arkhe (version 1.2.0)

compact: Remove empty rows/columns

Description

Removes empty rows/columns in an array-like object using a predicate function.

Usage

compact(x, ...)
compact_cols(x, ...)
compact_rows(x, ...)
# S4 method for ANY
compact(x, margin = 1)
# S4 method for ANY
compact_cols(x)
# S4 method for ANY
compact_rows(x)

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).

Author

N. Frerebeau

Details

A row/column is empty if it contains only NA, zeros (if of type numeric) or zero length character strings (if of type character).

See Also

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

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)