chop_equally() chops x into groups with an equal number of elements.
Usage
chop_equally(
x,
groups,
...,
labels = lbl_intervals(),
left = is.numeric(x),
close_end = TRUE,
raw = TRUE
)
brk_equally(groups)
tab_equally(x, groups, ..., left = is.numeric(x), raw = TRUE)Arguments
- x
A vector.
- groups
Number of groups.
- ...
Passed to
chop().- labels
A character vector of labels or a function to create labels.
- left
Logical. Left-closed or right-closed breaks?
- close_end
Logical. Close last break at right? (If
leftisFALSE, close first break at left?)- raw
Logical. Use raw values in labels?
Value
chop_* functions return a factor of the same length as x.
brk_* functions return a function to create breaks.
tab_* functions return a contingency table().
Details
chop_equally() uses brk_quantiles() under the hood. If x has duplicate
elements, you may get fewer groups than requested. If so, a warning will
be emitted. See the examples.
See also
Other chopping functions:
chop(),
chop_evenly(),
chop_fn(),
chop_mean_sd(),
chop_n(),
chop_proportions(),
chop_quantiles(),
chop_width(),
fillet()
Examples
chop_equally(1:10, 5)
#> [1] [1, 2.8) [1, 2.8) [2.8, 4.6) [2.8, 4.6) [4.6, 6.4) [4.6, 6.4)
#> [7] [6.4, 8.2) [6.4, 8.2) [8.2, 10] [8.2, 10]
#> Levels: [1, 2.8) [2.8, 4.6) [4.6, 6.4) [6.4, 8.2) [8.2, 10]
# You can't always guarantee `groups` groups:
dupes <- c(1, 1, 1, 2, 3, 4, 4, 4)
quantile(dupes, 0:4/4)
#> 0% 25% 50% 75% 100%
#> 1.0 1.0 2.5 4.0 4.0
chop_equally(dupes, 4)
#> [1] {1} {1} {1} (1, 2.5) [2.5, 4) {4} {4} {4}
#> Levels: {1} (1, 2.5) [2.5, 4) {4}