... | ... |
@@ -672,7 +672,7 @@ setMethod("colCummaxs", signature(x = "dgCMatrix"), |
672 | 672 |
# colRanks |
673 | 673 |
|
674 | 674 |
#' @inherit MatrixGenerics::colRanks |
675 |
-#' @param preserve.shape a boolean that specifies if the returned matrix has the same |
|
675 |
+#' @param preserveShape a boolean that specifies if the returned matrix has the same |
|
676 | 676 |
#' dimensions as the input matrix. By default this is true for `rowRanks()`, but false for |
677 | 677 |
#' `colRanks()`. |
678 | 678 |
#' @param na.handling string specifying how `NA`s are handled. They can either be preserved with an `NA` rank |
... | ... |
@@ -688,7 +688,7 @@ setMethod("colCummaxs", signature(x = "dgCMatrix"), |
688 | 688 |
#' } |
689 | 689 |
#' @export |
690 | 690 |
setMethod("colRanks", signature(x = "dgCMatrix"), |
691 |
- function(x, rows = NULL, cols = NULL, ties.method = c("max", "average", "min"), preserve.shape = FALSE, na.handling = c("keep", "last")){ |
|
691 |
+ function(x, rows = NULL, cols = NULL, ties.method = c("max", "average", "min"), preserveShape = FALSE, na.handling = c("keep", "last")){ |
|
692 | 692 |
if(! is.null(rows)){ |
693 | 693 |
x <- x[rows, , drop = FALSE] |
694 | 694 |
} |
... | ... |
@@ -698,9 +698,9 @@ setMethod("colRanks", signature(x = "dgCMatrix"), |
698 | 698 |
ties.method <- match.arg(ties.method, c("max", "average", "min")) |
699 | 699 |
na.handling <- match.arg(na.handling, c("keep", "last")) |
700 | 700 |
if(ties.method == "average"){ |
701 |
- dgCMatrix_colRanks_num(x, ties_method = ties.method, na_handling = na.handling, preserve_shape = preserve.shape) |
|
701 |
+ dgCMatrix_colRanks_num(x, ties_method = ties.method, na_handling = na.handling, preserve_shape = preserveShape) |
|
702 | 702 |
}else{ |
703 |
- dgCMatrix_colRanks_int(x, ties_method = ties.method, na_handling = na.handling, preserve_shape = preserve.shape) |
|
703 |
+ dgCMatrix_colRanks_int(x, ties_method = ties.method, na_handling = na.handling, preserve_shape = preserveShape) |
|
704 | 704 |
} |
705 | 705 |
}) |
706 | 706 |
|
... | ... |
@@ -492,14 +492,14 @@ setMethod("rowCummaxs", signature(x = "dgCMatrix"), |
492 | 492 |
#' @rdname colRanks-dgCMatrix-method |
493 | 493 |
#' @export |
494 | 494 |
setMethod("rowRanks", signature(x = "dgCMatrix"), |
495 |
- function(x, rows = NULL, cols = NULL, ties.method = c("max", "average", "min"), preserve.shape = TRUE, na.handling = c("keep", "last")){ |
|
495 |
+ function(x, rows = NULL, cols = NULL, ties.method = c("max", "average", "min"), preserveShape = TRUE, na.handling = c("keep", "last")){ |
|
496 | 496 |
if(! is.null(rows)){ |
497 | 497 |
x <- x[rows, , drop = FALSE] |
498 | 498 |
} |
499 | 499 |
if(! is.null(cols)){ |
500 | 500 |
x <- x[, cols, drop = FALSE] |
501 | 501 |
} |
502 |
- colRanks(t(x), ties.method = ties.method, preserve.shape = !preserve.shape, na.handling = na.handling) |
|
502 |
+ colRanks(t(x), ties.method = ties.method, preserveShape = ! preserveShape, na.handling = na.handling) |
|
503 | 503 |
}) |
504 | 504 |
|
505 | 505 |
|
... | ... |
@@ -11,7 +11,7 @@ object} |
11 | 11 |
rows = NULL, |
12 | 12 |
cols = NULL, |
13 | 13 |
ties.method = c("max", "average", "min"), |
14 |
- preserve.shape = FALSE, |
|
14 |
+ preserveShape = FALSE, |
|
15 | 15 |
na.handling = c("keep", "last") |
16 | 16 |
) |
17 | 17 |
|
... | ... |
@@ -39,7 +39,7 @@ done.} |
39 | 39 |
that the default specifies fewer options than the original matrixStats |
40 | 40 |
package.} |
41 | 41 |
|
42 |
-\item{preserve.shape}{a boolean that specifies if the returned matrix has the same |
|
42 |
+\item{preserveShape}{a boolean that specifies if the returned matrix has the same |
|
43 | 43 |
dimensions as the input matrix. By default this is true for `rowRanks()`, but false for |
44 | 44 |
`colRanks()`.} |
45 | 45 |
|