Column or Row Missing Counts and Proportions

Calculate the number or proportion of missing values per column or per row of a numeric matrix without allocating a full logical mask matrix.

Usage

mat_miss(obj, col = TRUE, prop = FALSE)

Arguments

obj

A numeric matrix.

col

Logical. If TRUE, compute column-wise. If FALSE, compute row-wise.

prop

Logical. If FALSE, return missing-value counts. If TRUE, return missing-value proportions.

Value

A numeric vector containing missing-value counts or proportions for columns or rows, named when the corresponding dimension names are present.

Examples

obj <- matrix(c(1, NA, 3, 4, NA, 6, NA, 8, 9), nrow = 3)
obj
#>      [,1] [,2] [,3]
#> [1,]    1    4   NA
#> [2,]   NA   NA    8
#> [3,]    3    6    9

# column missing counts
mat_miss(obj)
#> [1] 1 1 1

# row missing counts
mat_miss(obj, col = FALSE)
#> [1] 1 2 0

# column missing proportions
mat_miss(obj, prop = TRUE)
#> [1] 0.3333333 0.3333333 0.3333333