chop_quantiles {santoku} | R Documentation |
Chop by quantiles
Description
chop_quantiles()
chops data by quantiles.
chop_deciles()
is a convenience function which chops into deciles.
Usage
chop_quantiles(
x,
probs,
...,
left = is.numeric(x),
raw = FALSE,
weights = NULL
)
chop_deciles(x, ...)
brk_quantiles(probs, ..., weights = NULL)
tab_quantiles(x, probs, ..., left = is.numeric(x), raw = FALSE)
tab_deciles(x, ...)
Arguments
x |
A vector. |
probs |
A vector of probabilities for the quantiles. If |
... |
For |
left |
Logical. Left-closed or right-closed breaks? |
raw |
Logical. Use raw values in labels? |
weights |
|
Details
For non-numeric x
, left
is set to FALSE
by default. This works better
for calculating "type 1" quantiles, since they round down. See
stats::quantile()
.
If x
contains duplicates, consecutive quantiles may be the same number
so that some intervals get merged.
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()
.
See Also
Other chopping functions:
chop()
,
chop_equally()
,
chop_evenly()
,
chop_fn()
,
chop_mean_sd()
,
chop_n()
,
chop_proportions()
,
chop_width()
,
fillet()
Examples
chop_quantiles(1:10, 1:3/4)
chop_quantiles(1:10, c(Q1 = 0, Q2 = 0.25, Q3 = 0.5, Q4 = 0.75))
chop(1:10, brk_quantiles(1:3/4))
chop_deciles(1:10)
# to label by the quantiles themselves:
chop_quantiles(1:10, 1:3/4, raw = TRUE)
# duplicates:
tab_quantiles(c(1, 1, 1, 2, 3), 1:5/5)
set.seed(42)
tab_quantiles(rnorm(100), probs = 1:3/4, raw = TRUE)