remove_NA()
remove rows/columns that contain missing values.replace_NA
replaces missing values values.
Usage
remove_NA(x, ...)
replace_NA(x, ...)
# S4 method for ANY
remove_NA(x, margin = 1, all = FALSE)
# S4 method for matrix
replace_NA(x, value = 0)
# S4 method for data.frame
replace_NA(x, value = 0)
Arguments
- x
An R object (should be a
matrix
or adata.frame
).- ...
Currently not used.
- margin
A length-one
numeric
vector giving the subscripts which the function will be applied over (1
indicates rows,2
indicates columns).- all
A
logical
scalar. IfTRUE
, only the rows/columns whose values all meet the condition defined byf
are considered. IfFALSE
(the default), only rows/columns where at least one value validates the condition defined byf
are considered.- value
A possible replacement value.
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,] NA 7 7 3 1
#> [2,] 7 NA 9 4 3
#> [3,] 9 6 7 3 5
#> [4,] 4 8 3 9 4
#> [5,] 1 NA 10 7 2
## Remove rows with NA
remove_NA(X, margin = 1)
#> [,1] [,2] [,3] [,4] [,5]
#> [1,] 9 6 7 3 5
#> [2,] 4 8 3 9 4
## Replace NA with zeros
replace_NA(X, value = 0)
#> [,1] [,2] [,3] [,4] [,5]
#> [1,] 0 7 7 3 1
#> [2,] 7 0 9 4 3
#> [3,] 9 6 7 3 5
#> [4,] 4 8 3 9 4
#> [5,] 1 0 10 7 2