colCounts {DelayedMatrixStats} | R Documentation |
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.
colCounts(x, rows = NULL, cols = NULL, value = TRUE, na.rm = FALSE, dim. = dim(x), ...) rowCounts(x, rows = NULL, cols = NULL, value = TRUE, na.rm = FALSE, dim. = dim(x), ...) ## S4 method for signature 'DelayedMatrix' colCounts(x, rows = NULL, cols = NULL, value = TRUE, na.rm = FALSE, dim. = dim(x), force_block_processing = FALSE, ...) ## S4 method for signature 'DelayedMatrix' rowCounts(x, rows = NULL, cols = NULL, value = TRUE, na.rm = FALSE, dim. = dim(x), force_block_processing = FALSE, ...)
x |
A NxK DelayedMatrix. |
rows |
A |
cols |
A |
value |
A value to search for. |
na.rm |
|
dim. |
An |
... |
Additional arguments passed to specific methods. |
force_block_processing |
|
rowCounts()
(colCounts()
) returns an
integer
vector
of length N (K).
count()
returns a scalar of type integer
if
the count is less than 2^31-1 (= .Machine$integer.max
) otherwise
a scalar of type double
.
rowAlls
# A DelayedMatrix with a 'matrix' seed dm_matrix <- DelayedArray(matrix(c(rep(1L, 5), as.integer((0:4) ^ 2), seq(-5L, -1L, 1L)), ncol = 3)) # A DelayedMatrix with a 'DataFrame' seed dm_DF <- DelayedArray(S4Vectors::DataFrame(C1 = rep(1L, 5), C2 = as.integer((0:4) ^ 2), C3 = seq(-5L, -1L, 1L))) colCounts(dm_matrix, value = 1) # Only count those in the first 4 rows colCounts(dm_matrix, rows = 1:4, value = 1) rowCounts(dm_DF, value = 5) # Only count those in the odd-numbered rows of the 2nd column rowCounts(dm_DF, rows = seq(1, nrow(dm_DF), 2), cols = 2, value = 5)