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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,88 @@ | ||
| #' Apply Functions Over matrix Margins | ||
| #' | ||
| #' @param X A `r rd_matrix()`. | ||
| #' @param MARGIN A single number giving the subscripts which the function will | ||
| #' be applied over, `1` indicates rows, `2` indicates columns. | ||
| #' @param FUN Function to be applied. `FUN` is found by a call to [match.fun] | ||
| #' and typically is either a function or a symbol (e.g., a backquoted name) or a | ||
| #' character string specifying a function to be searched for from the | ||
| #' environment of the call to apply. | ||
| #' @inheritParams base::apply | ||
| #' @return | ||
| #' If each call to `FUN` returns a vector of length `n`, and simplify is `TRUE`, | ||
| #' then `apply` returns an array of dimension `c(n, dim(X)[MARGIN])` if `n > 1`. | ||
| #' If `n` equals `1`, `apply` returns a vector if `MARGIN` has length 1 and an | ||
| #' array of dimension `dim(X)[MARGIN]` otherwise. If `n` is `0`, the result has | ||
| #' length 0 but not necessarily the ‘correct’ dimension. | ||
| #' | ||
| #' If the calls to `FUN` return vectors of different lengths, or if `simplify` | ||
| #' is `FALSE`, `apply` returns a list of length `dim(X)[MARGIN]`. | ||
| #' @importFrom DelayedArray apply | ||
| #' @aliases apply | ||
| #' @export | ||
| methods::setMethod( | ||
| "apply", "BPCellsMatrix", | ||
| function(X, MARGIN, FUN, ..., simplify = TRUE) { | ||
| assert_number(MARGIN) | ||
| FUN <- match.fun(FUN) | ||
| X_dim <- dim(X) | ||
| MARGIN <- as.integer(MARGIN) | ||
| if (MARGIN < 1L || MARGIN > length(X_dim)) { | ||
| cli::cli_abort( | ||
| "{.arg MARGIN} must be >= 1 and <= length(dim(X))" | ||
| ) | ||
| } | ||
| if (X_dim[[MARGIN]] == 0L) { | ||
| ## base::apply seems to be doing something like that! | ||
| ans <- FUN(X, ...) | ||
| return(as.vector(ans[0L])) | ||
| } | ||
| seed <- to_BPCells(X@seed) | ||
| values <- integer(dim(seed)[3L - MARGIN]) # nolint | ||
| nms <- switch(MARGIN, | ||
| rownames(seed), | ||
| colnames(seed) | ||
| ) | ||
| .fun <- switch(MARGIN, | ||
| function(.value, .row_index, .col_index, ...) { | ||
| # restore zero values | ||
| values[.col_index] <- .value | ||
| FUN(values, ...) | ||
| }, | ||
| function(.value, .row_index, .col_index, ...) { | ||
| # restore zero values | ||
| values[.row_index] <- .value | ||
| FUN(values, ...) | ||
| } | ||
| ) | ||
| ans <- switch(MARGIN, | ||
| { | ||
| if (BPCells::storage_order(seed) == "col") { | ||
| seed <- BPCells::transpose_storage_order(seed) | ||
| } | ||
| BPCells::apply_by_row(mat = seed, fun = .fun, ...) | ||
| }, | ||
| { | ||
| if (BPCells::storage_order(seed) == "row") { | ||
| seed <- BPCells::transpose_storage_order(seed) | ||
| } | ||
| BPCells::apply_by_col(mat = seed, fun = .fun, ...) | ||
| } | ||
| ) | ||
| if (simplify) { | ||
| lens <- lengths(ans) | ||
| if (all(lens == .subset(lens, 1L))) { | ||
| if (.subset(lens, 1L) == 1L) { | ||
| ans <- unlist(ans, recursive = FALSE, use.names = FALSE) | ||
| names(ans) <- nms | ||
| } else { | ||
| ans <- do.call(cbind, ans) | ||
| colnames(ans) <- nms | ||
| } | ||
| } | ||
| } else { | ||
| names(ans) <- nms | ||
| } | ||
| ans | ||
| } | ||
| ) |
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