Tools for Working With Infinite Values

• remove_Inf() remove rows/columns that contain infinite values.

• replace_Inf replaces infinite values values.

Usage

remove_Inf(x, ...)

replace_Inf(x, ...)

# S4 method for ANY
remove_Inf(x, margin = 1, all = FALSE)

# S4 method for matrix
replace_Inf(x, value = 0)

# S4 method for data.frame
replace_Inf(x, value = 0)

Arguments

x

An R object (should be a matrix or a data.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. If TRUE, only the rows/columns whose values all meet the condition defined by f are considered. If FALSE (the default), only rows/columns where at least one value validates the condition defined by f are considered.

value

A possible replacement value.

See also

Other data cleaning tools: compact(), count(), detect(), discard(), empty, keep(), missing, remove_constant(), zero

Author

N. Frerebeau

Examples

## Create a data matrix
X <- matrix(sample(1:10, 25, TRUE), nrow = 5, ncol = 5)

## Add Inf
k <- sample(1:25, 3, FALSE)
X[k] <- Inf
X
#>      [,1] [,2] [,3] [,4] [,5]
#> [1,]    1    3  Inf    4  Inf
#> [2,]    8    5    7    9    1
#> [3,]    6    2    5    6    8
#> [4,]    7    7    5  Inf    5
#> [5,]    7    8    4    1    3

## Remove rows with Inf
remove_Inf(X, margin = 1)
#>      [,1] [,2] [,3] [,4] [,5]
#> [1,]    8    5    7    9    1
#> [2,]    6    2    5    6    8
#> [3,]    7    8    4    1    3

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