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

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Original Path: pkg/R/diagMatrix.R

1 : maechler 1617 #### All methods for "diagonalMatrix" and its subclasses,
2 :     #### currently "ddiMatrix", "ldiMatrix"
3 :    
4 : maechler 1109 ## Purpose: Constructor of diagonal matrices -- ~= diag() ,
5 :     ## but *not* diag() extractor!
6 :     Diagonal <- function(n, x = NULL)
7 :     {
8 : maechler 1575 ## Allow Diagonal(4) and Diagonal(x=1:5)
9 : maechler 1109 if(missing(n))
10 : maechler 1575 n <- length(x)
11 : maechler 1109 else {
12 : maechler 1575 stopifnot(length(n) == 1, n == as.integer(n), n >= 0)
13 :     n <- as.integer(n)
14 : maechler 1109 }
15 :    
16 : maechler 1654 if(missing(x)) ## unit diagonal matrix
17 : maechler 1575 new("ddiMatrix", Dim = c(n,n), diag = "U")
18 : maechler 1109 else {
19 : maechler 2128 lx <- length(x)
20 :     stopifnot(lx == 1 || lx == n) # but keep 'x' short for now
21 : maechler 1575 if(is.logical(x))
22 :     cl <- "ldiMatrix"
23 :     else if(is.numeric(x)) {
24 :     cl <- "ddiMatrix"
25 :     x <- as.numeric(x)
26 :     }
27 :     else if(is.complex(x)) {
28 :     cl <- "zdiMatrix" # will not yet work
29 :     } else stop("'x' has invalid data type")
30 : maechler 2128 new(cl, Dim = c(n,n), diag = "N",
31 :     x = if(lx == 1) rep.int(x,n) else x)
32 : maechler 1109 }
33 :     }
34 :    
35 : mmaechler 2226 .sparseDiagonal <- function(n, x = rep.int(1,n), uplo = "U", shape = "t") {
36 : maechler 2144 stopifnot(n == (n. <- as.integer(n)), (n <- n.) >= 0)
37 :     if((lx <- length(x)) == 1) x <- rep.int(x, n)
38 :     else if(lx != n) stop("length(x) must be 1 or n")
39 : mmaechler 2226 stopifnot(is.character(shape), nchar(shape) == 1,
40 :     any(shape == c("t","s","g"))) # triangular / symmetric / general
41 :     kind <-
42 :     if(is.double(x)) "d"
43 :     else if(is.logical(x)) "l"
44 :     else { ## for now
45 :     storage.mode(x) <- "double"
46 :     "d"
47 :     }
48 :     new(paste(kind, shape, "CMatrix", sep=''),
49 :     Dim = c(n,n), x = x, uplo = uplo,
50 :     i = if(n) 0:(n - 1L) else integer(0), p = 0:n)
51 : maechler 2144 }
52 :    
53 : mmaechler 2226 ## Pkg 'spdep' had (relatively slow) versions of this as_dsCMatrix_I()
54 :     .symDiagonal <- function(n, x = rep.int(1,n), uplo = "U")
55 :     .sparseDiagonal(n, x, uplo, shape = "s")
56 :    
57 :     ## instead of diagU2N(as(Diagonal(n), "CsparseMatrix")), diag = "N" in any case:
58 :     .trDiagonal <- function(n, x = rep.int(1,n), uplo = "U")
59 :     .sparseDiagonal(n, x, uplo, shape = "t")
60 :    
61 :    
62 : maechler 1617 ### This is modified from a post of Bert Gunter to R-help on 1 Sep 2005.
63 :     ### Bert's code built on a post by Andy Liaw who most probably was influenced
64 :     ### by earlier posts, notably one by Scott Chasalow on S-news, 16 Jan 2002
65 :     ### who posted his bdiag() function written in December 1995.
66 : mmaechler 2209 if(FALSE)##--- no longer used:
67 : mmaechler 2206 .bdiag <- function(lst) {
68 :     ### block-diagonal matrix [a dgTMatrix] from list of matrices
69 :     stopifnot(is.list(lst), length(lst) >= 1)
70 :     dims <- sapply(lst, dim, USE.NAMES=FALSE)
71 : maechler 1617 ## make sure we had all matrices:
72 :     if(!(is.matrix(dims) && nrow(dims) == 2))
73 :     stop("some arguments are not matrices")
74 : maechler 1845 csdim <- rbind(rep.int(0L, 2),
75 : mmaechler 2206 apply(dims, 1, cumsum))
76 :     r <- new("dgTMatrix")
77 :     r@Dim <- as.integer(csdim[nrow(csdim),])
78 : maechler 1617 add1 <- matrix(1:0, 2,2)
79 : mmaechler 2206 for(i in seq_along(lst)) {
80 : maechler 1617 indx <- apply(csdim[i:(i+1),] + add1, 2, function(n) n[1]:n[2])
81 :     if(is.null(dim(indx))) ## non-square matrix
82 : mmaechler 2206 r[indx[[1]],indx[[2]]] <- lst[[i]]
83 : maechler 1617 else ## square matrix
84 : mmaechler 2206 r[indx[,1], indx[,2]] <- lst[[i]]
85 : maechler 1617 }
86 : mmaechler 2206 r
87 : maechler 1617 }
88 : mmaechler 2209 ## expand(<mer>) needed something like bdiag() for lower-triangular
89 :     ## (Tsparse) Matrices; hence Doug Bates provided a much more efficient
90 :     ## implementation for those; now extended and generalized:
91 : mmaechler 2206 .bdiag <- function(lst) {
92 : mmaechler 2209 ## block-diagonal matrix [a dgTMatrix] from list of matrices
93 : mmaechler 2206 stopifnot(is.list(lst), (nl <- length(lst)) >= 1)
94 : maechler 1617
95 : mmaechler 2206 Tlst <- lapply(lapply(lst, Matrix:::as_Csp2), # includes "diagU2N"
96 : mmaechler 2209 as, "TsparseMatrix")
97 : mmaechler 2206 if(nl == 1) return(Tlst[[1]])
98 :     ## else
99 :     i_off <- c(0L, cumsum(sapply(Tlst, nrow)))
100 :     j_off <- c(0L, cumsum(sapply(Tlst, ncol)))
101 : mmaechler 2209
102 :     clss <- sapply(Tlst, class)
103 :     knds <- substr(clss, 2, 2)
104 :     sym <- knds == "s" # symmetric ones
105 :     tri <- knds == "t" # triangular ones
106 :     use.n <- any(is.n <- substr(clss,1,1) == "n")
107 :     if(use.n && !(use.n <- all(is.n)))
108 :     Tlst[is.n] <- lapply(Tlst[is.n], as, "lMatrix")
109 :     if(all(sym)) { ## result should be *symmetric*
110 :     uplos <- sapply(Tlst, slot, "uplo") ## either "U" or "L"
111 :     tLU <- table(uplos)# of length 1 or 2 ..
112 :     if(length(tLU) == 1) { ## all "U" or all "L"
113 :     useU <- uplos[1] == "U"
114 :     } else { ## length(tLU) == 2, counting "L" and "U"
115 :     useU <- diff(tLU) >= 0
116 :     if(useU && (hasL <- tLU[1] > 0))
117 :     Tlst[hasL] <- lapply(Tlst[hasL], t)
118 :     else if(!useU && (hasU <- tLU[2] > 0))
119 :     Tlst[hasU] <- lapply(Tlst[hasU], t)
120 :     }
121 :     if(use.n) { ## return nsparseMatrix :
122 :     r <- new("nsTMatrix")
123 :     } else {
124 :     r <- new("dsTMatrix")
125 :     r@x <- unlist(lapply(Tlst, slot, "x"))
126 :     }
127 :     r@uplo <- if(useU) "U" else "L"
128 :     }
129 :     else if(all(tri) && { ULs <- sapply(Tlst, slot, "uplo")## "U" or "L"
130 :     all(ULs[1L] == ULs[-1L]) } ## all upper or all lower
131 :     ){ ## *triangular* result
132 :    
133 :     if(use.n) { ## return nsparseMatrix :
134 :     r <- new("ntTMatrix")
135 :     } else {
136 :     r <- new("dtTMatrix")
137 :     r@x <- unlist(lapply(Tlst, slot, "x"))
138 :     }
139 :     r@uplo <- ULs[1L]
140 :     }
141 :     else {
142 :     if(any(sym))
143 :     Tlst[sym] <- lapply(Tlst[sym], as, "generalMatrix")
144 :     if(use.n) { ## return nsparseMatrix :
145 :     r <- new("ngTMatrix")
146 :     } else {
147 :     r <- new("dgTMatrix")
148 :     r@x <- unlist(lapply(Tlst, slot, "x"))
149 :     }
150 :     }
151 :     r@Dim <- c(i_off[nl+1], j_off[nl + 1])
152 :     r@i <- unlist(lapply(1:nl, function(k) Tlst[[k]]@i + i_off[k]))
153 :     r@j <- unlist(lapply(1:nl, function(k) Tlst[[k]]@j + j_off[k]))
154 :     r
155 : mmaechler 2206 }
156 :    
157 :     bdiag <- function(...) {
158 :     if((nA <- nargs()) == 0) return(new("dgCMatrix"))
159 :     if(nA == 1 && !is.list(...))
160 :     return(as(..., "CsparseMatrix"))
161 :     alis <- if(nA == 1 && is.list(..1)) ..1 else list(...)
162 :     if(length(alis) == 1)
163 :     return(as(alis[[1]], "CsparseMatrix"))
164 :    
165 :     ## else : two or more arguments
166 :     as(.bdiag(alis), "CsparseMatrix")
167 :     }
168 :    
169 :    
170 : maechler 2136 .diag2tT <- function(from, uplo = "U", kind = .M.kind(from)) {
171 :     ## to triangular Tsparse
172 : maechler 1845 i <- if(from@diag == "U") integer(0) else seq_len(from@Dim[1]) - 1L
173 : maechler 2136 new(paste(kind, "tTMatrix", sep=''),
174 : maechler 1654 diag = from@diag, Dim = from@Dim, Dimnames = from@Dimnames,
175 : maechler 2128 uplo = uplo,
176 : maechler 1654 x = from@x, # <- ok for diag = "U" and "N" (!)
177 :     i = i, j = i)
178 :     }
179 : maechler 1109
180 : maechler 2136 .diag2sT <- function(from, uplo = "U", kind = .M.kind(from)) {
181 :     ## to symmetric Tsparse
182 : maechler 2128 n <- from@Dim[1]
183 :     i <- seq_len(n) - 1L
184 :     new(paste(kind, "sTMatrix", sep=''),
185 : maechler 1845 Dim = from@Dim, Dimnames = from@Dimnames,
186 : maechler 2128 i = i, j = i, uplo = uplo,
187 :     x = if(from@diag == "N") from@x else ## "U"-diag
188 :     rep.int(switch(kind,
189 :     "d" = 1.,
190 :     "l" =,
191 :     "n" = TRUE,
192 :     ## otherwise
193 :     stop("'", kind,"' kind not yet implemented")), n))
194 : maechler 1845 }
195 :    
196 : maechler 2128 ## diagonal -> triangular, upper / lower depending on "partner":
197 : maechler 2144 diag2tT.u <- function(d, x, kind = .M.kind(d))
198 :     .diag2tT(d, uplo = if(is(x,"triangularMatrix")) x@uplo else "U", kind)
199 : maechler 2128
200 : mmaechler 2175 ## diagonal -> sparse {triangular OR symmetric} (upper / lower) depending on "partner":
201 :     diag2Tsmart <- function(d, x, kind = .M.kind(d)) {
202 :     clx <- getClassDef(class(x))
203 :     if(extends(clx, "symmetricMatrix"))
204 :     .diag2sT(d, uplo = x@uplo, kind)
205 :     else
206 :     .diag2tT(d, uplo = if(extends(clx,"triangularMatrix")) x@uplo else "U", kind)
207 :     }
208 : maechler 2136
209 : mmaechler 2175
210 : maechler 2136 ## In order to evade method dispatch ambiguity warnings,
211 :     ## and because we can save a .M.kind() call, we use this explicit
212 :     ## "hack" instead of signature x = "diagonalMatrix" :
213 :     ##
214 :     ## ddi*:
215 :     diag2tT <- function(from) .diag2tT(from, "U", "d")
216 :     setAs("ddiMatrix", "triangularMatrix", diag2tT)
217 :     setAs("ddiMatrix", "sparseMatrix", diag2tT)
218 : maechler 1805 ## needed too (otherwise <dense> -> Tsparse is taken):
219 : maechler 2136 setAs("ddiMatrix", "TsparseMatrix", diag2tT)
220 :     setAs("ddiMatrix", "CsparseMatrix",
221 :     function(from) as(.diag2tT(from, "U", "d"), "CsparseMatrix"))
222 :     setAs("ddiMatrix", "symmetricMatrix",
223 :     function(from) .diag2sT(from, "U", "d"))
224 :     ##
225 :     ## ldi*:
226 :     diag2tT <- function(from) .diag2tT(from, "U", "l")
227 :     setAs("ldiMatrix", "triangularMatrix", diag2tT)
228 :     setAs("ldiMatrix", "sparseMatrix", diag2tT)
229 :     ## needed too (otherwise <dense> -> Tsparse is taken):
230 :     setAs("ldiMatrix", "TsparseMatrix", diag2tT)
231 :     setAs("ldiMatrix", "CsparseMatrix",
232 :     function(from) as(.diag2tT(from, "U", "l"), "CsparseMatrix"))
233 :     setAs("ldiMatrix", "symmetricMatrix",
234 :     function(from) .diag2sT(from, "U", "l"))
235 : maechler 1654
236 : maechler 1845
237 : maechler 2128 setAs("diagonalMatrix", "nMatrix",
238 :     function(from) {
239 :     n <- from@Dim[1]
240 :     i <- if(from@diag == "U") integer(0) else which(isN0(from@x)) - 1L
241 :     new("ntTMatrix", i = i, j = i, diag = from@diag,
242 :     Dim = from@Dim, Dimnames = from@Dimnames)
243 :     })
244 :    
245 : mmaechler 2237 setAs("diagonalMatrix", "nsparseMatrix", function(from) as(from, "nMatrix"))
246 : maechler 2128
247 : mmaechler 2175 ## Cheap fast substitute for diag() which *does* preserve the mode of x :
248 :     mkDiag <- function(x, n) {
249 :     y <- matrix(as0(mod=mode(x)), n,n)
250 :     if (n > 0) y[1L + 0:(n - 1L) * (n + 1L)] <- x
251 :     y
252 :     }
253 :    
254 : maechler 1109 setAs("diagonalMatrix", "matrix",
255 :     function(from) {
256 : mmaechler 2175 ## want "ldiMatrix" -> <logical> "matrix" :
257 :     mkDiag(if(from@diag == "U") as1(from@x) else from@x,
258 :     n = from@Dim[1])
259 : maechler 1109 })
260 :    
261 : maechler 2098 setMethod("as.vector", signature(x = "diagonalMatrix", mode="missing"),
262 :     function(x, mode) {
263 :     n <- x@Dim[1]
264 : mmaechler 2175 mod.x <- mode(x@x)
265 :     r <- vector(mod.x, length = n^2)
266 : maechler 2098 if(n)
267 :     r[1 + 0:(n - 1) * (n + 1)] <-
268 : mmaechler 2175 if(x@diag == "U") as1(mod=mod.x) else x@x
269 : maechler 2098 r
270 :     })
271 :    
272 : maechler 1654 setAs("diagonalMatrix", "generalMatrix", # prefer sparse:
273 : maechler 2128 function(from) as(as(from, "CsparseMatrix"), "generalMatrix"))
274 : maechler 1174
275 : mmaechler 2185 .diag.x <- function(m) if(m@diag == "U") rep.int(as1(m@x), m@Dim[1]) else m@x
276 : maechler 1655
277 :     .diag.2N <- function(m) {
278 :     if(m@diag == "U") m@diag <- "N"
279 :     m
280 :     }
281 :    
282 : maechler 1174 setAs("ddiMatrix", "dgeMatrix",
283 : mmaechler 2183 function(from) .Call(dup_mMatrix_as_dgeMatrix, from))
284 :     setAs("ddiMatrix", "ddenseMatrix",
285 :     function(from) as(as(from, "triangularMatrix"),"denseMatrix"))
286 :     setAs("ldiMatrix", "ldenseMatrix",
287 :     function(from) as(as(from, "triangularMatrix"),"denseMatrix"))
288 : maechler 1174
289 : mmaechler 2183
290 : maechler 1109 setAs("matrix", "diagonalMatrix",
291 :     function(from) {
292 : maechler 1295 d <- dim(from)
293 : maechler 1109 if(d[1] != (n <- d[2])) stop("non-square matrix")
294 :     if(any(from[row(from) != col(from)] != 0))
295 :     stop("has non-zero off-diagonal entries")
296 : maechler 1295 x <- diag(from)
297 :     if(is.logical(x)) {
298 :     cl <- "ldiMatrix"
299 :     uni <- all(x)
300 :     } else {
301 :     cl <- "ddiMatrix"
302 :     uni <- all(x == 1)
303 :     storage.mode(x) <- "double"
304 : maechler 1575 } ## TODO: complex
305 : maechler 1295 new(cl, Dim = c(n,n), diag = if(uni) "U" else "N",
306 :     x = if(uni) x[FALSE] else x)
307 : maechler 1109 })
308 :    
309 :     ## ``generic'' coercion to diagonalMatrix : build on isDiagonal() and diag()
310 :     setAs("Matrix", "diagonalMatrix",
311 :     function(from) {
312 :     d <- dim(from)
313 :     if(d[1] != (n <- d[2])) stop("non-square matrix")
314 :     if(!isDiagonal(from)) stop("matrix is not diagonal")
315 :     ## else:
316 :     x <- diag(from)
317 :     if(is.logical(x)) {
318 :     cl <- "ldiMatrix"
319 :     uni <- all(x)
320 :     } else {
321 :     cl <- "ddiMatrix"
322 :     uni <- all(x == 1)
323 :     storage.mode(x) <- "double"
324 :     }
325 :     new(cl, Dim = c(n,n), diag = if(uni) "U" else "N",
326 :     x = if(uni) x[FALSE] else x)
327 :     })
328 :    
329 : maechler 1708
330 : mmaechler 2185 setMethod("diag", signature(x = "diagonalMatrix"),
331 :     function(x = 1, nrow, ncol) .diag.x(x))
332 : maechler 1708
333 : maechler 2098 subDiag <- function(x, i, j, ..., drop) {
334 : maechler 1799 x <- as(x, "sparseMatrix")
335 :     x <- if(missing(i))
336 :     x[, j, drop=drop]
337 :     else if(missing(j))
338 :     x[i, , drop=drop]
339 :     else
340 :     x[i,j, drop=drop]
341 : maechler 2120 if(isS4(x) && isDiagonal(x)) as(x, "diagonalMatrix") else x
342 : maechler 1799 }
343 :    
344 :     setMethod("[", signature(x = "diagonalMatrix", i = "index",
345 :     j = "index", drop = "logical"), subDiag)
346 :     setMethod("[", signature(x = "diagonalMatrix", i = "index",
347 :     j = "missing", drop = "logical"),
348 : maechler 2098 function(x, i, j, ..., drop) subDiag(x, i=i, drop=drop))
349 : maechler 1799 setMethod("[", signature(x = "diagonalMatrix", i = "missing",
350 :     j = "index", drop = "logical"),
351 : maechler 2098 function(x, i, j, ..., drop) subDiag(x, j=j, drop=drop))
352 : maechler 1799
353 : maechler 1617 ## When you assign to a diagonalMatrix, the result should be
354 : maechler 1708 ## diagonal or sparse ---
355 :     ## FIXME: this now fails because the "denseMatrix" methods come first in dispatch
356 : maechler 2098 ## Only(?) current bug: x[i] <- value is wrong when i is *vector*
357 :     replDiag <- function(x, i, j, ..., value) {
358 : maechler 1710 x <- as(x, "sparseMatrix")
359 :     if(missing(i))
360 :     x[, j] <- value
361 : maechler 2098 else if(missing(j)) { ## x[i , ] <- v *OR* x[i] <- v
362 :     na <- nargs()
363 :     ## message("diagnosing replDiag() -- nargs()= ", na)
364 :     if(na == 4)
365 :     x[i, ] <- value
366 :     else if(na == 3)
367 :     x[i] <- value
368 :     else stop("Internal bug: nargs()=",na,"; please report")
369 :     } else
370 : maechler 1710 x[i,j] <- value
371 :     if(isDiagonal(x)) as(x, "diagonalMatrix") else x
372 :     }
373 : maechler 1617
374 : maechler 1710 setReplaceMethod("[", signature(x = "diagonalMatrix", i = "index",
375 :     j = "index", value = "replValue"), replDiag)
376 : maechler 2098
377 : maechler 1710 setReplaceMethod("[", signature(x = "diagonalMatrix", i = "index",
378 :     j = "missing", value = "replValue"),
379 : maechler 2098 function(x,i,j, ..., value) {
380 :     ## message("before replDiag() -- nargs()= ", nargs())
381 :     if(nargs() == 3)
382 :     replDiag(x, i=i, value=value)
383 :     else ## nargs() == 4 :
384 :     replDiag(x, i=i, , value=value)
385 :     })
386 :    
387 : mmaechler 2192 setReplaceMethod("[", signature(x = "diagonalMatrix",
388 :     i = "matrix", # 2-col.matrix
389 : maechler 2096 j = "missing", value = "replValue"),
390 : maechler 2098 function(x,i,j, ..., value) {
391 : maechler 2096 if(ncol(i) == 2) {
392 :     if(all((ii <- i[,1]) == i[,2])) { # replace in diagonal only
393 : mmaechler 2192 if(x@diag == "U") {
394 :     one <- as1(x@x)
395 :     if(any(value != one | is.na(value))) {
396 :     x@diag <- "N"
397 :     x@x <- rep.int(one, x@Dim[1])
398 :     }
399 :     }
400 : maechler 2096 x@x[ii] <- value
401 :     x
402 :     } else { ## no longer diagonal, but remain sparse:
403 :     x <- as(x, "sparseMatrix")
404 :     x[i] <- value
405 :     x
406 :     }
407 :     }
408 :     else { # behave as "base R": use as if vector
409 :     x <- as(x, "matrix")
410 :     x[i] <- value
411 :     Matrix(x)
412 :     }
413 :     })
414 :    
415 : maechler 1710 setReplaceMethod("[", signature(x = "diagonalMatrix", i = "missing",
416 :     j = "index", value = "replValue"),
417 : maechler 2098 function(x,i,j, ..., value) replDiag(x, j=j, value=value))
418 : maechler 1710
419 : mmaechler 2207 setReplaceMethod("[", signature(x = "diagonalMatrix", i = "missing", j = "index",
420 :     value = "scarceMatrix"),
421 :     function (x, i, j, ..., value)
422 :     callGeneric(x=x, , j=j, value = as(value, "sparseVector")))
423 :     setReplaceMethod("[", signature(x = "diagonalMatrix", i = "index", j = "missing",
424 :     value = "scarceMatrix"),
425 :     function (x, i, j, ..., value)
426 :     callGeneric(x=x, i=i, , value = as(value, "sparseVector")))
427 :     setReplaceMethod("[", signature(x = "diagonalMatrix", i = "index", j = "index",
428 :     value = "scarceMatrix"),
429 :     function (x, i, j, ..., value)
430 :     callGeneric(x=x, i=i, j=j, value = as(value, "sparseVector")))
431 : maechler 1710
432 : mmaechler 2207 setReplaceMethod("[", signature(x = "diagonalMatrix", i = "missing", j = "index",
433 :     value = "sparseVector"),
434 :     replDiag)
435 :     setReplaceMethod("[", signature(x = "diagonalMatrix", i = "index", j = "missing",
436 :     value = "sparseVector"),
437 :     replDiag)
438 :     setReplaceMethod("[", signature(x = "diagonalMatrix", i = "index", j = "index",
439 :     value = "sparseVector"),
440 :     replDiag)
441 :    
442 :    
443 : maechler 1109 setMethod("t", signature(x = "diagonalMatrix"),
444 :     function(x) { x@Dimnames <- x@Dimnames[2:1] ; x })
445 :    
446 : maechler 1331 setMethod("isDiagonal", signature(object = "diagonalMatrix"),
447 :     function(object) TRUE)
448 :     setMethod("isTriangular", signature(object = "diagonalMatrix"),
449 :     function(object) TRUE)
450 : maechler 1109 setMethod("isSymmetric", signature(object = "diagonalMatrix"),
451 : maechler 2112 function(object, ...) TRUE)
452 : maechler 1109
453 : maechler 2112 setMethod("symmpart", signature(x = "diagonalMatrix"), function(x) x)
454 :     setMethod("skewpart", signature(x = "diagonalMatrix"), setZero)
455 :    
456 : maechler 2133 setMethod("chol", signature(x = "ddiMatrix"),
457 :     function(x, pivot, ...) {
458 : mmaechler 2183 if(x@diag == "U") return(x)
459 :     ## else
460 : maechler 2133 if(any(x@x < 0))
461 :     stop("chol() is undefined for diagonal matrix with negative entries")
462 : maechler 1654 x@x <- sqrt(x@x)
463 :     x
464 :     })
465 :     ## chol(L) is L for logical diagonal:
466 : maechler 2133 setMethod("chol", signature(x = "ldiMatrix"), function(x, pivot, ...) x)
467 : maechler 1654
468 : mmaechler 2175 setMethod("determinant", signature(x = "diagonalMatrix", logarithm = "logical"),
469 : mmaechler 2185 function(x, logarithm, ...) mkDet(.diag.x(x), logarithm))
470 : mmaechler 2175
471 : mmaechler 2183 setMethod("norm", signature(x = "diagonalMatrix", type = "character"),
472 :     function(x, type, ...) {
473 :     if((n <- x@Dim[1]) == 0) return(0) # as for "sparseMatrix"
474 :     type <- toupper(substr(type[1], 1, 1))
475 :     isU <- (x@diag == "U") # unit-diagonal
476 :     if(type == "F") sqrt(if(isU) n else sum(x@x^2))
477 :     else { ## norm == "I","1","O","M" :
478 :     if(isU) 1 else max(abs(x@x))
479 :     }
480 :     })
481 :    
482 :    
483 :    
484 : maechler 1109 ## Basic Matrix Multiplication {many more to add}
485 : maechler 1654 ## ---------------------
486 :     ## Note that "ldi" logical are treated as numeric
487 : maechler 1109 diagdiagprod <- function(x, y) {
488 : mmaechler 2183 n <- dimCheck(x,y)[1]
489 : maechler 1109 if(x@diag != "U") {
490 : maechler 1654 if(y@diag != "U") {
491 :     nx <- x@x * y@x
492 :     if(is.numeric(nx) && !is.numeric(x@x))
493 :     x <- as(x, "dMatrix")
494 :     x@x <- as.numeric(nx)
495 :     }
496 :     return(x)
497 : maechler 1109 } else ## x is unit diagonal
498 :     return(y)
499 :     }
500 :    
501 : maechler 1654 setMethod("%*%", signature(x = "diagonalMatrix", y = "diagonalMatrix"),
502 : maechler 1109 diagdiagprod, valueClass = "ddiMatrix")
503 :    
504 : maechler 1654 formals(diagdiagprod) <- alist(x=, y=x)
505 :     setMethod("crossprod", signature(x = "diagonalMatrix", y = "diagonalMatrix"),
506 : maechler 1109 diagdiagprod, valueClass = "ddiMatrix")
507 : maechler 1654 setMethod("tcrossprod", signature(x = "diagonalMatrix", y = "diagonalMatrix"),
508 : maechler 1109 diagdiagprod, valueClass = "ddiMatrix")
509 : maechler 1654 setMethod("crossprod", signature(x = "diagonalMatrix", y = "missing"),
510 :     diagdiagprod, valueClass = "ddiMatrix")
511 :     setMethod("tcrossprod", signature(x = "diagonalMatrix", y = "missing"),
512 :     diagdiagprod, valueClass = "ddiMatrix")
513 : maechler 1109
514 :    
515 :     diagmatprod <- function(x, y) {
516 : mmaechler 2183 ## x is diagonalMatrix
517 : maechler 1109 dx <- dim(x)
518 :     dy <- dim(y)
519 :     if(dx[2] != dy[1]) stop("non-matching dimensions")
520 :     n <- dx[1]
521 :     as(if(x@diag == "U") y else x@x * y, "Matrix")
522 :     }
523 :     setMethod("%*%", signature(x = "diagonalMatrix", y = "matrix"),
524 : maechler 1654 diagmatprod)
525 : mmaechler 2183 ## sneaky .. :
526 : maechler 1109 formals(diagmatprod) <- alist(x=, y=NULL)
527 :     setMethod("crossprod", signature(x = "diagonalMatrix", y = "matrix"),
528 : maechler 1654 diagmatprod)
529 : maechler 1109
530 : mmaechler 2183 diagGeprod <- function(x, y) {
531 : maechler 1109 dx <- dim(x)
532 :     dy <- dim(y)
533 :     if(dx[2] != dy[1]) stop("non-matching dimensions")
534 :     if(x@diag != "U")
535 :     y@x <- x@x * y@x
536 :     y
537 :     }
538 : mmaechler 2183 setMethod("%*%", signature(x= "diagonalMatrix", y= "dgeMatrix"), diagGeprod)
539 :     setMethod("%*%", signature(x= "diagonalMatrix", y= "lgeMatrix"), diagGeprod)
540 :     formals(diagGeprod) <- alist(x=, y=NULL)
541 : maechler 1109 setMethod("crossprod", signature(x = "diagonalMatrix", y = "dgeMatrix"),
542 : mmaechler 2183 diagGeprod, valueClass = "dgeMatrix")
543 :     setMethod("crossprod", signature(x = "diagonalMatrix", y = "lgeMatrix"),
544 :     diagGeprod)
545 : maechler 1109
546 : mmaechler 2183 matdiagprod <- function(x, y) {
547 :     dx <- dim(x)
548 :     dy <- dim(y)
549 :     if(dx[2] != dy[1]) stop("non-matching dimensions")
550 :     Matrix(if(y@diag == "U") x else x * rep(y@x, each = dx[1]))
551 :     }
552 : maechler 1109 setMethod("%*%", signature(x = "matrix", y = "diagonalMatrix"),
553 : mmaechler 2183 matdiagprod)
554 :     formals(matdiagprod) <- alist(x=, y=NULL)
555 :     setMethod("tcrossprod", signature(x = "matrix", y = "diagonalMatrix"),
556 :     matdiagprod)
557 : maechler 1109
558 : mmaechler 2183 gediagprod <- function(x, y) {
559 :     dx <- dim(x)
560 :     dy <- dim(y)
561 :     if(dx[2] != dy[1]) stop("non-matching dimensions")
562 :     if(y@diag == "N")
563 :     x@x <- x@x * rep(y@x, each = dx[1])
564 :     x
565 :     }
566 :     setMethod("%*%", signature(x= "dgeMatrix", y= "diagonalMatrix"), gediagprod)
567 :     setMethod("%*%", signature(x= "lgeMatrix", y= "diagonalMatrix"), gediagprod)
568 :     formals(gediagprod) <- alist(x=, y=NULL)
569 :     setMethod("tcrossprod", signature(x = "dgeMatrix", y = "diagonalMatrix"),
570 :     gediagprod)
571 :     setMethod("tcrossprod", signature(x = "lgeMatrix", y = "diagonalMatrix"),
572 :     gediagprod)
573 : maechler 1109
574 : maechler 1295 ## crossprod {more of these}
575 : maechler 1109
576 : maechler 1295 ## tcrossprod --- all are not yet there: do the dense ones here:
577 : maechler 1109
578 : mmaechler 2183 setMethod("%*%", signature(x = "diagonalMatrix", y = "denseMatrix"),
579 :     function(x, y) if(x@diag == "U") y else x %*% as(y, "generalMatrix"))
580 :     setMethod("%*%", signature(x = "denseMatrix", y = "diagonalMatrix"),
581 :     function(x, y) if(y@diag == "U") x else as(x, "generalMatrix") %*% y)
582 :    
583 :    
584 : maechler 1295 ## FIXME:
585 :     ## setMethod("tcrossprod", signature(x = "diagonalMatrix", y = "denseMatrix"),
586 :     ## function(x, y = NULL) {
587 :     ## })
588 : maechler 1109
589 : maechler 1295 ## setMethod("tcrossprod", signature(x = "denseMatrix", y = "diagonalMatrix"),
590 :     ## function(x, y = NULL) {
591 :     ## })
592 : maechler 1109
593 : maechler 1799 setMethod("crossprod", signature(x = "diagonalMatrix", y = "sparseMatrix"),
594 : maechler 2123 function(x, y = NULL) crossprod(as(x, "sparseMatrix"), y))
595 : maechler 1295
596 : maechler 1799 setMethod("crossprod", signature(x = "sparseMatrix", y = "diagonalMatrix"),
597 : maechler 2123 function(x, y = NULL) crossprod(x, as(y, "sparseMatrix")))
598 : maechler 1799
599 :     setMethod("tcrossprod", signature(x = "diagonalMatrix", y = "sparseMatrix"),
600 : maechler 2123 function(x, y = NULL) tcrossprod(as(x, "sparseMatrix"), y))
601 : maechler 1799
602 :     setMethod("tcrossprod", signature(x = "sparseMatrix", y = "diagonalMatrix"),
603 : maechler 2123 function(x, y = NULL) tcrossprod(x, as(y, "sparseMatrix")))
604 : maechler 1799
605 :    
606 :     ## FIXME?: In theory, this can be done *FASTER*, in some cases, via tapply1()
607 :     setMethod("%*%", signature(x = "diagonalMatrix", y = "sparseMatrix"),
608 :     function(x, y) as(x, "sparseMatrix") %*% y)
609 : mmaechler 2183 setMethod("%*%", signature(x = "sparseMatrix", y = "diagonalMatrix"),
610 :     function(x, y) x %*% as(y, "sparseMatrix"))
611 : maechler 1799 ## NB: The previous is *not* triggering for "ddi" o "dgC" (= distance 3)
612 :     ## since there's a "ddense" o "Csparse" at dist. 2 => triggers first.
613 :     ## ==> do this:
614 :     setMethod("%*%", signature(x = "diagonalMatrix", y = "CsparseMatrix"),
615 :     function(x, y) as(x, "CsparseMatrix") %*% y)
616 :     setMethod("%*%", signature(x = "CsparseMatrix", y = "diagonalMatrix"),
617 :     function(x, y) x %*% as(y, "CsparseMatrix"))
618 :     ## NB: this is *not* needed for Tsparse & Rsparse
619 :     ## TODO: Write tests in ./tests/ which ensure that many "ops" with diagonal*
620 :     ## do indeed work by going through sparse (and *not* ddense)!
621 :    
622 :    
623 :    
624 :     setMethod("solve", signature(a = "diagonalMatrix", b = "missing"),
625 :     function(a, b, ...) {
626 :     a@x <- 1/ a@x
627 :     a@Dimnames <- a@Dimnames[2:1]
628 :     a
629 :     })
630 :    
631 :     solveDiag <- function(a, b, ...) {
632 :     if((n <- a@Dim[1]) != nrow(b))
633 :     stop("incompatible matrix dimensions")
634 :     ## trivially invert a 'in place' and multiply:
635 :     a@x <- 1/ a@x
636 :     a@Dimnames <- a@Dimnames[2:1]
637 :     a %*% b
638 :     }
639 :     setMethod("solve", signature(a = "diagonalMatrix", b = "matrix"),
640 :     solveDiag)
641 :     setMethod("solve", signature(a = "diagonalMatrix", b = "Matrix"),
642 :     solveDiag)
643 :    
644 : maechler 2106 ## Schur() ---> ./eigen.R
645 : maechler 1799
646 :    
647 :    
648 : mmaechler 2175 ###---------------- <Ops> (<Arith>, <Logic>, <Compare> ) ----------------------
649 : maechler 1295
650 : maechler 1655 ## Use function for several signatures, in order to evade
651 :     ## ambiguous dispatch for "ddi", since there's also Arith(ddense., ddense.)
652 : mmaechler 2175 diagOdiag <- function(e1,e2) {
653 :     ## result should also be diagonal _ if possible _
654 : maechler 1655 r <- callGeneric(.diag.x(e1), .diag.x(e2)) # error if not "compatible"
655 : mmaechler 2175 ## Check what happens with non-diagonals, i.e. (0 o 0), (FALSE o 0), ...:
656 :     r00 <- callGeneric(if(is.numeric(e1@x)) 0 else FALSE,
657 :     if(is.numeric(e2@x)) 0 else FALSE)
658 :     if(is0(r00)) { ## r00 == 0 or FALSE --- result *is* diagonal
659 :     if(is.numeric(r)) {
660 :     if(is.numeric(e2@x)) {
661 :     e2@x <- r; return(.diag.2N(e2)) }
662 :     if(!is.numeric(e1@x))
663 :     ## e.g. e1, e2 are logical;
664 :     e1 <- as(e1, "dMatrix")
665 :     }
666 :     else if(is.logical(r))
667 :     e1 <- as(e1, "lMatrix")
668 :     else stop("intermediate 'r' is of type", typeof(r))
669 :     e1@x <- r
670 :     .diag.2N(e1)
671 : maechler 1655 }
672 : mmaechler 2175 else { ## result not diagonal, but at least symmetric:
673 :     isNum <- (is.numeric(r) || is.numeric(r00))
674 :     isLog <- (is.logical(r) || is.logical(r00))
675 :    
676 :     if(getOption("verbose"))
677 :     message("exploding <diag> o <diag> into dense matrix")
678 :     d <- e1@Dim
679 :     n <- d[1]
680 :     stopifnot(length(r) == n)
681 :     xx <- as.vector(matrix(rbind(r, matrix(r00,n,n)), n,n))
682 :     newcl <-
683 :     paste(if(isNum) "d" else if(isLog) {
684 :     if(!any(is.na(r)) && !any(is.na(r00))) "n" else "l"
685 :     } else stop("not yet implemented .. please report")
686 :     ,
687 :     "syMatrix", sep='')
688 :    
689 :     new(newcl, Dim = e1@Dim, Dimnames = e1@Dimnames, x = xx)
690 :     }
691 : maechler 1655 }
692 :    
693 : mmaechler 2175 ### This would be *the* way, but we get tons of "ambiguous method dispatch"
694 : mmaechler 2185 ## we use this hack instead of signature x = "diagonalMatrix" :
695 :     diCls <- names(getClass("diagonalMatrix")@subclasses)
696 : mmaechler 2175 if(FALSE) {
697 : maechler 1655 setMethod("Ops", signature(e1 = "diagonalMatrix", e2 = "diagonalMatrix"),
698 :     diagOdiag)
699 : mmaechler 2175 } else { ## These are just for method disambiguation:
700 :     for(c1 in diCls)
701 :     for(c2 in diCls)
702 :     setMethod("Ops", signature(e1 = c1, e2 = c2), diagOdiag)
703 :     }
704 : maechler 1655
705 : maechler 1845 ## FIXME: diagonal o triangular |--> triangular
706 :     ## ----- diagonal o symmetric |--> symmetric
707 :     ## {also when other is sparse: do these "here" --
708 :     ## before conversion to sparse, since that loses "diagonality"}
709 :    
710 : maechler 1655 ## For almost everything else, diag* shall be treated "as sparse" :
711 : maechler 1295 ## These are cheap implementations via coercion
712 :    
713 : maechler 2144 ## For disambiguation --- define this for "sparseMatrix" , then for "ANY";
714 :     ## and because we can save an .M.kind() call, we use this explicit
715 :     ## "hack" for all diagonalMatrix *subclasses* instead of just "diagonalMatrix" :
716 :     ##
717 :     ## ddi*:
718 :     setMethod("Ops", signature(e1 = "ddiMatrix", e2 = "sparseMatrix"),
719 : mmaechler 2175 function(e1,e2) callGeneric(diag2Tsmart(e1,e2, "d"), e2))
720 : maechler 2144 setMethod("Ops", signature(e1 = "sparseMatrix", e2 = "ddiMatrix"),
721 : mmaechler 2175 function(e1,e2) callGeneric(e1, diag2Tsmart(e2,e1, "d")))
722 : maechler 2144 ## ldi*
723 :     setMethod("Ops", signature(e1 = "ldiMatrix", e2 = "sparseMatrix"),
724 : mmaechler 2175 function(e1,e2) callGeneric(diag2Tsmart(e1,e2, "l"), e2))
725 : maechler 2144 setMethod("Ops", signature(e1 = "sparseMatrix", e2 = "ldiMatrix"),
726 : mmaechler 2175 function(e1,e2) callGeneric(e1, diag2Tsmart(e2,e1, "l")))
727 : maechler 1654
728 : mmaechler 2175 ## Ops: Arith --> numeric : "dMatrix"
729 :     ## Compare --> logical
730 :     ## Logic --> logical: "lMatrix"
731 :    
732 : maechler 2144 ## other = "numeric" : stay diagonal if possible
733 : mmaechler 2175 ## ddi*: Arith: result numeric, potentially ddiMatrix
734 :     setMethod("Arith", signature(e1 = "ddiMatrix", e2 = "numeric"),
735 : maechler 2144 function(e1,e2) {
736 : mmaechler 2203 n <- e1@Dim[1]; nsq <- n^2
737 : maechler 2144 f0 <- callGeneric(0, e2)
738 :     if(all(is0(f0))) { # remain diagonal
739 : maechler 2157 L1 <- (le <- length(e2)) == 1L
740 :     if(!L1 && le != nsq) e2 <- rep(e2, length.out = nsq)
741 :     if(e1@diag == "U" && any((r <- callGeneric(1, e2)) != 1)) {
742 : maechler 2144 e1@diag <- "N"
743 : maechler 2157 if(L1) r <- rep.int(r, n)
744 :     } else
745 : maechler 2144 r <- callGeneric(e1@x, e2)
746 : mmaechler 2197 e1@x <- if(L1) r else r[1L + (n+1L)*(0:(n-1L))]
747 : maechler 2144 return(e1)
748 :     }
749 :     callGeneric(diag2tT.u(e1,e2, "d"), e2)
750 :     })
751 : maechler 1655
752 : mmaechler 2175 setMethod("Arith", signature(e1 = "numeric", e2 = "ddiMatrix"),
753 : maechler 2144 function(e1,e2) {
754 : mmaechler 2203 n <- e2@Dim[1]; nsq <- n^2
755 : maechler 2144 f0 <- callGeneric(e1, 0)
756 :     if(all(is0(f0))) { # remain diagonal
757 : maechler 2157 L1 <- (le <- length(e1)) == 1L
758 :     if(!L1 && le != nsq) e1 <- rep(e1, length.out = nsq)
759 :     if(e2@diag == "U" && any((r <- callGeneric(e1, 1)) != 1)) {
760 : maechler 2144 e2@diag <- "N"
761 : maechler 2157 if(L1) r <- rep.int(r, n)
762 :     } else
763 : maechler 2144 r <- callGeneric(e1, e2@x)
764 : mmaechler 2197 e2@x <- if(L1) r else r[1L + (n+1L)*(0:(n-1L))]
765 : maechler 2144 return(e2)
766 :     }
767 :     callGeneric(e1, diag2tT.u(e2,e1, "d"))
768 :     })
769 : mmaechler 2175
770 :     ## ldi* Arith --> result numeric, potentially ddiMatrix
771 :     setMethod("Arith", signature(e1 = "ldiMatrix", e2 = "numeric"),
772 :     function(e1,e2) {
773 : mmaechler 2203 n <- e1@Dim[1]; nsq <- n^2
774 : mmaechler 2175 f0 <- callGeneric(0, e2)
775 :     if(all(is0(f0))) { # remain diagonal
776 :     L1 <- (le <- length(e2)) == 1L
777 :     if(!L1 && le != nsq) e2 <- rep(e2, length.out = nsq)
778 :     if(e1@diag == "U" && any((r <- callGeneric(1, e2)) != 1)) {
779 :     e1@diag <- "N"
780 :     if(L1) r <- rep.int(r, n)
781 :     } else
782 :     r <- callGeneric(e1@x, e2)
783 :     e1 <- copyClass(e1, "ddiMatrix", c("diag", "Dim", "Dimnames"))
784 : mmaechler 2197 e1@x <- if(L1) r else r[1L + (n+1L)*(0:(n-1L))]
785 : mmaechler 2175 return(e1)
786 :     }
787 :     callGeneric(diag2tT.u(e1,e2, "d"), e2)
788 :     })
789 :    
790 :     setMethod("Arith", signature(e1 = "numeric", e2 = "ldiMatrix"),
791 :     function(e1,e2) {
792 : mmaechler 2203 n <- e2@Dim[1]; nsq <- n^2
793 : mmaechler 2175 f0 <- callGeneric(e1, 0)
794 :     if(all(is0(f0))) { # remain diagonal
795 :     L1 <- (le <- length(e1)) == 1L
796 :     if(!L1 && le != nsq) e1 <- rep(e1, length.out = nsq)
797 :     if(e2@diag == "U" && any((r <- callGeneric(e1, 1)) != 1)) {
798 :     e2@diag <- "N"
799 :     if(L1) r <- rep.int(r, n)
800 :     } else
801 :     r <- callGeneric(e1, e2@x)
802 :     e2 <- copyClass(e2, "ddiMatrix", c("diag", "Dim", "Dimnames"))
803 : mmaechler 2197 e2@x <- if(L1) r else r[1L + (n+1L)*(0:(n-1L))]
804 : mmaechler 2175 return(e2)
805 :     }
806 :     callGeneric(e1, diag2tT.u(e2,e1, "d"))
807 :     })
808 :    
809 :     ## ddi*: for "Ops" without Arith --> result logical, potentially ldi
810 :     setMethod("Ops", signature(e1 = "ddiMatrix", e2 = "numeric"),
811 :     function(e1,e2) {
812 : mmaechler 2203 n <- e1@Dim[1]; nsq <- n^2
813 : mmaechler 2175 f0 <- callGeneric(0, e2)
814 :     if(all(is0(f0))) { # remain diagonal
815 :     L1 <- (le <- length(e2)) == 1L
816 :     if(!L1 && le != nsq) e2 <- rep(e2, length.out = nsq)
817 :     if(e1@diag == "U" && any((r <- callGeneric(1, e2)) != 1)) {
818 :     e1@diag <- "N"
819 :     if(L1) r <- rep.int(r, n)
820 :     } else
821 :     r <- callGeneric(e1@x, e2)
822 :     e1 <- copyClass(e1, "ldiMatrix", c("diag", "Dim", "Dimnames"))
823 : mmaechler 2197 e1@x <- if(L1) r else r[1L + (n+1L)*(0:(n-1L))]
824 : mmaechler 2175 return(e1)
825 :     }
826 :     callGeneric(diag2tT.u(e1,e2, "l"), e2)
827 :     })
828 :    
829 :     setMethod("Ops", signature(e1 = "numeric", e2 = "ddiMatrix"),
830 :     function(e1,e2) {
831 : mmaechler 2203 n <- e2@Dim[1]; nsq <- n^2
832 : mmaechler 2175 f0 <- callGeneric(e1, 0)
833 :     if(all(is0(f0))) { # remain diagonal
834 :     L1 <- (le <- length(e1)) == 1L
835 :     if(!L1 && le != nsq) e1 <- rep(e1, length.out = nsq)
836 :     if(e2@diag == "U" && any((r <- callGeneric(e1, 1)) != 1)) {
837 :     e2@diag <- "N"
838 :     if(L1) r <- rep.int(r, n)
839 :     } else
840 :     r <- callGeneric(e1, e2@x)
841 :     e2 <- copyClass(e2, "ldiMatrix", c("diag", "Dim", "Dimnames"))
842 : mmaechler 2197 e2@x <- if(L1) r else r[1L + (n+1L)*(0:(n-1L))]
843 : mmaechler 2175 return(e2)
844 :     }
845 :     callGeneric(e1, diag2tT.u(e2,e1, "l"))
846 :     })
847 :    
848 :     ## ldi*: for "Ops" without Arith --> result logical, potentially ldi
849 : maechler 2144 setMethod("Ops", signature(e1 = "ldiMatrix", e2 = "numeric"),
850 :     function(e1,e2) {
851 : mmaechler 2203 n <- e1@Dim[1]; nsq <- n^2
852 : maechler 2144 f0 <- callGeneric(FALSE, e2)
853 :     if(all(is0(f0))) { # remain diagonal
854 : maechler 2157 L1 <- (le <- length(e2)) == 1L
855 :     if(!L1 && le != nsq) e2 <- rep(e2, length.out = nsq)
856 :     if(e1@diag == "U" && any((r <- callGeneric(TRUE, e2)) != 1)) {
857 : maechler 2144 e1@diag <- "N"
858 : maechler 2157 if(L1) r <- rep.int(r, n)
859 :     } else
860 : maechler 2144 r <- callGeneric(e1@x, e2)
861 : mmaechler 2197 e1@x <- if(L1) r else r[1L + (n+1L)*(0:(n-1L))]
862 : maechler 2144 return(e1)
863 :     }
864 :     callGeneric(diag2tT.u(e1,e2, "l"), e2)
865 :     })
866 : maechler 1655
867 : maechler 2144 setMethod("Ops", signature(e1 = "numeric", e2 = "ldiMatrix"),
868 :     function(e1,e2) {
869 : mmaechler 2203 n <- e2@Dim[1]; nsq <- n^2
870 : maechler 2144 f0 <- callGeneric(e1, FALSE)
871 :     if(all(is0(f0))) { # remain diagonal
872 : maechler 2157 L1 <- (le <- length(e1)) == 1L
873 :     if(!L1 && le != nsq) e1 <- rep(e1, length.out = nsq)
874 :     if(e2@diag == "U" && any((r <- callGeneric(e1, TRUE)) != 1)) {
875 : maechler 2144 e2@diag <- "N"
876 : maechler 2157 if(L1) r <- rep.int(r, n)
877 :     } else
878 : maechler 2144 r <- callGeneric(e1, e2@x)
879 : mmaechler 2197 e2@x <- if(L1) r else r[1L + (n+1L)*(0:(n-1L))]
880 : maechler 2144 return(e2)
881 :     }
882 :     callGeneric(e1, diag2tT.u(e2,e1, "l"))
883 :     })
884 :    
885 :    
886 :    
887 :     ## Not {"sparseMatrix", "numeric} : {"denseMatrix", "matrix", ... }
888 : mmaechler 2196 for(other in c("ANY", "Matrix", "dMatrix")) {
889 :     ## ddi*:
890 :     setMethod("Ops", signature(e1 = "ddiMatrix", e2 = other),
891 :     function(e1,e2) callGeneric(diag2tT.u(e1,e2, "d"), e2))
892 :     setMethod("Ops", signature(e1 = other, e2 = "ddiMatrix"),
893 :     function(e1,e2) callGeneric(e1, diag2tT.u(e2,e1, "d")))
894 :     ## ldi*:
895 :     setMethod("Ops", signature(e1 = "ldiMatrix", e2 = other),
896 :     function(e1,e2) callGeneric(diag2tT.u(e1,e2, "l"), e2))
897 :     setMethod("Ops", signature(e1 = other, e2 = "ldiMatrix"),
898 :     function(e1,e2) callGeneric(e1, diag2tT.u(e2,e1, "l")))
899 :     }
900 : mmaechler 2175 ## This should *not* dispatch to <dense> methods (in ./Ops.R ), as
901 :     ## FALSE & <anything> |-> FALSE : hence result should be diagonal:
902 :     for(cl in diCls) {
903 :     setMethod("&", signature(e1 = cl, e2 = "ANY"),
904 :     function(e1,e2) e1 & as(e2,"Matrix"))
905 :     setMethod("&", signature(e1 = "ANY", e2 = cl),
906 :     function(e1,e2) as(e1,"Matrix") & e2)
907 :     for(c2 in c("denseMatrix", "Matrix")) {
908 :     setMethod("&", signature(e1 = cl, e2 = c2),
909 :     function(e1,e2) e1 & Diagonal(x = diag(e2)))
910 :     setMethod("&", signature(e1 = c2, e2 = cl),
911 :     function(e1,e2) Diagonal(x = diag(e1)) & e2)
912 :     }
913 :     }
914 : maechler 2144
915 :    
916 : mmaechler 2175 ### "Summary" : "max" "min" "range" "prod" "sum" "any" "all"
917 :     ### ---------- any, all: separately here
918 :     for(cl in diCls) {
919 :     setMethod("any", cl,
920 :     function (x, ..., na.rm) {
921 :     if(any(x@Dim == 0)) FALSE
922 :     else if(x@diag == "U") TRUE else any(x@x, ..., na.rm = na.rm)
923 :     })
924 :     setMethod("all", cl, function (x, ..., na.rm) any(x@Dim == 0))
925 :     setMethod("prod", cl, function (x, ..., na.rm) as.numeric(any(x@Dim == 0)))
926 :    
927 :     setMethod("sum", cl,
928 :     function(x, ..., na.rm) {
929 :     r <- sum(x@x, ..., na.rm = na.rm)# double or integer, correctly
930 :     if(x@diag == "U" && !is.na(r)) r + x@Dim[1] else r
931 :     })
932 :     }
933 :    
934 :     ## The remaining ones are max, min, range :
935 :    
936 :     setMethod("Summary", "ddiMatrix",
937 :     function(x, ..., na.rm) {
938 :     if(any(x@Dim == 0)) callGeneric(numeric(0), ..., na.rm=na.rm)
939 :     else if(x@diag == "U")
940 :     callGeneric(x@x, 0, 1, ..., na.rm=na.rm)
941 :     else callGeneric(x@x, 0, ..., na.rm=na.rm)
942 :     })
943 :     setMethod("Summary", "ldiMatrix",
944 :     function(x, ..., na.rm) {
945 :     if(any(x@Dim == 0)) callGeneric(logical(0), ..., na.rm=na.rm)
946 :     else if(x@diag == "U")
947 :     callGeneric(x@x, FALSE, TRUE, ..., na.rm=na.rm)
948 :     else callGeneric(x@x, FALSE, ..., na.rm=na.rm)
949 :     })
950 :    
951 :    
952 :    
953 : maechler 1109 ## similar to prTriang() in ./Auxiliaries.R :
954 :     prDiag <-
955 :     function(x, digits = getOption("digits"), justify = "none", right = TRUE)
956 :     {
957 :     cf <- array(".", dim = x@Dim, dimnames = x@Dimnames)
958 :     cf[row(cf) == col(cf)] <-
959 :     sapply(diag(x), format, digits = digits, justify = justify)
960 :     print(cf, quote = FALSE, right = right)
961 :     invisible(x)
962 :     }
963 :    
964 : mmaechler 2237 ## somewhat consistent with "print" for sparseMatrix :
965 :     setMethod("print", signature(x = "diagonalMatrix"), prDiag)
966 :    
967 : maechler 1109 setMethod("show", signature(object = "diagonalMatrix"),
968 : maechler 1592 function(object) {
969 :     d <- dim(object)
970 :     cl <- class(object)
971 : mmaechler 2203 cat(sprintf('%d x %d diagonal matrix of class "%s"',
972 : maechler 1592 d[1], d[2], cl))
973 : mmaechler 2203 if(d[1] < 50) {
974 :     cat("\n")
975 :     prDiag(object)
976 :     } else {
977 :     cat(", with diagonal entries\n")
978 :     show(diag(object))
979 :     invisible(object)
980 :     }
981 : maechler 1592 })

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