rowCounts | 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.
rowCounts(x, rows = NULL, cols = NULL, value = TRUE, na.rm = FALSE,
dim. = dim(x), ..., useNames = TRUE)
colCounts(x, rows = NULL, cols = NULL, value = TRUE, na.rm = FALSE,
dim. = dim(x), ..., useNames = TRUE)
count(x, idxs = NULL, value = TRUE, na.rm = FALSE, ...)
x |
An NxK |
rows |
A |
cols |
A |
value |
A value to search for. |
na.rm |
If |
dim. |
An |
... |
Not used. |
useNames |
If |
idxs |
A |
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
.
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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