Function like cut but left endpoints are inclusive and labels are of
the form [lower, upper), except that last interval is [lower,upper].
If cuts are given, will by default make sure that cuts include entire
range of x.
Also, if cuts are not given, will cut x into quantile groups
(g given) or groups
with a given minimum number of observations (m). Whereas cut creates a
category object, cut2 creates a factor object.
Usage
cut2(x, cuts, m, g, levels.mean, digits, minmax=TRUE, oneval=TRUE)
Arguments
x
numeric vector to classify into intervals
cuts
cut points
m
desired minimum number of observations in a group
g
number of quantile groups
levels.mean
set to TRUE to make the new categorical vector have levels attribute that is
the group means of x instead of interval endpoint labels
digits
number of significant digits to use in constructing levels. Default is 3
(5 if levels.mean=TRUE)
minmax
if cuts is specified but min(x) or max(x)>max(cuts), augments
cuts to include min and max x
oneval
if an interval contains only one unique value, the interval will be
labeled with the formatted version of that value instead of the
interval endpoints, unless oneval=FALSE
Value
a factor variable with levels of the form [a,b) or formatted means
(character strings)
set.seed(1)
x <- runif(1000, 0, 100)
z <- cut2(x, c(10,20,30))
table(z)
table(cut2(x, g=10)) # quantile groupstable(cut2(x, m=50)) # group x into intevals with at least 50 obs.