Browse code

Remove superfluous ... from method signatures

const-ae authored on 03/04/2020 10:39:05
Showing 35 changed files

... ...
@@ -5,7 +5,7 @@
5 5
 #' @rdname colSums2-dgCMatrix-method
6 6
 #' @export
7 7
 setMethod("rowSums2", signature(x = "dgCMatrix"),
8
-          function(x, rows = NULL, cols = NULL, na.rm=FALSE, ...){
8
+          function(x, rows = NULL, cols = NULL, na.rm=FALSE){
9 9
   if(! is.null(rows)){
10 10
     x <- x[rows, , drop = FALSE]
11 11
   }
... ...
@@ -22,7 +22,7 @@ setMethod("rowSums2", signature(x = "dgCMatrix"),
22 22
 #' @rdname colMeans2-dgCMatrix-method
23 23
 #' @export
24 24
 setMethod("rowMeans2", signature(x = "dgCMatrix"),
25
-          function(x, rows = NULL, cols = NULL, na.rm=FALSE, ...){
25
+          function(x, rows = NULL, cols = NULL, na.rm=FALSE){
26 26
   if(! is.null(rows)){
27 27
     x <- x[rows, , drop = FALSE]
28 28
   }
... ...
@@ -38,7 +38,7 @@ setMethod("rowMeans2", signature(x = "dgCMatrix"),
38 38
 #' @rdname colMedians-dgCMatrix-method
39 39
 #' @export
40 40
 setMethod("rowMedians", signature(x = "dgCMatrix"),
41
-          function(x, rows = NULL, cols = NULL, na.rm=FALSE, ...){
41
+          function(x, rows = NULL, cols = NULL, na.rm=FALSE){
42 42
   if(! is.null(rows)){
43 43
     x <- x[rows, , drop = FALSE]
44 44
   }
... ...
@@ -54,7 +54,7 @@ setMethod("rowMedians", signature(x = "dgCMatrix"),
54 54
 #' @rdname colVars-dgCMatrix-method
55 55
 #' @export
56 56
 setMethod("rowVars", signature(x = "dgCMatrix"),
57
-          function(x, rows = NULL, cols = NULL, na.rm=FALSE, ...){
57
+          function(x, rows = NULL, cols = NULL, na.rm=FALSE){
58 58
   if(! is.null(rows)){
59 59
     x <- x[rows, , drop = FALSE]
60 60
   }
... ...
@@ -70,7 +70,7 @@ setMethod("rowVars", signature(x = "dgCMatrix"),
70 70
 #' @rdname colSds-dgCMatrix-method
71 71
 #' @export
72 72
 setMethod("rowSds", signature(x = "dgCMatrix"),
73
-          function(x, rows = NULL, cols = NULL, na.rm=FALSE, ...){
73
+          function(x, rows = NULL, cols = NULL, na.rm=FALSE){
74 74
   if(! is.null(rows)){
75 75
     x <- x[rows, , drop = FALSE]
76 76
   }
... ...
@@ -87,8 +87,8 @@ setMethod("rowSds", signature(x = "dgCMatrix"),
87 87
 #' @rdname colMads-dgCMatrix-method
88 88
 #' @export
89 89
 setMethod("rowMads", signature(x = "dgCMatrix"),
90
-          function(x, rows = NULL, cols = NULL, constant = 1.4826, na.rm=FALSE, ...){
91
-  colMads(t(x), rows = cols, cols = rows, constant = constant, na.rm = na.rm, ...)
90
+          function(x, rows = NULL, cols = NULL, constant = 1.4826, na.rm=FALSE){
91
+  colMads(t(x), rows = cols, cols = rows, constant = constant, na.rm = na.rm)
92 92
 })
93 93
 
94 94
 
... ...
@@ -97,7 +97,7 @@ setMethod("rowMads", signature(x = "dgCMatrix"),
97 97
 #' @rdname colLogSumExps-dgCMatrix-method
98 98
 #' @export
99 99
 setMethod("rowLogSumExps", signature(lx = "dgCMatrix"),
100
-          function(lx, rows = NULL, cols = NULL, na.rm=FALSE, ...){
100
+          function(lx, rows = NULL, cols = NULL, na.rm=FALSE){
101 101
   if(! is.null(rows)){
102 102
     lx <- lx[rows, , drop = FALSE]
103 103
   }
... ...
@@ -113,7 +113,7 @@ setMethod("rowLogSumExps", signature(lx = "dgCMatrix"),
113 113
 #' @rdname colProds-dgCMatrix-method
114 114
 #' @export
115 115
 setMethod("rowProds", signature(x = "dgCMatrix"),
116
-          function(x, rows = NULL, cols = NULL, na.rm=FALSE, ...){
116
+          function(x, rows = NULL, cols = NULL, na.rm=FALSE){
117 117
   if(! is.null(rows)){
118 118
     x <- x[rows, , drop = FALSE]
119 119
   }
... ...
@@ -130,7 +130,7 @@ setMethod("rowProds", signature(x = "dgCMatrix"),
130 130
 #' @rdname colMins-dgCMatrix-method
131 131
 #' @export
132 132
 setMethod("rowMins", signature(x = "dgCMatrix"),
133
-          function(x, rows = NULL, cols = NULL, na.rm=FALSE, ...){
133
+          function(x, rows = NULL, cols = NULL, na.rm=FALSE){
134 134
   if(! is.null(rows)){
135 135
     x <- x[rows, , drop = FALSE]
136 136
   }
... ...
@@ -146,7 +146,7 @@ setMethod("rowMins", signature(x = "dgCMatrix"),
146 146
 #' @rdname colMaxs-dgCMatrix-method
147 147
 #' @export
148 148
 setMethod("rowMaxs", signature(x = "dgCMatrix"),
149
-          function(x, rows = NULL, cols = NULL, na.rm=FALSE, ...){
149
+          function(x, rows = NULL, cols = NULL, na.rm=FALSE){
150 150
   if(! is.null(rows)){
151 151
     x <- x[rows, , drop = FALSE]
152 152
   }
... ...
@@ -162,7 +162,7 @@ setMethod("rowMaxs", signature(x = "dgCMatrix"),
162 162
 #' @rdname colOrderStats-dgCMatrix-method
163 163
 #' @export
164 164
 setMethod("rowOrderStats", signature(x = "dgCMatrix"),
165
-          function(x, rows = NULL, cols = NULL, which = 1, na.rm=FALSE, ...){
165
+          function(x, rows = NULL, cols = NULL, which = 1, na.rm=FALSE){
166 166
   if(which < 1 || which > ncol(x)){
167 167
     stop("Argument 'which' is out of range.")
168 168
   }
... ...
@@ -182,7 +182,7 @@ setMethod("rowOrderStats", signature(x = "dgCMatrix"),
182 182
 #' @rdname colWeightedMeans-dgCMatrix-method
183 183
 #' @export
184 184
 setMethod("rowWeightedMeans", signature(x = "dgCMatrix"),
185
-    function(x, w = NULL, rows = NULL, cols = NULL, na.rm=FALSE, ...){
185
+    function(x, w = NULL, rows = NULL, cols = NULL, na.rm=FALSE){
186 186
   colWeightedMeans(t(x), w = w, rows = cols, cols = rows, na.rm = na.rm)
187 187
 })
188 188
 
... ...
@@ -192,7 +192,7 @@ setMethod("rowWeightedMeans", signature(x = "dgCMatrix"),
192 192
 #' @rdname colWeightedMedians-dgCMatrix-method
193 193
 #' @export
194 194
 setMethod("rowWeightedMedians", signature(x = "dgCMatrix"),
195
-    function(x, w = NULL, rows = NULL, cols = NULL, na.rm=FALSE, ...){
195
+    function(x, w = NULL, rows = NULL, cols = NULL, na.rm=FALSE){
196 196
   colWeightedMedians(t(x), w = w, rows = cols, cols = rows, na.rm = na.rm)
197 197
 })
198 198
 
... ...
@@ -202,8 +202,8 @@ setMethod("rowWeightedMedians", signature(x = "dgCMatrix"),
202 202
 #' @rdname colWeightedVars-dgCMatrix-method
203 203
 #' @export
204 204
 setMethod("rowWeightedVars", signature(x = "dgCMatrix"),
205
-function(x, w = NULL, rows = NULL, cols = NULL, na.rm=FALSE, ...){
206
-  colWeightedVars(t(x), w = w, rows = cols, cols = rows, na.rm = na.rm, ...)
205
+function(x, w = NULL, rows = NULL, cols = NULL, na.rm=FALSE){
206
+  colWeightedVars(t(x), w = w, rows = cols, cols = rows, na.rm = na.rm)
207 207
 })
208 208
 
209 209
 
... ...
@@ -213,7 +213,7 @@ function(x, w = NULL, rows = NULL, cols = NULL, na.rm=FALSE, ...){
213 213
 #' @rdname colWeightedSds-dgCMatrix-method
214 214
 #' @export
215 215
 setMethod("rowWeightedSds", signature(x = "dgCMatrix"),
216
-          function(x, w = NULL, rows = NULL, cols = NULL, na.rm=FALSE, ...){
216
+          function(x, w = NULL, rows = NULL, cols = NULL, na.rm=FALSE){
217 217
   if(! is.null(rows)){
218 218
     x <- x[rows, , drop = FALSE]
219 219
   }
... ...
@@ -234,8 +234,8 @@ setMethod("rowWeightedSds", signature(x = "dgCMatrix"),
234 234
 #' @rdname colWeightedMads-dgCMatrix-method
235 235
 #' @export
236 236
 setMethod("rowWeightedMads", signature(x = "dgCMatrix"),
237
-          function(x, w = NULL, rows = NULL, cols = NULL, na.rm=FALSE,  constant = 1.4826, ...){
238
-  colWeightedMads(t(x), w=w, rows = cols, cols = rows, na.rm=na.rm, constant = constant, ...)
237
+          function(x, w = NULL, rows = NULL, cols = NULL, na.rm=FALSE,  constant = 1.4826){
238
+  colWeightedMads(t(x), w=w, rows = cols, cols = rows, na.rm=na.rm, constant = constant)
239 239
 })
240 240
 
241 241
 
... ...
@@ -245,7 +245,7 @@ setMethod("rowWeightedMads", signature(x = "dgCMatrix"),
245 245
 #' @rdname colCounts-dgCMatrix-method
246 246
 #' @export
247 247
 setMethod("rowCounts", signature(x = "dgCMatrix"),
248
-          function(x, rows = NULL, cols = NULL, value = TRUE, na.rm=FALSE, ...){
248
+          function(x, rows = NULL, cols = NULL, value = TRUE, na.rm=FALSE){
249 249
   if(! is.null(rows)){
250 250
     x <- x[rows, , drop = FALSE]
251 251
   }
... ...
@@ -261,7 +261,7 @@ setMethod("rowCounts", signature(x = "dgCMatrix"),
261 261
 #' @rdname colAnyNAs-dgCMatrix-method
262 262
 #' @export
263 263
 setMethod("rowAnyNAs", signature(x = "dgCMatrix"),
264
-          function(x, rows = NULL, cols = NULL, ...){
264
+          function(x, rows = NULL, cols = NULL){
265 265
   if(! is.null(rows)){
266 266
     x <- x[rows, , drop = FALSE]
267 267
   }
... ...
@@ -277,7 +277,7 @@ setMethod("rowAnyNAs", signature(x = "dgCMatrix"),
277 277
 #' @rdname colAnys-dgCMatrix-method
278 278
 #' @export
279 279
 setMethod("rowAnys", signature(x = "dgCMatrix"),
280
-          function(x, rows = NULL, cols = NULL, value = TRUE, na.rm=FALSE, ...){
280
+          function(x, rows = NULL, cols = NULL, value = TRUE, na.rm=FALSE){
281 281
   if(! is.null(rows)){
282 282
     x <- x[rows, , drop = FALSE]
283 283
   }
... ...
@@ -294,7 +294,7 @@ setMethod("rowAnys", signature(x = "dgCMatrix"),
294 294
 #' @rdname colAlls-dgCMatrix-method
295 295
 #' @export
296 296
 setMethod("rowAlls", signature(x = "dgCMatrix"),
297
-          function(x, rows = NULL, cols = NULL, value = TRUE, na.rm=FALSE, ...){
297
+          function(x, rows = NULL, cols = NULL, value = TRUE, na.rm=FALSE){
298 298
   if(! is.null(rows)){
299 299
     x <- x[rows, , drop = FALSE]
300 300
   }
... ...
@@ -311,7 +311,7 @@ setMethod("rowAlls", signature(x = "dgCMatrix"),
311 311
 #' @rdname colCollapse-dgCMatrix-method
312 312
 #' @export
313 313
 setMethod("rowCollapse", signature(x = "dgCMatrix"),
314
-          function(x, idxs, rows = NULL, ...){
314
+          function(x, idxs, rows = NULL){
315 315
   idxs <- rep(idxs, length.out = nrow(x))
316 316
   if (!is.null(rows)) {
317 317
     x <- x[rows, , drop = FALSE]
... ...
@@ -358,7 +358,7 @@ setMethod("rowQuantiles", signature(x = "dgCMatrix"),
358 358
 #' @rdname colTabulates-dgCMatrix-method
359 359
 #' @export
360 360
 setMethod("rowTabulates", signature(x = "dgCMatrix"),
361
-          function(x, rows = NULL, cols = NULL, values = NULL, ...){
361
+          function(x, rows = NULL, cols = NULL, values = NULL){
362 362
   colTabulates(t(x), rows = cols, cols = rows, values = values)
363 363
 })
364 364
 
... ...
@@ -369,7 +369,7 @@ setMethod("rowTabulates", signature(x = "dgCMatrix"),
369 369
 #' @rdname colIQRs-dgCMatrix-method
370 370
 #' @export
371 371
 setMethod("rowIQRs", signature(x = "dgCMatrix"),
372
-          function(x, rows = NULL, cols = NULL, na.rm=FALSE, ...){
372
+          function(x, rows = NULL, cols = NULL, na.rm=FALSE){
373 373
   if(! is.null(rows)){
374 374
     x <- x[rows, , drop = FALSE]
375 375
   }
... ...
@@ -387,7 +387,7 @@ setMethod("rowIQRs", signature(x = "dgCMatrix"),
387 387
 #' @rdname colRanges-dgCMatrix-method
388 388
 #' @export
389 389
 setMethod("rowRanges", signature(x = "dgCMatrix"),
390
-          function(x, rows = NULL, cols = NULL, na.rm=FALSE, ...){
390
+          function(x, rows = NULL, cols = NULL, na.rm=FALSE){
391 391
   tx <- t(x)
392 392
   row_max <- colMaxs(tx, rows = cols, cols = rows, na.rm = na.rm)
393 393
   row_min <- colMins(tx, rows = cols, cols = rows, na.rm = na.rm)
... ...
@@ -401,7 +401,7 @@ setMethod("rowRanges", signature(x = "dgCMatrix"),
401 401
 #' @rdname colCumsums-dgCMatrix-method
402 402
 #' @export
403 403
 setMethod("rowCumsums", signature(x = "dgCMatrix"),
404
-          function(x, rows = NULL, cols = NULL, ...){
404
+          function(x, rows = NULL, cols = NULL){
405 405
   if(! is.null(rows)){
406 406
     x <- x[rows, , drop = FALSE]
407 407
   }
... ...
@@ -418,7 +418,7 @@ setMethod("rowCumsums", signature(x = "dgCMatrix"),
418 418
 #' @rdname colCumprods-dgCMatrix-method
419 419
 #' @export
420 420
 setMethod("rowCumprods", signature(x = "dgCMatrix"),
421
-          function(x, rows = NULL, cols = NULL, ...){
421
+          function(x, rows = NULL, cols = NULL){
422 422
   if(! is.null(rows)){
423 423
     x <- x[rows, , drop = FALSE]
424 424
   }
... ...
@@ -435,7 +435,7 @@ setMethod("rowCumprods", signature(x = "dgCMatrix"),
435 435
 #' @rdname colCummins-dgCMatrix-method
436 436
 #' @export
437 437
 setMethod("rowCummins", signature(x = "dgCMatrix"),
438
-          function(x, rows = NULL, cols = NULL, ...){
438
+          function(x, rows = NULL, cols = NULL){
439 439
   if(! is.null(rows)){
440 440
     x <- x[rows, , drop = FALSE]
441 441
   }
... ...
@@ -452,7 +452,7 @@ setMethod("rowCummins", signature(x = "dgCMatrix"),
452 452
 #' @rdname colCummaxs-dgCMatrix-method
453 453
 #' @export
454 454
 setMethod("rowCummaxs", signature(x = "dgCMatrix"),
455
-          function(x, rows = NULL, cols = NULL, ...){
455
+          function(x, rows = NULL, cols = NULL){
456 456
   if(! is.null(rows)){
457 457
     x <- x[rows, , drop = FALSE]
458 458
   }
... ...
@@ -469,14 +469,14 @@ setMethod("rowCummaxs", signature(x = "dgCMatrix"),
469 469
 #' @rdname colRanks-dgCMatrix-method
470 470
 #' @export
471 471
 setMethod("rowRanks", signature(x = "dgCMatrix"),
472
-          function(x, rows = NULL, cols = NULL,  ties.method = c("max", "average", "min"), preserve.shape = TRUE, na.handling = c("keep", "last"), ...){
472
+          function(x, rows = NULL, cols = NULL,  ties.method = c("max", "average", "min"), preserve.shape = TRUE, na.handling = c("keep", "last")){
473 473
   if(! is.null(rows)){
474 474
     x <- x[rows, , drop = FALSE]
475 475
   }
476 476
   if(! is.null(cols)){
477 477
     x <- x[, cols, drop = FALSE]
478 478
   }
479
-  colRanks(t(x), ties.method = ties.method, preserve.shape = !preserve.shape, na.handling = na.handling, ...)
479
+  colRanks(t(x), ties.method = ties.method, preserve.shape = !preserve.shape, na.handling = na.handling)
480 480
 })
481 481
 
482 482
 
... ...
@@ -485,8 +485,8 @@ setMethod("rowRanks", signature(x = "dgCMatrix"),
485 485
 
486 486
 #' @export
487 487
 setMethod("rowDiffs", signature(x = "dgCMatrix"),
488
-          function(x, rows = NULL, cols = NULL, lag = 1L, differences = 1L, ...){
489
-  t(colDiffs(t(x), rows = cols, cols = rows, lag = lag, differences = differences, ...))
488
+          function(x, rows = NULL, cols = NULL, lag = 1L, differences = 1L){
489
+  t(colDiffs(t(x), rows = cols, cols = rows, lag = lag, differences = differences))
490 490
 })
491 491
 
492 492
 
... ...
@@ -495,8 +495,8 @@ setMethod("rowDiffs", signature(x = "dgCMatrix"),
495 495
 #' @rdname colVarDiffs-dgCMatrix-method
496 496
 #' @export
497 497
 setMethod("rowVarDiffs", signature(x = "dgCMatrix"),
498
-          function(x, rows = NULL, cols = NULL, na.rm = FALSE, diff = 1L, trim = 0, ...){
499
-  colVarDiffs(t(x), rows = cols, cols = rows, na.rm=na.rm, diff=diff, trim = trim, ...)
498
+          function(x, rows = NULL, cols = NULL, na.rm = FALSE, diff = 1L, trim = 0){
499
+  colVarDiffs(t(x), rows = cols, cols = rows, na.rm=na.rm, diff=diff, trim = trim)
500 500
 })
501 501
 
502 502
 
... ...
@@ -506,8 +506,8 @@ setMethod("rowVarDiffs", signature(x = "dgCMatrix"),
506 506
 #' @rdname colSdDiffs-dgCMatrix-method
507 507
 #' @export
508 508
 setMethod("rowSdDiffs", signature(x = "dgCMatrix"),
509
-          function(x, rows = NULL, cols = NULL, na.rm = FALSE, diff = 1L, trim = 0, ...){
510
-  colSdDiffs(t(x), rows = cols, cols = rows, na.rm=na.rm, diff=diff, trim = trim, ...)
509
+          function(x, rows = NULL, cols = NULL, na.rm = FALSE, diff = 1L, trim = 0){
510
+  colSdDiffs(t(x), rows = cols, cols = rows, na.rm=na.rm, diff=diff, trim = trim)
511 511
 })
512 512
 
513 513
 
... ...
@@ -517,8 +517,8 @@ setMethod("rowSdDiffs", signature(x = "dgCMatrix"),
517 517
 #' @rdname colMadDiffs-dgCMatrix-method
518 518
 #' @export
519 519
 setMethod("rowMadDiffs", signature(x = "dgCMatrix"),
520
-          function(x, rows = NULL, cols = NULL, na.rm = FALSE, diff = 1L, trim = 0, constant = 1.4826, ...){
521
-  colMadDiffs(t(x), rows = cols, cols = rows, na.rm=na.rm, diff=diff, trim = trim, constant = constant, ...)
520
+          function(x, rows = NULL, cols = NULL, na.rm = FALSE, diff = 1L, trim = 0, constant = 1.4826){
521
+  colMadDiffs(t(x), rows = cols, cols = rows, na.rm=na.rm, diff=diff, trim = trim, constant = constant)
522 522
 })
523 523
 
524 524
 
... ...
@@ -528,8 +528,8 @@ setMethod("rowMadDiffs", signature(x = "dgCMatrix"),
528 528
 #' @rdname colIQRDiffs-dgCMatrix-method
529 529
 #' @export
530 530
 setMethod("rowIQRDiffs", signature(x = "dgCMatrix"),
531
-          function(x, rows = NULL, cols = NULL, na.rm = FALSE, diff = 1L, trim = 0, ...){
532
-  colIQRDiffs(t(x), rows = cols, cols = rows, na.rm=na.rm, diff=diff, trim = trim, ...)
531
+          function(x, rows = NULL, cols = NULL, na.rm = FALSE, diff = 1L, trim = 0){
532
+  colIQRDiffs(t(x), rows = cols, cols = rows, na.rm=na.rm, diff=diff, trim = trim)
533 533
 })
534 534
 
535 535
 
... ...
@@ -6,9 +6,9 @@
6 6
 \title{Check if all elements in a row (column) of a matrix-like object are equal to
7 7
 a value}
8 8
 \usage{
9
-\S4method{colAlls}{dgCMatrix}(x, rows = NULL, cols = NULL, value = TRUE, na.rm = FALSE, ...)
9
+\S4method{colAlls}{dgCMatrix}(x, rows = NULL, cols = NULL, value = TRUE, na.rm = FALSE)
10 10
 
11
-\S4method{rowAlls}{dgCMatrix}(x, rows = NULL, cols = NULL, value = TRUE, na.rm = FALSE, ...)
11
+\S4method{rowAlls}{dgCMatrix}(x, rows = NULL, cols = NULL, value = TRUE, na.rm = FALSE)
12 12
 }
13 13
 \arguments{
14 14
 \item{x}{An NxK matrix-like object.}
... ...
@@ -25,8 +25,6 @@ subsetting is done.}
25 25
 
26 26
 \item{na.rm}{If \code{\link[base:logical]{TRUE}}, \code{\link[base]{NA}}s
27 27
 are excluded first, otherwise not.}
28
-
29
-\item{...}{Additional arguments passed to specific methods.}
30 28
 }
31 29
 \value{
32 30
 Returns a \code{\link[base]{logical}} \code{\link[base]{vector}} of
... ...
@@ -5,9 +5,9 @@
5 5
 \alias{rowAnyNAs,dgCMatrix-method}
6 6
 \title{Check if any elements in a row (column) of a matrix-like object is missing}
7 7
 \usage{
8
-\S4method{colAnyNAs}{dgCMatrix}(x, rows = NULL, cols = NULL, ...)
8
+\S4method{colAnyNAs}{dgCMatrix}(x, rows = NULL, cols = NULL)
9 9
 
10
-\S4method{rowAnyNAs}{dgCMatrix}(x, rows = NULL, cols = NULL, ...)
10
+\S4method{rowAnyNAs}{dgCMatrix}(x, rows = NULL, cols = NULL)
11 11
 }
12 12
 \arguments{
13 13
 \item{x}{An NxK matrix-like object.}
... ...
@@ -19,8 +19,6 @@ subsetting is done.}
19 19
 \item{cols}{A \code{\link[base]{vector}} indicating the subset of rows
20 20
 (and/or columns) to operate over. If \code{\link[base]{NULL}}, no
21 21
 subsetting is done.}
22
-
23
-\item{...}{Additional arguments passed to specific methods.}
24 22
 }
25 23
 \value{
26 24
 Returns a \code{\link[base]{logical}} \code{\link[base]{vector}} of
... ...
@@ -6,9 +6,9 @@
6 6
 \title{Check if any elements in a row (column) of a matrix-like object is equal to
7 7
 a value}
8 8
 \usage{
9
-\S4method{colAnys}{dgCMatrix}(x, rows = NULL, cols = NULL, value = TRUE, na.rm = FALSE, ...)
9
+\S4method{colAnys}{dgCMatrix}(x, rows = NULL, cols = NULL, value = TRUE, na.rm = FALSE)
10 10
 
11
-\S4method{rowAnys}{dgCMatrix}(x, rows = NULL, cols = NULL, value = TRUE, na.rm = FALSE, ...)
11
+\S4method{rowAnys}{dgCMatrix}(x, rows = NULL, cols = NULL, value = TRUE, na.rm = FALSE)
12 12
 }
13 13
 \arguments{
14 14
 \item{x}{An NxK matrix-like object.}
... ...
@@ -25,8 +25,6 @@ subsetting is done.}
25 25
 
26 26
 \item{na.rm}{If \code{\link[base:logical]{TRUE}}, \code{\link[base]{NA}}s
27 27
 are excluded first, otherwise not.}
28
-
29
-\item{...}{Additional arguments passed to specific methods.}
30 28
 }
31 29
 \value{
32 30
 Returns a \code{\link[base]{logical}} \code{\link[base]{vector}} of
... ...
@@ -5,9 +5,9 @@
5 5
 \alias{rowCollapse,dgCMatrix-method}
6 6
 \title{Extract one cell from each row (column) of a matrix-like object}
7 7
 \usage{
8
-\S4method{colCollapse}{dgCMatrix}(x, idxs = idxs, cols = NULL, ...)
8
+\S4method{colCollapse}{dgCMatrix}(x, idxs, cols = NULL)
9 9
 
10
-\S4method{rowCollapse}{dgCMatrix}(x, idxs, rows = NULL, ...)
10
+\S4method{rowCollapse}{dgCMatrix}(x, idxs, rows = NULL)
11 11
 }
12 12
 \arguments{
13 13
 \item{x}{An NxK matrix-like object.}
... ...
@@ -19,8 +19,6 @@ It is recycled to match the number of rows (column)}
19 19
 (and/or columns) to operate over. If \code{\link[base]{NULL}}, no
20 20
 subsetting is done.}
21 21
 
22
-\item{...}{Additional arguments passed to specific methods.}
23
-
24 22
 \item{rows}{A \code{\link[base]{vector}} indicating the subset of rows
25 23
 (and/or columns) to operate over. If \code{\link[base]{NULL}}, no
26 24
 subsetting is done.}
... ...
@@ -6,9 +6,9 @@
6 6
 \title{Count how often an element in a row (column) of a matrix-like object is
7 7
 equal to a value}
8 8
 \usage{
9
-\S4method{colCounts}{dgCMatrix}(x, rows = NULL, cols = NULL, value = TRUE, na.rm = FALSE, ...)
9
+\S4method{colCounts}{dgCMatrix}(x, rows = NULL, cols = NULL, value = TRUE, na.rm = FALSE)
10 10
 
11
-\S4method{rowCounts}{dgCMatrix}(x, rows = NULL, cols = NULL, value = TRUE, na.rm = FALSE, ...)
11
+\S4method{rowCounts}{dgCMatrix}(x, rows = NULL, cols = NULL, value = TRUE, na.rm = FALSE)
12 12
 }
13 13
 \arguments{
14 14
 \item{x}{An NxK matrix-like object.}
... ...
@@ -25,8 +25,6 @@ subsetting is done.}
25 25
 
26 26
 \item{na.rm}{If \code{\link[base:logical]{TRUE}}, \code{\link[base]{NA}}s
27 27
 are excluded first, otherwise not.}
28
-
29
-\item{...}{Additional arguments passed to specific methods.}
30 28
 }
31 29
 \value{
32 30
 Returns a \code{\link[base]{integer}} \code{\link[base]{vector}} of
... ...
@@ -6,9 +6,9 @@
6 6
 \title{Calculates the cumulative maxima for each row (column) of a matrix-like
7 7
 object}
8 8
 \usage{
9
-\S4method{colCummaxs}{dgCMatrix}(x, rows = NULL, cols = NULL, ...)
9
+\S4method{colCummaxs}{dgCMatrix}(x, rows = NULL, cols = NULL)
10 10
 
11
-\S4method{rowCummaxs}{dgCMatrix}(x, rows = NULL, cols = NULL, ...)
11
+\S4method{rowCummaxs}{dgCMatrix}(x, rows = NULL, cols = NULL)
12 12
 }
13 13
 \arguments{
14 14
 \item{x}{An NxK matrix-like object.}
... ...
@@ -20,8 +20,6 @@ subsetting is done.}
20 20
 \item{cols}{A \code{\link[base]{vector}} indicating the subset of rows
21 21
 (and/or columns) to operate over. If \code{\link[base]{NULL}}, no
22 22
 subsetting is done.}
23
-
24
-\item{...}{Additional arguments passed to specific methods.}
25 23
 }
26 24
 \value{
27 25
 Returns a \code{\link[base]{numeric}} \code{\link[base]{matrix}}
... ...
@@ -6,9 +6,9 @@
6 6
 \title{Calculates the cumulative minima for each row (column) of a matrix-like
7 7
 object}
8 8
 \usage{
9
-\S4method{colCummins}{dgCMatrix}(x, rows = NULL, cols = NULL, ...)
9
+\S4method{colCummins}{dgCMatrix}(x, rows = NULL, cols = NULL)
10 10
 
11
-\S4method{rowCummins}{dgCMatrix}(x, rows = NULL, cols = NULL, ...)
11
+\S4method{rowCummins}{dgCMatrix}(x, rows = NULL, cols = NULL)
12 12
 }
13 13
 \arguments{
14 14
 \item{x}{An NxK matrix-like object.}
... ...
@@ -20,8 +20,6 @@ subsetting is done.}
20 20
 \item{cols}{A \code{\link[base]{vector}} indicating the subset of rows
21 21
 (and/or columns) to operate over. If \code{\link[base]{NULL}}, no
22 22
 subsetting is done.}
23
-
24
-\item{...}{Additional arguments passed to specific methods.}
25 23
 }
26 24
 \value{
27 25
 Returns a \code{\link[base]{numeric}} \code{\link[base]{matrix}}
... ...
@@ -6,9 +6,9 @@
6 6
 \title{Calculates the cumulative product for each row (column) of a matrix-like
7 7
 object}
8 8
 \usage{
9
-\S4method{colCumprods}{dgCMatrix}(x, rows = NULL, cols = NULL, ...)
9
+\S4method{colCumprods}{dgCMatrix}(x, rows = NULL, cols = NULL)
10 10
 
11
-\S4method{rowCumprods}{dgCMatrix}(x, rows = NULL, cols = NULL, ...)
11
+\S4method{rowCumprods}{dgCMatrix}(x, rows = NULL, cols = NULL)
12 12
 }
13 13
 \arguments{
14 14
 \item{x}{An NxK matrix-like object.}
... ...
@@ -20,8 +20,6 @@ subsetting is done.}
20 20
 \item{cols}{A \code{\link[base]{vector}} indicating the subset of rows
21 21
 (and/or columns) to operate over. If \code{\link[base]{NULL}}, no
22 22
 subsetting is done.}
23
-
24
-\item{...}{Additional arguments passed to specific methods.}
25 23
 }
26 24
 \value{
27 25
 Returns a \code{\link[base]{numeric}} \code{\link[base]{matrix}}
... ...
@@ -5,9 +5,9 @@
5 5
 \alias{rowCumsums,dgCMatrix-method}
6 6
 \title{Calculates the cumulative sum for each row (column) of a matrix-like object}
7 7
 \usage{
8
-\S4method{colCumsums}{dgCMatrix}(x, rows = NULL, cols = NULL, ...)
8
+\S4method{colCumsums}{dgCMatrix}(x, rows = NULL, cols = NULL)
9 9
 
10
-\S4method{rowCumsums}{dgCMatrix}(x, rows = NULL, cols = NULL, ...)
10
+\S4method{rowCumsums}{dgCMatrix}(x, rows = NULL, cols = NULL)
11 11
 }
12 12
 \arguments{
13 13
 \item{x}{An NxK matrix-like object.}
... ...
@@ -19,8 +19,6 @@ subsetting is done.}
19 19
 \item{cols}{A \code{\link[base]{vector}} indicating the subset of rows
20 20
 (and/or columns) to operate over. If \code{\link[base]{NULL}}, no
21 21
 subsetting is done.}
22
-
23
-\item{...}{Additional arguments passed to specific methods.}
24 22
 }
25 23
 \value{
26 24
 Returns a \code{\link[base]{numeric}} \code{\link[base]{matrix}}
... ...
@@ -6,9 +6,9 @@
6 6
 \title{Calculates the difference between each element of a row (column) of a
7 7
 matrix-like object}
8 8
 \usage{
9
-\S4method{colDiffs}{dgCMatrix}(x, rows = NULL, cols = NULL, lag = 1L, differences = 1L, ...)
9
+\S4method{colDiffs}{dgCMatrix}(x, rows = NULL, cols = NULL, lag = 1L, differences = 1L)
10 10
 
11
-\S4method{rowDiffs}{dgCMatrix}(x, rows = NULL, cols = NULL, lag = 1L, differences = 1L, ...)
11
+\S4method{rowDiffs}{dgCMatrix}(x, rows = NULL, cols = NULL, lag = 1L, differences = 1L)
12 12
 }
13 13
 \arguments{
14 14
 \item{x}{An NxK matrix-like object.}
... ...
@@ -24,8 +24,6 @@ subsetting is done.}
24 24
 \item{lag}{An integer specifying the lag.}
25 25
 
26 26
 \item{differences}{An integer specifying the order of difference.}
27
-
28
-\item{...}{Additional arguments passed to specific methods.}
29 27
 }
30 28
 \value{
31 29
 Returns a \code{\link[base]{numeric}} \code{\link[base]{matrix}}
... ...
@@ -6,25 +6,9 @@
6 6
 \title{Calculates the interquartile range of the difference between each element of
7 7
 a row (column) of a matrix-like object}
8 8
 \usage{
9
-\S4method{colIQRDiffs}{dgCMatrix}(
10
-  x,
11
-  rows = NULL,
12
-  cols = NULL,
13
-  na.rm = FALSE,
14
-  diff = 1L,
15
-  trim = 0,
16
-  ...
17
-)
9
+\S4method{colIQRDiffs}{dgCMatrix}(x, rows = NULL, cols = NULL, na.rm = FALSE, diff = 1L, trim = 0)
18 10
 
19
-\S4method{rowIQRDiffs}{dgCMatrix}(
20
-  x,
21
-  rows = NULL,
22
-  cols = NULL,
23
-  na.rm = FALSE,
24
-  diff = 1L,
25
-  trim = 0,
26
-  ...
27
-)
11
+\S4method{rowIQRDiffs}{dgCMatrix}(x, rows = NULL, cols = NULL, na.rm = FALSE, diff = 1L, trim = 0)
28 12
 }
29 13
 \arguments{
30 14
 \item{x}{An NxK matrix-like object.}
... ...
@@ -44,8 +28,6 @@ are excluded first, otherwise not.}
44 28
 
45 29
 \item{trim}{A double in [0,1/2] specifying the fraction of observations to
46 30
 be trimmed from each end of (sorted) x before estimation.}
47
-
48
-\item{...}{Additional arguments passed to specific methods.}
49 31
 }
50 32
 \value{
51 33
 Returns a \code{\link[base]{numeric}} \code{\link[base]{vector}} of
... ...
@@ -6,9 +6,9 @@
6 6
 \title{Calculates the interquartile range for each row (column) of a matrix-like
7 7
 object}
8 8
 \usage{
9
-\S4method{colIQRs}{dgCMatrix}(x, rows = NULL, cols = NULL, na.rm = FALSE, ...)
9
+\S4method{colIQRs}{dgCMatrix}(x, rows = NULL, cols = NULL, na.rm = FALSE)
10 10
 
11
-\S4method{rowIQRs}{dgCMatrix}(x, rows = NULL, cols = NULL, na.rm = FALSE, ...)
11
+\S4method{rowIQRs}{dgCMatrix}(x, rows = NULL, cols = NULL, na.rm = FALSE)
12 12
 }
13 13
 \arguments{
14 14
 \item{x}{An NxK matrix-like object.}
... ...
@@ -23,8 +23,6 @@ subsetting is done.}
23 23
 
24 24
 \item{na.rm}{If \code{\link[base:logical]{TRUE}}, \code{\link[base]{NA}}s
25 25
 are excluded first, otherwise not.}
26
-
27
-\item{...}{Additional arguments passed to specific methods.}
28 26
 }
29 27
 \value{
30 28
 Returns a \code{\link[base]{numeric}} \code{\link[base]{vector}} of
... ...
@@ -6,9 +6,9 @@
6 6
 \title{Accurately calculates the logarithm of the sum of exponentials for each row
7 7
 (column) of a matrix-like object}
8 8
 \usage{
9
-\S4method{colLogSumExps}{dgCMatrix}(lx, rows = NULL, cols = NULL, na.rm = FALSE, ...)
9
+\S4method{colLogSumExps}{dgCMatrix}(lx, rows = NULL, cols = NULL, na.rm = FALSE)
10 10
 
11
-\S4method{rowLogSumExps}{dgCMatrix}(lx, rows = NULL, cols = NULL, na.rm = FALSE, ...)
11
+\S4method{rowLogSumExps}{dgCMatrix}(lx, rows = NULL, cols = NULL, na.rm = FALSE)
12 12
 }
13 13
 \arguments{
14 14
 \item{lx}{An NxK matrix-like object. Typically \code{lx} are \code{log(x)} values.}
... ...
@@ -23,8 +23,6 @@ done.}
23 23
 
24 24
 \item{na.rm}{If \code{\link[base:logical]{TRUE}}, \code{\link[base]{NA}}s
25 25
 are excluded first, otherwise not.}
26
-
27
-\item{...}{Additional arguments passed to specific methods.}
28 26
 }
29 27
 \value{
30 28
 Returns a \code{\link[base]{numeric}} \code{\link[base]{vector}} of
... ...
@@ -13,8 +13,7 @@ element of a row (column) of a matrix-like object}
13 13
   na.rm = FALSE,
14 14
   diff = 1L,
15 15
   trim = 0,
16
-  constant = 1.4826,
17
-  ...
16
+  constant = 1.4826
18 17
 )
19 18
 
20 19
 \S4method{rowMadDiffs}{dgCMatrix}(
... ...
@@ -24,8 +23,7 @@ element of a row (column) of a matrix-like object}
24 23
   na.rm = FALSE,
25 24
   diff = 1L,
26 25
   trim = 0,
27
-  constant = 1.4826,
28
-  ...
26
+  constant = 1.4826
29 27
 )
30 28
 }
31 29
 \arguments{
... ...
@@ -48,8 +46,6 @@ are excluded first, otherwise not.}
48 46
 be trimmed from each end of (sorted) x before estimation.}
49 47
 
50 48
 \item{constant}{A scale factor. See \code{\link{mad}} for details.}
51
-
52
-\item{...}{Additional arguments passed to specific methods.}
53 49
 }
54 50
 \value{
55 51
 Returns a \code{\link[base]{numeric}} \code{\link[base]{vector}} of
... ...
@@ -6,25 +6,9 @@
6 6
 \title{Calculates the median absolute deviation for each row (column) of a
7 7
 matrix-like object}
8 8
 \usage{
9
-\S4method{colMads}{dgCMatrix}(
10
-  x,
11
-  rows = NULL,
12
-  cols = NULL,
13
-  center = NULL,
14
-  constant = 1.4826,
15
-  na.rm = FALSE,
16
-  ...
17
-)
9
+\S4method{colMads}{dgCMatrix}(x, rows = NULL, cols = NULL, constant = 1.4826, na.rm = FALSE)
18 10
 
19
-\S4method{rowMads}{dgCMatrix}(
20
-  x,
21
-  rows = NULL,
22
-  cols = NULL,
23
-  center = NULL,
24
-  constant = 1.4826,
25
-  na.rm = FALSE,
26
-  ...
27
-)
11
+\S4method{rowMads}{dgCMatrix}(x, rows = NULL, cols = NULL, constant = 1.4826, na.rm = FALSE)
28 12
 }
29 13
 \arguments{
30 14
 \item{x}{An NxK matrix-like object.}
... ...
@@ -37,15 +21,11 @@ subsetting is done.}
37 21
 (and/or columns) to operate over. If \code{\link[base]{NULL}}, no
38 22
 subsetting is done.}
39 23
 
40
-\item{center}{(optional) the center, defaults to the row means}
41
-
42 24
 \item{constant}{A scale factor. See \code{stats::\link[stats]{mad}()} for
43 25
 details.}
44 26
 
45 27
 \item{na.rm}{If \code{\link[base:logical]{TRUE}}, \code{\link[base]{NA}}s
46 28
 are excluded first, otherwise not.}
47
-
48
-\item{...}{Additional arguments passed to specific methods.}
49 29
 }
50 30
 \value{
51 31
 Returns a \code{\link[base]{numeric}} \code{\link[base]{vector}} of
... ...
@@ -5,9 +5,9 @@
5 5
 \alias{rowMaxs,dgCMatrix-method}
6 6
 \title{Calculates the maximum for each row (column) of a matrix-like object}
7 7
 \usage{
8
-\S4method{colMaxs}{dgCMatrix}(x, rows = NULL, cols = NULL, na.rm = FALSE, ...)
8
+\S4method{colMaxs}{dgCMatrix}(x, rows = NULL, cols = NULL, na.rm = FALSE)
9 9
 
10
-\S4method{rowMaxs}{dgCMatrix}(x, rows = NULL, cols = NULL, na.rm = FALSE, ...)
10
+\S4method{rowMaxs}{dgCMatrix}(x, rows = NULL, cols = NULL, na.rm = FALSE)
11 11
 }
12 12
 \arguments{
13 13
 \item{x}{An NxK matrix-like object.}
... ...
@@ -22,8 +22,6 @@ subsetting is done.}
22 22
 
23 23
 \item{na.rm}{If \code{\link[base:logical]{TRUE}}, \code{\link[base]{NA}}s
24 24
 are excluded first, otherwise not.}
25
-
26
-\item{...}{Additional arguments passed to specific methods.}
27 25
 }
28 26
 \value{
29 27
 Returns a \code{\link[base]{numeric}} \code{\link[base]{vector}} of
... ...
@@ -5,9 +5,9 @@
5 5
 \alias{rowMeans2,dgCMatrix-method}
6 6
 \title{Calculates the mean for each row (column) of a matrix-like object}
7 7
 \usage{
8
-\S4method{colMeans2}{dgCMatrix}(x, rows = NULL, cols = NULL, na.rm = FALSE, ...)
8
+\S4method{colMeans2}{dgCMatrix}(x, rows = NULL, cols = NULL, na.rm = FALSE)
9 9
 
10
-\S4method{rowMeans2}{dgCMatrix}(x, rows = NULL, cols = NULL, na.rm = FALSE, ...)
10
+\S4method{rowMeans2}{dgCMatrix}(x, rows = NULL, cols = NULL, na.rm = FALSE)
11 11
 }
12 12
 \arguments{
13 13
 \item{x}{An NxK matrix-like object.}
... ...
@@ -22,8 +22,6 @@ subsetting is done.}
22 22
 
23 23
 \item{na.rm}{If \code{\link[base:logical]{TRUE}}, \code{\link[base]{NA}}s
24 24
 are excluded first, otherwise not.}
25
-
26
-\item{...}{Additional arguments passed to specific methods.}
27 25
 }
28 26
 \value{
29 27
 Returns a \code{\link[base]{numeric}} \code{\link[base]{vector}} of
... ...
@@ -5,9 +5,9 @@
5 5
 \alias{rowMedians,dgCMatrix-method}
6 6
 \title{Calculates the median for each row (column) of a matrix-like object}
7 7
 \usage{
8
-\S4method{colMedians}{dgCMatrix}(x, rows = NULL, cols = NULL, na.rm = FALSE, ...)
8
+\S4method{colMedians}{dgCMatrix}(x, rows = NULL, cols = NULL, na.rm = FALSE)
9 9
 
10
-\S4method{rowMedians}{dgCMatrix}(x, rows = NULL, cols = NULL, na.rm = FALSE, ...)
10
+\S4method{rowMedians}{dgCMatrix}(x, rows = NULL, cols = NULL, na.rm = FALSE)
11 11
 }
12 12
 \arguments{
13 13
 \item{x}{An NxK matrix-like object.}
... ...
@@ -22,8 +22,6 @@ subsetting is done.}
22 22
 
23 23
 \item{na.rm}{If \code{\link[base:logical]{TRUE}}, \code{\link[base]{NA}}s
24 24
 are excluded first, otherwise not.}
25
-
26
-\item{...}{Additional arguments passed to specific methods.}
27 25
 }
28 26
 \value{
29 27
 Returns a \code{\link[base]{numeric}} \code{\link[base]{vector}} of
... ...
@@ -5,9 +5,9 @@
5 5
 \alias{rowMins,dgCMatrix-method}
6 6
 \title{Calculates the minimum for each row (column) of a matrix-like object}
7 7
 \usage{
8
-\S4method{colMins}{dgCMatrix}(x, rows = NULL, cols = NULL, na.rm = FALSE, ...)
8
+\S4method{colMins}{dgCMatrix}(x, rows = NULL, cols = NULL, na.rm = FALSE)
9 9
 
10
-\S4method{rowMins}{dgCMatrix}(x, rows = NULL, cols = NULL, na.rm = FALSE, ...)
10
+\S4method{rowMins}{dgCMatrix}(x, rows = NULL, cols = NULL, na.rm = FALSE)
11 11
 }
12 12
 \arguments{
13 13
 \item{x}{An NxK matrix-like object.}
... ...
@@ -22,8 +22,6 @@ subsetting is done.}
22 22
 
23 23
 \item{na.rm}{If \code{\link[base:logical]{TRUE}}, \code{\link[base]{NA}}s
24 24
 are excluded first, otherwise not.}
25
-
26
-\item{...}{Additional arguments passed to specific methods.}
27 25
 }
28 26
 \value{
29 27
 Returns a \code{\link[base]{numeric}} \code{\link[base]{vector}} of
... ...
@@ -5,9 +5,9 @@
5 5
 \alias{rowOrderStats,dgCMatrix-method}
6 6
 \title{Calculates an order statistic for each row (column) of a matrix-like object}
7 7
 \usage{
8
-\S4method{colOrderStats}{dgCMatrix}(x, rows = NULL, cols = NULL, which = 1, na.rm = FALSE, ...)
8
+\S4method{colOrderStats}{dgCMatrix}(x, rows = NULL, cols = NULL, which = 1, na.rm = FALSE)
9 9
 
10
-\S4method{rowOrderStats}{dgCMatrix}(x, rows = NULL, cols = NULL, which = 1, na.rm = FALSE, ...)
10
+\S4method{rowOrderStats}{dgCMatrix}(x, rows = NULL, cols = NULL, which = 1, na.rm = FALSE)
11 11
 }
12 12
 \arguments{
13 13
 \item{x}{An NxK matrix-like object.}
... ...
@@ -24,8 +24,6 @@ subsetting is done.}
24 24
 statistic to be returned}
25 25
 
26 26
 \item{na.rm}{If TRUE, NAs are excluded first, otherwise not.}
27
-
28
-\item{...}{Additional arguments passed to specific methods.}
29 27
 }
30 28
 \value{
31 29
 Returns a \code{\link[base]{numeric}} \code{\link[base]{vector}} of
... ...
@@ -5,9 +5,9 @@
5 5
 \alias{rowProds,dgCMatrix-method}
6 6
 \title{Calculates the product for each row (column) in a matrix}
7 7
 \usage{
8
-\S4method{colProds}{dgCMatrix}(x, rows = NULL, cols = NULL, na.rm = FALSE, ...)
8
+\S4method{colProds}{dgCMatrix}(x, rows = NULL, cols = NULL, na.rm = FALSE)
9 9
 
10
-\S4method{rowProds}{dgCMatrix}(x, rows = NULL, cols = NULL, na.rm = FALSE, ...)
10
+\S4method{rowProds}{dgCMatrix}(x, rows = NULL, cols = NULL, na.rm = FALSE)
11 11
 }
12 12
 \arguments{
13 13
 \item{x}{An NxK matrix-like object.}
... ...
@@ -22,8 +22,6 @@ subsetting is done.}
22 22
 
23 23
 \item{na.rm}{If \code{\link[base:logical]{TRUE}}, \code{\link[base]{NA}}s
24 24
 are excluded first, otherwise not.}
25
-
26
-\item{...}{Additional arguments passed to specific methods.}
27 25
 }
28 26
 \value{
29 27
 Returns a \code{\link[base]{numeric}} \code{\link[base]{vector}} of
... ...
@@ -6,9 +6,9 @@
6 6
 \title{Calculates the minimum and maximum for each row (column) of a matrix-like
7 7
 object}
8 8
 \usage{
9
-\S4method{colRanges}{dgCMatrix}(x, rows = NULL, cols = NULL, na.rm = FALSE, ...)
9
+\S4method{colRanges}{dgCMatrix}(x, rows = NULL, cols = NULL, na.rm = FALSE)
10 10
 
11
-\S4method{rowRanges}{dgCMatrix}(x, rows = NULL, cols = NULL, na.rm = FALSE, ...)
11
+\S4method{rowRanges}{dgCMatrix}(x, rows = NULL, cols = NULL, na.rm = FALSE)
12 12
 }
13 13
 \arguments{
14 14
 \item{x}{An NxK matrix-like object.}
... ...
@@ -23,8 +23,6 @@ subsetting is done.}
23 23
 
24 24
 \item{na.rm}{If \code{\link[base:logical]{TRUE}}, \code{\link[base]{NA}}s
25 25
 are excluded first, otherwise not.}
26
-
27
-\item{...}{Additional arguments passed to specific methods.}
28 26
 }
29 27
 \value{
30 28
 a \code{\link[base]{numeric}} \code{Nx2} (\code{Kx2})
... ...
@@ -12,8 +12,7 @@ object}
12 12
   cols = NULL,
13 13
   ties.method = c("max", "average", "min"),
14 14
   preserve.shape = FALSE,
15
-  na.handling = c("keep", "last"),
16
-  ...
15
+  na.handling = c("keep", "last")
17 16
 )
18 17
 
19 18
 \S4method{rowRanks}{dgCMatrix}(
... ...
@@ -22,8 +21,7 @@ object}
22 21
   cols = NULL,
23 22
   ties.method = c("max", "average", "min"),
24 23
   preserve.shape = TRUE,
25
-  na.handling = c("keep", "last"),
26
-  ...
24
+  na.handling = c("keep", "last")
27 25
 )
28 26
 }
29 27
 \arguments{
... ...
@@ -47,8 +45,6 @@ dimensions as the input matrix. By default this is true for `rowRanks()`, but fa
47 45
 
48 46
 \item{na.handling}{string specifying how `NA`s are handled. They can either be preserved with an `NA` rank
49 47
 ('keep') or sorted in at the end ('last'). Default is 'keep' derived from the behavior of the equivalent}
50
-
51
-\item{...}{Additional arguments passed to specific methods.}
52 48
 }
53 49
 \value{
54 50
 a matrix of type \code{\link[base]{integer}} is returned unless
... ...
@@ -6,25 +6,9 @@
6 6
 \title{Calculates the standard deviation of the difference between each element of
7 7
 a row (column) of a matrix-like object}
8 8
 \usage{
9
-\S4method{colSdDiffs}{dgCMatrix}(
10
-  x,
11
-  rows = NULL,
12
-  cols = NULL,
13
-  na.rm = FALSE,
14
-  diff = 1L,
15
-  trim = 0,
16
-  ...
17
-)
9
+\S4method{colSdDiffs}{dgCMatrix}(x, rows = NULL, cols = NULL, na.rm = FALSE, diff = 1L, trim = 0)
18 10
 
19
-\S4method{rowSdDiffs}{dgCMatrix}(
20
-  x,
21
-  rows = NULL,
22
-  cols = NULL,
23
-  na.rm = FALSE,
24
-  diff = 1L,
25
-  trim = 0,
26
-  ...
27
-)
11
+\S4method{rowSdDiffs}{dgCMatrix}(x, rows = NULL, cols = NULL, na.rm = FALSE, diff = 1L, trim = 0)
28 12
 }
29 13
 \arguments{
30 14
 \item{x}{An NxK matrix-like object.}
... ...
@@ -44,8 +28,6 @@ are excluded first, otherwise not.}
44 28
 
45 29
 \item{trim}{A double in [0,1/2] specifying the fraction of observations to
46 30
 be trimmed from each end of (sorted) x before estimation.}
47
-
48
-\item{...}{Additional arguments passed to specific methods.}
49 31
 }
50 32
 \value{
51 33
 Returns a \code{\link[base]{numeric}} \code{\link[base]{vector}} of
... ...
@@ -6,9 +6,9 @@
6 6
 \title{Calculates the standard deviation for each row (column) of a matrix-like
7 7
 object}
8 8
 \usage{
9
-\S4method{colSds}{dgCMatrix}(x, rows = NULL, cols = NULL, na.rm = FALSE, center = NULL, ...)
9
+\S4method{colSds}{dgCMatrix}(x, rows = NULL, cols = NULL, na.rm = FALSE)
10 10
 
11
-\S4method{rowSds}{dgCMatrix}(x, rows = NULL, cols = NULL, na.rm = FALSE, center = NULL, ...)
11
+\S4method{rowSds}{dgCMatrix}(x, rows = NULL, cols = NULL, na.rm = FALSE)
12 12
 }
13 13
 \arguments{
14 14
 \item{x}{An NxK matrix-like object.}
... ...
@@ -23,10 +23,6 @@ subsetting is done.}
23 23
 
24 24
 \item{na.rm}{If \code{\link[base:logical]{TRUE}}, \code{\link[base]{NA}}s
25 25
 are excluded first, otherwise not.}
26
-
27
-\item{center}{(optional) the center, defaults to the row means}
28
-
29
-\item{...}{Additional arguments passed to specific methods.}
30 26
 }
31 27
 \value{
32 28
 Returns a \code{\link[base]{numeric}} \code{\link[base]{vector}} of
... ...
@@ -5,9 +5,9 @@
5 5
 \alias{rowSums2,dgCMatrix-method}
6 6
 \title{Calculates the sum for each row (column) of a matrix-like object}
7 7
 \usage{
8
-\S4method{colSums2}{dgCMatrix}(x, rows = NULL, cols = NULL, na.rm = FALSE, ...)
8
+\S4method{colSums2}{dgCMatrix}(x, rows = NULL, cols = NULL, na.rm = FALSE)
9 9
 
10
-\S4method{rowSums2}{dgCMatrix}(x, rows = NULL, cols = NULL, na.rm = FALSE, ...)
10
+\S4method{rowSums2}{dgCMatrix}(x, rows = NULL, cols = NULL, na.rm = FALSE)
11 11
 }
12 12
 \arguments{
13 13
 \item{x}{An NxK matrix-like object.}
... ...
@@ -22,8 +22,6 @@ subsetting is done.}
22 22
 
23 23
 \item{na.rm}{If \code{\link[base:logical]{TRUE}}, \code{\link[base]{NA}}s
24 24
 are excluded first, otherwise not.}
25
-
26
-\item{...}{Additional arguments passed to specific methods.}
27 25
 }
28 26
 \value{
29 27
 Returns a \code{\link[base]{numeric}} \code{\link[base]{vector}} of
... ...
@@ -5,9 +5,9 @@
5 5
 \alias{rowTabulates,dgCMatrix-method}
6 6
 \title{Tabulates the values in a matrix-like object by row (column)}
7 7
 \usage{
8
-\S4method{colTabulates}{dgCMatrix}(x, rows = NULL, cols = NULL, values = NULL, ...)
8
+\S4method{colTabulates}{dgCMatrix}(x, rows = NULL, cols = NULL, values = NULL)
9 9
 
10
-\S4method{rowTabulates}{dgCMatrix}(x, rows = NULL, cols = NULL, values = NULL, ...)
10
+\S4method{rowTabulates}{dgCMatrix}(x, rows = NULL, cols = NULL, values = NULL)
11 11
 }
12 12
 \arguments{
13 13
 \item{x}{An NxK matrix-like object.}
... ...
@@ -21,8 +21,6 @@ subsetting is done.}
21 21
 subsetting is done.}
22 22
 
23 23
 \item{values}{the values to search for.}
24
-
25
-\item{...}{Additional arguments passed to specific methods.}
26 24
 }
27 25
 \value{
28 26
 a \code{\link[base]{numeric}} \code{NxJ} (\code{KxJ})
... ...
@@ -6,25 +6,9 @@
6 6
 \title{Calculates the variance of the difference between each element of a row
7 7
 (column) of a matrix-like object}
8 8
 \usage{
9
-\S4method{colVarDiffs}{dgCMatrix}(
10
-  x,
11
-  rows = NULL,
12
-  cols = NULL,
13
-  na.rm = FALSE,
14
-  diff = 1L,
15
-  trim = 0,
16
-  ...
17
-)
9
+\S4method{colVarDiffs}{dgCMatrix}(x, rows = NULL, cols = NULL, na.rm = FALSE, diff = 1L, trim = 0)
18 10
 
19
-\S4method{rowVarDiffs}{dgCMatrix}(
20
-  x,
21
-  rows = NULL,
22
-  cols = NULL,
23
-  na.rm = FALSE,
24
-  diff = 1L,
25
-  trim = 0,
26
-  ...
27
-)
11
+\S4method{rowVarDiffs}{dgCMatrix}(x, rows = NULL, cols = NULL, na.rm = FALSE, diff = 1L, trim = 0)
28 12
 }
29 13
 \arguments{
30 14
 \item{x}{An NxK matrix-like object.}
... ...
@@ -44,8 +28,6 @@ are excluded first, otherwise not.}
44 28
 
45 29
 \item{trim}{A double in [0,1/2] specifying the fraction of observations to
46 30
 be trimmed from each end of (sorted) x before estimation.}
47
-
48
-\item{...}{Additional arguments passed to specific methods.}
49 31
 }
50 32
 \value{
51 33
 Returns a \code{\link[base]{numeric}} \code{\link[base]{vector}} of
... ...
@@ -5,9 +5,9 @@
5 5
 \alias{rowVars,dgCMatrix-method}
6 6
 \title{Calculates the variance for each row (column) of a matrix-like object}
7 7
 \usage{
8
-\S4method{colVars}{dgCMatrix}(x, rows = NULL, cols = NULL, na.rm = FALSE, center = NULL, ...)
8
+\S4method{colVars}{dgCMatrix}(x, rows = NULL, cols = NULL, na.rm = FALSE)
9 9
 
10
-\S4method{rowVars}{dgCMatrix}(x, rows = NULL, cols = NULL, na.rm = FALSE, center = NULL, ...)
10
+\S4method{rowVars}{dgCMatrix}(x, rows = NULL, cols = NULL, na.rm = FALSE)
11 11
 }
12 12
 \arguments{
13 13
 \item{x}{An NxK matrix-like object.}
... ...
@@ -22,10 +22,6 @@ subsetting is done.}
22 22
 
23 23
 \item{na.rm}{If \code{\link[base:logical]{TRUE}}, \code{\link[base]{NA}}s
24 24
 are excluded first, otherwise not.}
25
-
26
-\item{center}{(optional) the center, defaults to the row means.}
27
-
28
-\item{...}{Additional arguments passed to specific methods.}
29 25
 }
30 26
 \value{
31 27
 Returns a \code{\link[base]{numeric}} \code{\link[base]{vector}} of
... ...
@@ -13,8 +13,7 @@ matrix-like object}
13 13
   cols = NULL,
14 14
   na.rm = FALSE,
15 15
   constant = 1.4826,
16
-  center = NULL,
17
-  ...
16
+  center = NULL
18 17
 )
19 18
 
20 19
 \S4method{rowWeightedMads}{dgCMatrix}(
... ...
@@ -23,9 +22,7 @@ matrix-like object}
23 22
   rows = NULL,
24 23
   cols = NULL,
25 24
   na.rm = FALSE,
26
-  constant = 1.4826,
27
-  center = NULL,
28
-  ...
25
+  constant = 1.4826
29 26
 )
30 27
 }
31 28
 \arguments{
... ...
@@ -49,8 +46,6 @@ are excluded first, otherwise not.}
49 46
 details.}
50 47
 
51 48
 \item{center}{Not supported at the moment.}
52
-
53
-\item{...}{Additional arguments passed to specific methods.}
54 49
 }
55 50
 \value{
56 51
 Returns a \code{\link[base]{numeric}} \code{\link[base]{vector}} of
... ...
@@ -5,9 +5,9 @@
5 5
 \alias{rowWeightedMeans,dgCMatrix-method}
6 6
 \title{Calculates the weighted mean for each row (column) of a matrix-like object}
7 7
 \usage{
8
-\S4method{colWeightedMeans}{dgCMatrix}(x, w = NULL, rows = NULL, cols = NULL, na.rm = FALSE, ...)
8
+\S4method{colWeightedMeans}{dgCMatrix}(x, w = NULL, rows = NULL, cols = NULL, na.rm = FALSE)
9 9
 
10
-\S4method{rowWeightedMeans}{dgCMatrix}(x, w = NULL, rows = NULL, cols = NULL, na.rm = FALSE, ...)
10
+\S4method{rowWeightedMeans}{dgCMatrix}(x, w = NULL, rows = NULL, cols = NULL, na.rm = FALSE)
11 11
 }
12 12
 \arguments{
13 13
 \item{x}{An NxK matrix-like object.}
... ...
@@ -25,8 +25,6 @@ subsetting is done.}
25 25
 
26 26
 \item{na.rm}{If \code{\link[base:logical]{TRUE}}, \code{\link[base]{NA}}s
27 27
 are excluded first, otherwise not.}
28
-
29
-\item{...}{Additional arguments passed to specific methods.}
30 28
 }
31 29
 \value{
32 30
 Returns a \code{\link[base]{numeric}} \code{\link[base]{vector}} of
... ...
@@ -5,9 +5,9 @@
5 5
 \alias{rowWeightedMedians,dgCMatrix-method}
6 6
 \title{Calculates the weighted median for each row (column) of a matrix-like object}
7 7
 \usage{
8
-\S4method{colWeightedMedians}{dgCMatrix}(x, w = NULL, rows = NULL, cols = NULL, na.rm = FALSE, ...)
8
+\S4method{colWeightedMedians}{dgCMatrix}(x, w = NULL, rows = NULL, cols = NULL, na.rm = FALSE)
9 9
 
10
-\S4method{rowWeightedMedians}{dgCMatrix}(x, w = NULL, rows = NULL, cols = NULL, na.rm = FALSE, ...)
10
+\S4method{rowWeightedMedians}{dgCMatrix}(x, w = NULL, rows = NULL, cols = NULL, na.rm = FALSE)
11 11
 }
12 12
 \arguments{
13 13
 \item{x}{An NxK matrix-like object.}
... ...
@@ -25,8 +25,6 @@ subsetting is done.}
25 25
 
26 26
 \item{na.rm}{If \code{\link[base:logical]{TRUE}}, \code{\link[base]{NA}}s
27 27
 are excluded first, otherwise not.}
28
-
29
-\item{...}{Additional arguments passed to specific methods.}
30 28
 }
31 29
 \value{
32 30
 Returns a \code{\link[base]{numeric}} \code{\link[base]{vector}} of
... ...
@@ -6,9 +6,9 @@
6 6
 \title{Calculates the weighted standard deviation for each row (column) of a
7 7
 matrix-like object}
8 8
 \usage{
9
-\S4method{colWeightedSds}{dgCMatrix}(x, w = NULL, rows = NULL, cols = NULL, na.rm = FALSE, ...)
9
+\S4method{colWeightedSds}{dgCMatrix}(x, w = NULL, rows = NULL, cols = NULL, na.rm = FALSE)
10 10
 
11
-\S4method{rowWeightedSds}{dgCMatrix}(x, w = NULL, rows = NULL, cols = NULL, na.rm = FALSE, ...)
11
+\S4method{rowWeightedSds}{dgCMatrix}(x, w = NULL, rows = NULL, cols = NULL, na.rm = FALSE)
12 12
 }
13 13
 \arguments{
14 14
 \item{x}{An NxK matrix-like object.}
... ...
@@ -26,8 +26,6 @@ subsetting is done.}
26 26
 
27 27
 \item{na.rm}{If \code{\link[base:logical]{TRUE}}, \code{\link[base]{NA}}s
28 28
 are excluded first, otherwise not.}
29
-
30
-\item{...}{Additional arguments passed to specific methods.}
31 29
 }
32 30
 \value{
33 31
 Returns a \code{\link[base]{numeric}} \code{\link[base]{vector}} of
... ...
@@ -6,9 +6,9 @@
6 6
 \title{Calculates the weighted variance for each row (column) of a matrix-like
7 7
 object}
8 8
 \usage{
9
-\S4method{colWeightedVars}{dgCMatrix}(x, w = NULL, rows = NULL, cols = NULL, na.rm = FALSE, ...)
9
+\S4method{colWeightedVars}{dgCMatrix}(x, w = NULL, rows = NULL, cols = NULL, na.rm = FALSE)
10 10
 
11
-\S4method{rowWeightedVars}{dgCMatrix}(x, w = NULL, rows = NULL, cols = NULL, na.rm = FALSE, ...)
11
+\S4method{rowWeightedVars}{dgCMatrix}(x, w = NULL, rows = NULL, cols = NULL, na.rm = FALSE)
12 12
 }
13 13
 \arguments{
14 14
 \item{x}{An NxK matrix-like object.}
... ...
@@ -26,8 +26,6 @@ subsetting is done.}
26 26
 
27 27
 \item{na.rm}{If \code{\link[base:logical]{TRUE}}, \code{\link[base]{NA}}s
28 28
 are excluded first, otherwise not.}
29
-
30
-\item{...}{Additional arguments passed to specific methods.}
31 29
 }
32 30
 \value{
33 31
 Returns a \code{\link[base]{numeric}} \code{\link[base]{vector}} of