Remove Rows/Columns with Infinite Values

Removes rows/columns that contain infinite values.

Usage

remove_Inf(x, ...)

# S4 method for ANY
remove_Inf(x, margin = 1, all = FALSE, verbose = getOption("arkhe.verbose"))

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.

verbose

A logical scalar: should R report extra information on progress?

See also

Other data cleaning tools: clean_whitespace(), remove_NA(), remove_constant(), remove_empty(), remove_zero(), replace_Inf(), replace_NA(), replace_empty(), replace_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,]    7    1    7    4    8
#> [2,]    7    7   10    7    2
#> [3,]  Inf    9    9    1    9
#> [4,]    4    1    8  Inf    4
#> [5,]    8    1  Inf    9    5

## Remove rows with Inf
remove_Inf(X, margin = 1)
#>      [,1] [,2] [,3] [,4] [,5]
#> [1,]    7    1    7    4    8
#> [2,]    7    7   10    7    2

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