Replace Missing Values

Replaces missing values values.

Usage

replace_NA(x, ...)

# 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 a data.frame).

...

Currently not used.

value

A possible replacement value.

See also

Other data cleaning tools: clean_whitespace(), remove_Inf(), remove_NA(), remove_constant(), remove_empty(), remove_zero(), replace_Inf(), replace_empty(), replace_zero()

Author

N. Frerebeau

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,]    4   NA    7    2    1
#> [2,]    1    9   NA    2    6
#> [3,]    2   NA    1    9   10
#> [4,]   10    9    1    8    9
#> [5,]    3    9    8   10    5

## Remove rows with NA
remove_NA(X, margin = 1)
#>      [,1] [,2] [,3] [,4] [,5]
#> [1,]   10    9    1    8    9
#> [2,]    3    9    8   10    5

## Replace NA with zeros
replace_NA(X, value = 0)
#>      [,1] [,2] [,3] [,4] [,5]
#> [1,]    4    0    7    2    1
#> [2,]    1    9    0    2    6
#> [3,]    2    0    1    9   10
#> [4,]   10    9    1    8    9
#> [5,]    3    9    8   10    5