Learn R Programming

arkhe (version 1.4.0)

discard: Remove Rows/Columns Using a Predicate

Description

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

Usage

discard(x, ...)

discard_cols(x, ...)

discard_rows(x, ...)

# S4 method for ANY discard( x, f, margin = 1, negate = FALSE, all = FALSE, na.rm = FALSE, verbose = getOption("arkhe.verbose"), ... )

# S4 method for ANY discard_rows( x, f, negate = FALSE, all = FALSE, na.rm = FALSE, verbose = getOption("arkhe.verbose"), ... )

# S4 method for ANY discard_cols( x, f, negate = FALSE, all = FALSE, na.rm = FALSE, verbose = getOption("arkhe.verbose"), ... )

Arguments

x

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

...

Further arguments to be passed to f.

f

A predicate function.

margin

A length-one numeric vector giving the subscripts which the function will be applied over (1 indicates rows, 2 indicates columns).

negate

A logical scalar: should the negation of f be used instead of f?

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.

na.rm

A logical scalar: should NA values be stripped before the computation proceeds?

verbose

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

Author

N. Frerebeau

See Also

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

Examples

Run this code
## Create a 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

## 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)

Run the code above in your browser using DataLab