wafflecut | R Documentation |
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
)
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')
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