }
363 : maechler 1225 setMethod("[", signature(x = "Matrix", i = "lMatrix", j = "missing",
364 :     drop = "ANY"),
365 : maechler 1472 .M.sub.i.logical)
366 : maechler 1225 setMethod("[", signature(x = "Matrix", i = "logical", j = "missing",
367 :     drop = "ANY"),
368 : maechler 1472 .M.sub.i.logical)
369 : maechler 1225
370 :    
371 : maechler 1673 ## A[ ij ] where ij is (i,j) 2-column matrix :
372 :     .M.sub.i.2col <- function (x, i, j, drop)
373 :     {
374 :     nA <- nargs()
375 :     if(nA == 2) { ## M [ cbind(ii,jj) ]
376 :     if(!is.integer(nc <- ncol(i)))
377 :     stop("'i' has no integer column number",
378 :     " should never happen; please report")
379 :     if(is.logical(i))
380 :     return(.M.sub.i.logical(x,i,j,drop))
381 :     else if(!is.numeric(i) || nc != 2)
382 :     stop("such indexing must be by logical or 2-column numeric matrix")
383 :     m <- nrow(i)
384 :     if(m == 0) return(vector(mode = .type.kind[.M.kind(x)]))
385 :     ## else
386 :     i1 <- i[,1]
387 :     i2 <- i[,2]
388 :     ## potentially inefficient -- FIXME --
389 :     unlist(lapply(seq_len(m), function(j) x[i1[j], i2[j]]))
390 : maechler 868
391 : maechler 1747 } else stop("nargs() = ", nA,
392 :     ". Extraneous illegal arguments inside '[ .. ]' ?")
393 : maechler 1673 }
394 :     setMethod("[", signature(x = "Matrix", i = "matrix", j = "missing"),# drop="ANY"
395 :     .M.sub.i.2col)
396 : maechler 868
397 : maechler 1472
398 : maechler 871 ### "[<-" : -----------------
399 : maechler 868
400 : maechler 871 ## x[] <- value :
401 :     setReplaceMethod("[", signature(x = "Matrix", i = "missing", j = "missing",
402 : maechler 1189 value = "ANY"),## double/logical/...
403 :     function (x, value) {
404 : maechler 1615 ## Fails for 'nMatrix' ... FIXME : make sure have method there
405 : maechler 1747 x@x <- rep(value, length = length(x@x))
406 : maechler 1615 validObject(x)# check if type and lengths above match
407 :     x
408 : maechler 1189 })
409 : maechler 871
410 : maechler 1673 ## A[ ij ] <- value, where ij is (i,j) 2-column matrix :
411 : maechler 1724 ## ---------------- The cheap general method --- FIXME: provide special ones
412 : maechler 1673 .M.repl.i.2col <- function (x, i, j, value)
413 :     {
414 :     nA <- nargs()
415 :     if(nA == 3) { ## M [ cbind(ii,jj) ] <- value
416 :     if(!is.integer(nc <- ncol(i)))
417 :     stop("'i' has no integer column number",
418 :     " should never happen; please report")
419 : maechler 1724 else if(!is.numeric(i) || nc != 2)
420 :     stop("such indexing must be by logical or 2-column numeric matrix")
421 : maechler 1673 if(is.logical(i)) {
422 : maechler 1738 message(".M.repl.i.2col(): drop 'matrix' case ...")
423 : maechler 1673 i <- c(i) # drop "matrix"
424 :     return( callNextMethod() )
425 : maechler 1724 }
426 :     if(!is.integer(i)) storage.mode(i) <- "integer"
427 :     if(any(i < 0))
428 :     stop("negative values are not allowed in a matrix subscript")
429 :     if(any(is.na(i)))
430 :     stop("NAs are not allowed in subscripted assignments")
431 :     if(any(i0 <- (i == 0))) # remove them
432 :     i <- i[ - which(i0, arr.ind = TRUE)[,"row"], ]
433 :     ## now have integer i >= 1
434 : maechler 1673 m <- nrow(i)
435 : maechler 1724 ## mod.x <- .type.kind[.M.kind(x)]
436 : maechler 1673 if(length(value) > 0 && m %% length(value) != 0)
437 :     warning("number of items to replace is not a multiple of replacement length")
438 :     ## recycle:
439 :     value <- rep(value, length = m)
440 :     i1 <- i[,1]
441 :     i2 <- i[,2]
442 :     ## inefficient -- FIXME -- (also loses "symmetry" unnecessarily)
443 :     for(k in seq_len(m))
444 :     x[i1[k], i2[k]] <- value[k]
445 : maechler 1724
446 : maechler 1673 x
447 : maechler 1747 } else stop("nargs() = ", nA,
448 :     ". Extraneous illegal arguments inside '[ .. ]' ?")
449 : maechler 1673 }
450 : maechler 1724
451 : maechler 1673 setReplaceMethod("[", signature(x = "Matrix", i = "matrix", j = "missing",
452 :     value = "replValue"),
453 :     .M.repl.i.2col)
454 :    
455 :    
456 : maechler 1615 setReplaceMethod("[", signature(x = "Matrix", i = "ANY", j = "ANY",
457 :     value = "Matrix"),
458 : maechler 1705 function (x, i, j, value) {
459 : maechler 1724 ### *TEMPORARY* diagnostic output:
460 :     ## cat("<Matrix1>[i,j] <- <Matrix1>:\n<Matrix1> = x :")
461 :     ## str(x)
462 :     ## cat("<Matrix2> = value :")
463 :     ## str(value)
464 :     ## cat("i :"); if(!missing(i)) str(i) else cat("<missing>\n")
465 :     ## cat("j :"); if(!missing(j)) str(j) else cat("<missing>\n")
466 : maechler 1705
467 :     callGeneric(x=x, i=i, j=j, value = as.vector(value))
468 :     })
469 :     setReplaceMethod("[", signature(x = "Matrix", i = "ANY", j = "ANY",
470 :     value = "Matrix"),
471 : maechler 1615 function (x, i, j, value)
472 :     callGeneric(x=x, i=i, j=j, value = as.vector(value)))
473 : maechler 1705
474 : maechler 1615 setReplaceMethod("[", signature(x = "Matrix", i = "ANY", j = "ANY",
475 :     value = "matrix"),
476 :     function (x, i, j, value)
477 :     callGeneric(x=x, i=i, j=j, value = c(value)))
478 :    
479 : maechler 1189 ## (ANY,ANY,ANY) is used when no `real method' is implemented :
480 : maechler 871 setReplaceMethod("[", signature(x = "Matrix", i = "ANY", j = "ANY",
481 :     value = "ANY"),
482 : maechler 1189 function (x, i, j, value) {
483 :     if(!is.atomic(value))
484 : maechler 1615 stop(sprintf("RHS 'value' (class %s) matches 'ANY', but must match matrix class %s",
485 :     class(value),class(x)))
486 : maechler 1189 else stop("not-yet-implemented 'Matrix[<-' method")
487 :     })

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