Tools for Working With Zeros

• remove_zero() remove rows/columns that contain zeros.

• replace_zero() replaces zeros.

Usage

remove_zero(x, ...)

replace_zero(x, ...)

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

# S4 method for matrix
replace_zero(x, value)

# S4 method for data.frame
replace_zero(x, value)

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, infinite, keep(), missing, remove_constant()

Author

N. Frerebeau

Examples

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

## Add zero
k <- sample(1:25, 3, FALSE)
X[k] <- 0
X
#>      [,1] [,2] [,3] [,4] [,5]
#> [1,]    2    0   10    9    9
#> [2,]    0    2    9    0   10
#> [3,]   10    7    5   10    9
#> [4,]    1    7    3    7   10
#> [5,]    2    9    9    5   10

## Remove rows with zero
remove_zero(X, margin = 1)
#>      [,1] [,2] [,3] [,4] [,5]
#> [1,]   10    7    5   10    9
#> [2,]    1    7    3    7   10
#> [3,]    2    9    9    5   10

## Replace zero
replace_zero(X, value = 1)
#>      [,1] [,2] [,3] [,4] [,5]
#> [1,]    2    1   10    9    9
#> [2,]    1    2    9    1   10
#> [3,]   10    7    5   10    9
#> [4,]    1    7    3    7   10
#> [5,]    2    9    9    5   10