These labels are the most exact, since they show you whether intervals are "closed" or "open", i.e. whether they include their endpoints.
Arguments
- fmt
String, list or function. A format for break endpoints.
- single
Glue string: label for singleton intervals. See
lbl_glue()for details. IfNULL, singleton intervals will be labelled the same way as other intervals.- first
Glue string: override label for the first category. Write e.g.
first = "<{r}"to create a label like"<18". Seelbl_glue()for details.- last
String: override label for the last category. Write e.g.
last = ">{l}"to create a label like">65". Seelbl_glue()for details.- raw
. Use the
rawargument tochop()instead.
Details
Mathematical set notation looks like this:
[a, b]: all numbersxwherea <= x <= b;(a, b): all numbers wherea < x < b;[a, b): all numbers wherea <= x < b;(a, b]: all numbers wherea < x <= b;{a}: just the numberaexactly.
Formatting endpoints
If fmt is not NULL then it is used to format the endpoints.
If
fmtis a string, then numeric endpoints will be formatted bysprintf(fmt, breaks); other endpoints, e.g. Date objects, will be formatted byformat(breaks, fmt).If
fmtis a list, then it will be used as arguments to format.If
fmtis a function, it should take a vector of numbers (or other objects that can be used as breaks) and return a character vector. It may be helpful to use functions from the{scales}package, e.g.scales::label_comma().
See also
Other labelling functions:
lbl_dash(),
lbl_discrete(),
lbl_endpoints(),
lbl_glue(),
lbl_manual(),
lbl_midpoints(),
lbl_seq()
Examples
tab(-10:10, c(-3, 0, 0, 3),
labels = lbl_intervals())
#> [-10, -3) [-3, 0) {0} (0, 3) [3, 10]
#> 7 3 1 2 8
tab(-10:10, c(-3, 0, 0, 3),
labels = lbl_intervals(fmt = list(nsmall = 1)))
#> [-10.0, -3.0) [ -3.0, 0.0) { 0.0} ( 0.0, 3.0) [ 3.0, 10.0]
#> 7 3 1 2 8
tab_evenly(runif(20), 10,
labels = lbl_intervals(fmt = percent))
#> [6.095%, 15.1%) [15.1%, 24.11%) [24.11%, 33.11%) [33.11%, 42.12%)
#> 1 2 4 2
#> [42.12%, 51.12%) [51.12%, 60.13%) [60.13%, 69.13%) [78.14%, 87.14%)
#> 2 4 1 2
#> [87.14%, 96.15%]
#> 2
