,
Richie Cotton [ctb]| Title: | A Fancy Version of 'base::cut' |
|---|---|
| Description: | Provides the function fancycut() which is like cut() except you can mix left open and right open intervals with point values, intervals that are closed on both ends and intervals that are open on both ends. |
| Authors: | Adam Rich [aut, cre, cph] ,
Richie Cotton [ctb] |
| Maintainer: | Adam Rich <[email protected]> |
| License: | CC0 |
| Version: | 0.1.3 |
| Built: | 2025-01-27 05:10:33 UTC |
| Source: | https://github.com/adamleerich/fancycut |
cut, turn a vector of numbers into a factorLike cut, turn a vector of numbers into a factor
fancycut(x, na.bucket = NA, unmatched.bucket = NA, out.as.factor = TRUE, ...)fancycut(x, na.bucket = NA, unmatched.bucket = NA, out.as.factor = TRUE, ...)
x |
a numeric vector |
na.bucket |
what level should NA values be given? |
unmatched.bucket |
what level should numbers not covered by an interval be given? |
out.as.factor |
default is TRUE Should the resulting vector be a factor? If FALSE will return a character vector. |
... |
These take the form |
fancycut( x = -10:10, Zero = 0, Small = '[0,2)', Medium = '[2,5]', Large = '(5,10]' ) # The following examples are from Richie Cotton via # https://www.rdocumentation.org/packages/fancycut/versions/0.1.1/topics/fancycut # The tag = value syntax is useful. x <- seq.int(0, 1, 0.25) fancycut(x, low = '[0, 0.5]', high = '(0.5, 1]') # Not all the values have to live in a bucket. x <- seq.int(0, 1, 0.25) fancycut(x, low = '(0.2, 0.3]', high = '(0.7, 0.8)') # You can use unmatched.bucket to deal with these other intervals. x <- seq.int(0, 1, 0.25) fancycut(x, low = '(0.2, 0.3]', high = '(0.7, 0.8)', unmatched.bucket = 'other') # To match a specific value, make the lower and upper bound the same number. x <- seq.int(0, 1, 0.25) fancycut(x, low = '[0, 0.5)', half = '[0.5,0.5]', high = '(0.5, 1]') # To match NA values, use na.bucket. x2 <- c(seq.int(0, 1, 0.25), NA) fancycut(x2, low = '[0, 0.5)', high = '[0.5, 1]', na.bucket = 'missing')fancycut( x = -10:10, Zero = 0, Small = '[0,2)', Medium = '[2,5]', Large = '(5,10]' ) # The following examples are from Richie Cotton via # https://www.rdocumentation.org/packages/fancycut/versions/0.1.1/topics/fancycut # The tag = value syntax is useful. x <- seq.int(0, 1, 0.25) fancycut(x, low = '[0, 0.5]', high = '(0.5, 1]') # Not all the values have to live in a bucket. x <- seq.int(0, 1, 0.25) fancycut(x, low = '(0.2, 0.3]', high = '(0.7, 0.8)') # You can use unmatched.bucket to deal with these other intervals. x <- seq.int(0, 1, 0.25) fancycut(x, low = '(0.2, 0.3]', high = '(0.7, 0.8)', unmatched.bucket = 'other') # To match a specific value, make the lower and upper bound the same number. x <- seq.int(0, 1, 0.25) fancycut(x, low = '[0, 0.5)', half = '[0.5,0.5]', high = '(0.5, 1]') # To match NA values, use na.bucket. x2 <- c(seq.int(0, 1, 0.25), NA) fancycut(x2, low = '[0, 0.5)', high = '[0.5, 1]', na.bucket = 'missing')
cut, turn a vector of numbers into a factorLike cut, turn a vector of numbers into a factor
wafflecut( x, intervals, buckets = intervals, na.bucket = NA, unmatched.bucket = NA, out.as.factor = TRUE )wafflecut( x, intervals, buckets = intervals, na.bucket = NA, unmatched.bucket = NA, out.as.factor = TRUE )
x |
a numeric vector |
intervals |
a character vector of intervals |
buckets |
a character vector of levels for the new factor
these have a 1-1 correspondence with |
na.bucket |
what level should NA values be given? |
unmatched.bucket |
what level should numbers not covered by an interval be given? |
out.as.factor |
default is TRUE Should the resulting vector be a factor? If FALSE will return a character vector. |
wafflecut(-10:10, c('[0,2)','[2,5)','[5,10]'), c('Small','Medium','Large')) wafflecut(-10:10, c('[0,0]','(0,2]','(2,5)','[5,10]'), c('Zero','Small','Medium','Large')) wafflecut(-10:10, c('[0,2)','[2,5)','[5,10]'), c('Small','Medium','Large')) wafflecut(-10:10, c('[0,0]','[0,2]','(2,5)','[5,10]'), c('Zero','Small','Medium','Large')) # The following examples are from Richie Cotton via # https://www.rdocumentation.org/packages/fancycut/versions/0.1.1/topics/fancycut # Not all the values have to live in a bucket. x <- seq.int(0, 1, 0.25) wafflecut(x, c('(0.2, 0.3)', '(0.7, 0.8)'), c('low', 'high')) # You can use unmatched.bucket to deal with these other intervals. x <- seq.int(0, 1, 0.25) wafflecut(x, c('(0.2, 0.3)', '(0.7, 0.8)'), c('low', 'high'), unmatched.bucket = 'other') # To match NA values, use na.bucket. x2 <- c(seq.int(0, 1, 0.25), NA) wafflecut(x2, c('[0, 0.5)', '[0.5, 1]'), c('low', 'high'), na.bucket = 'missing')wafflecut(-10:10, c('[0,2)','[2,5)','[5,10]'), c('Small','Medium','Large')) wafflecut(-10:10, c('[0,0]','(0,2]','(2,5)','[5,10]'), c('Zero','Small','Medium','Large')) wafflecut(-10:10, c('[0,2)','[2,5)','[5,10]'), c('Small','Medium','Large')) wafflecut(-10:10, c('[0,0]','[0,2]','(2,5)','[5,10]'), c('Zero','Small','Medium','Large')) # The following examples are from Richie Cotton via # https://www.rdocumentation.org/packages/fancycut/versions/0.1.1/topics/fancycut # Not all the values have to live in a bucket. x <- seq.int(0, 1, 0.25) wafflecut(x, c('(0.2, 0.3)', '(0.7, 0.8)'), c('low', 'high')) # You can use unmatched.bucket to deal with these other intervals. x <- seq.int(0, 1, 0.25) wafflecut(x, c('(0.2, 0.3)', '(0.7, 0.8)'), c('low', 'high'), unmatched.bucket = 'other') # To match NA values, use na.bucket. x2 <- c(seq.int(0, 1, 0.25), NA) wafflecut(x2, c('[0, 0.5)', '[0.5, 1]'), c('low', 'high'), na.bucket = 'missing')