arkhe (version 1.2.0)

zero: Tools for working with zeros

Description

• 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)

Arguments

x

An object (should be a matrix or a data.frame).

...

Currently not used.

margin

A 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.

Author

N. Frerebeau

See Also

Other data cleaning tools: compact(), count(), detect(), discard(), infinite, keep(), missing

Examples

## Create a count 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

## Count missing values in rows
count(X, f = is.na, margin = 1)
## Count non-missing values in columns
count(X, f = is.na, margin = 2, negate = TRUE)

## Find row with NA
detect(X, f = is.na, margin = 1)
## Find column without any NA
detect(X, f = is.na, margin = 2, negate = TRUE, all = TRUE)

## Keep row without any NA
keep(X, f = is.na, margin = 1, negate = TRUE, all = TRUE)
## Keep row without any NA
keep(X, f = is.na, margin = 2, negate = TRUE, all = TRUE)

## Remove row with any NA
discard(X, f = is.na, margin = 1, all = FALSE)
## Remove column with any NA
discard(X, f = is.na, margin = 2, all = FALSE)

## Replace NA with zeros
replace_NA(X, value = 0)