Counts the number of occurrences of a specific value
The row- and column-wise functions take either a matrix or a vector as
input. If a vector, then argument dim.
must be specified and fulfill
prod(dim.) == length(x)
. The result will be identical to the results
obtained when passing matrix(x, nrow = dim.[1L], ncol = dim.[2L])
,
but avoids having to temporarily create/allocate a matrix, if only such is
needed only for these calculations.
rowCounts(x, rows = NULL, cols = NULL, value = TRUE, na.rm = FALSE, dim. = dim(x), ...) colCounts(x, rows = NULL, cols = NULL, value = TRUE, na.rm = FALSE, dim. = dim(x), ...) count(x, idxs = NULL, value = TRUE, na.rm = FALSE, ...)
Henrik Bengtsson
rowAlls
x <- matrix(0:11, nrow = 4, ncol = 3) x[2:3, 2:3] <- 2:5 x[3, 3] <- NA_integer_ print(x) print(rowCounts(x, value = 2)) ## [1] 0 1 NA 0 print(colCounts(x, value = 2)) ## [1] 1 1 NA print(colCounts(x, value = NA_integer_)) ## [1] 0 0 1 print(rowCounts(x, value = 2, na.rm = TRUE)) ## [1] 0 1 1 0 print(colCounts(x, value = 2, na.rm = TRUE)) ## [1] 1 1 0 print(rowAnys(x, value = 2)) ## [1] FALSE TRUE TRUE FALSE print(rowAnys(x, value = NA_integer_)) ## [1] FALSE FALSE TRUE FALSE print(colAnys(x, value = 2)) ## [1] TRUE TRUE NA print(colAnys(x, value = 2, na.rm = TRUE)) ## [1] TRUE TRUE FALSE print(colAlls(x, value = 2)) ## [1] FALSE FALSE FALSE
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