Counts values by rows/columns using a predicate function.
Usage
count(x, ...)
# S4 method for data.frame
count(x, f, margin = 1, negate = FALSE, na.rm = FALSE, ...)
# S4 method for matrix
count(x, f, margin = 1, negate = FALSE, na.rm = FALSE, ...)
Arguments
- x
An R object (should be a
matrix
or adata.frame
).- ...
Further arguments to be passed to
f
.- f
A predicate
function
.- margin
A length-one
numeric
vector giving the subscripts which the function will be applied over (1
indicates rows,2
indicates columns).- negate
A
logical
scalar: should the negation off
be used instead off
?- na.rm
A
logical
scalar: shouldNA
values be stripped before the computation proceeds?
Value
A numeric
vector.
Examples
## Create a data matrix
X <- matrix(sample(1:10, 25, TRUE), nrow = 5, ncol = 5)
## Add NA
k <- sample(1:25, 3, FALSE)
X[k] <- NA
X
#> [,1] [,2] [,3] [,4] [,5]
#> [1,] 5 5 4 2 NA
#> [2,] 6 7 10 4 8
#> [3,] NA 1 2 9 7
#> [4,] 10 2 3 NA 5
#> [5,] 3 3 7 6 9
## Count missing values in rows
count(X, f = is.na, margin = 1)
#> [1] 1 0 1 1 0
## Count non-missing values in columns
count(X, f = is.na, margin = 2, negate = TRUE)
#> V1 V2 V3 V4 V5
#> 4 5 5 4 4