Checks if a value exists / does not exist in each row (column) of a matrix
Checks if a value exists / does not exist in each row (column) of a matrix.
rowAlls(x, rows = NULL, cols = NULL, value = TRUE, na.rm = FALSE, dim. = dim(x), ...) colAlls(x, rows = NULL, cols = NULL, value = TRUE, na.rm = FALSE, dim. = dim(x), ...) allValue(x, idxs = NULL, value = TRUE, na.rm = FALSE, ...) rowAnys(x, rows = NULL, cols = NULL, value = TRUE, na.rm = FALSE, dim. = dim(x), ...) colAnys(x, rows = NULL, cols = NULL, value = TRUE, na.rm = FALSE, dim. = dim(x), ...) anyValue(x, idxs = NULL, value = TRUE, na.rm = FALSE, ...)
These functions takes 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.
value
When value
is logical, the result is as if the function is applied
on as.logical(x)
. More specifically, if x
is numeric, then
all zeros are treated as FALSE
, non-zero values as TRUE
,
and all missing values as NA
.
Henrik Bengtsson
rowCounts
x <- matrix(FALSE, nrow = 10, ncol = 5) x[3:7, c(2, 4)] <- TRUE x[2:4, ] <- TRUE x[, 1] <- TRUE x[5, ] <- FALSE x[, 5] <- FALSE print(x) print(rowCounts(x)) # 1 4 4 4 0 3 3 1 1 1 print(colCounts(x)) # 9 5 3 5 0 print(rowAnys(x)) print(which(rowAnys(x))) # 1 2 3 4 6 7 8 9 10 print(colAnys(x)) print(which(colAnys(x))) # 1 2 3 4
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