fdroplevels: Fast Removal of Unused Factor Levels

In collapse: Advanced and Fast Data Transformation

Fast Removal of Unused Factor Levels

Description

A substantially faster replacement for droplevels.

Usage

fdroplevels(x, ...)

## S3 method for class 'factor'
fdroplevels(x, ...)

## S3 method for class 'data.frame'
fdroplevels(x, ...)

Arguments

x	a factor, or data frame / list containing one or more factors.
...	not used.

Details

droplevels passes a factor from which levels are to be dropped to factor, which first calls unique and then match to drop unused levels. Both functions internally use a hash table, which is highly inefficient. fdroplevels does not require mapping values at all, but uses a super fast boolean vector method to determine which levels are unused and remove those levels. In addition, if no unused levels are found, x is simply returned. Any missing values found in x are efficiently skipped in the process of checking and replacing levels. All other attributes of x are preserved.

Value

x with unused factor levels removed.

Note

If x is malformed e.g. has too few levels, this function can cause a segmentation fault terminating the R session, thus only use with ordinary / proper factors.

See Also

qF, funique, Fast Grouping and Ordering, Collapse Overview

Examples

f <- iris$Species[1:100]
fdroplevels(f)
identical(fdroplevels(f), droplevels(f))

fNA <- na_insert(f)
fdroplevels(fNA)
identical(fdroplevels(fNA), droplevels(fNA))

identical(fdroplevels(ss(iris, 1:100)), droplevels(ss(iris, 1:100)))

collapse documentation built on Nov. 13, 2023, 1:08 a.m.