I need to apply cut
on a continuous variable to show it with a Brewer color scale in ggplot2, as in Setting breakpoints for data with scale_fill_brewer() function i
The new {santoku} package now offers a way to do this in the development version:
library(santoku)
set.seed(20200607)
x <- runif(20)
chop_evenly(x, 10, labels = lbl_intervals(fmt = percent))
#> [1] [33.13%, 42.11%) [60.08%, 69.06%) [69.06%, 78.04%) [69.06%, 78.04%)
#> [5] [87.02%, 96%] [6.193%, 15.17%) [15.17%, 24.15%) [6.193%, 15.17%)
#> [9] [33.13%, 42.11%) [6.193%, 15.17%) [87.02%, 96%] [51.1%, 60.08%)
#> [13] [42.11%, 51.1%) [6.193%, 15.17%) [42.11%, 51.1%) [6.193%, 15.17%)
#> [17] [6.193%, 15.17%) [69.06%, 78.04%) [78.04%, 87.02%) [87.02%, 96%]
#> 9 Levels: [6.193%, 15.17%) [15.17%, 24.15%) ... [87.02%, 96%]
tab_evenly(x, 10, labels = lbl_intervals(fmt = scales::label_percent(accuracy = 0.1)))
#> x
#> [6.2%, 15.2%) [15.2%, 24.2%) [33.1%, 42.1%) [42.1%, 51.1%) [51.1%, 60.1%)
#> 6 1 2 2 1
#> [60.1%, 69.1%) [69.1%, 78.0%) [78.0%, 87.0%) [87.0%, 96.0%]
#> 1 3 1 3
Created on 2020-06-09 by the reprex package (v0.3.0)
My package cutr
does very similar things to @krlmlr's function (that I didn't know up until now).
cutf
is just cut
with a format_fun
argument, and ...
which is passed to format_fun
, not cut
as incut_format
.
smart_cut
has more features and different defaults :
devtools::install_github("moodymudskipper/cutr")
library(cutr)
x <- seq(0.1, 0.9, by = 0.2)
breaks <- seq(0, 1, by = 0.25)
cutf(x, breaks, format_fun = scales::percent)
# [1] (0%,25%] (25%,50%] (25%,50%] (50%,75%] (75%,100%]
# Levels: (0%,25%] (25%,50%] (50%,75%] (75%,100%]
smart_cut(x, breaks, format_fun = scales::percent,simplify = F, closed = "right")
# [1] [0%,25%] (25%,50%] (25%,50%] (50%,75%] (75%,100%]
# Levels: [0%,25%] < (25%,50%] < (50%,75%] < (75%,100%]
Hmisc::cut2
now also has a formatfun
argument :
library(Hmisc)
Hmisc::cut2(x, breaks, formatfun = scales::percent)
# [1] [0%,25%) [25%,50%) [50%,75%) [50%,75%) [75%,100%]
# Levels: [0%,25%) [25%,50%) [50%,75%) [75%,100%]
Use gsub
with some regex after multiplying your original data by 100:
gsub("([0-9.]+)","\\1%",levels(cut(x*100,breaks=10)))
[1] "(0.449%,10.4%]" "(10.4%,20.3%]" "(20.3%,30.2%]" "(30.2%,40.2%]" "(40.2%,50.1%]" "(50.1%,60%]" "(60%,69.9%]" "(69.9%,79.9%]" "(79.9%,89.8%]" "(89.8%,99.7%]"
Why not copy the code for cut.default
and create your own version with modified levels? See this gist.
Two lines were changed:
Line 22: ch.br <- formatC(breaks, digits = dig, width = 1)
changed to ch.br <- formatC(breaks*100, digits = dig, width = 1)
.
Line 29: else "[", ch.br[-nb], ",", ch.br[-1L], if (right)
changed to else "[", ch.br[-nb], "%, ", ch.br[-1L], "%", if (right)
The rest is the same. And here it is in action:
library(devtools)
source_gist(4593967)
set.seed(1)
x <- runif(100)
levels(cut2(x, breaks=10))
# [1] "(1.24%, 11%]" "(11%, 20.9%]" "(20.9%, 30.7%]" "(30.7%, 40.5%]" "(40.5%, 50.3%]"
# [6] "(50.3%, 60.1%]" "(60.1%, 69.9%]" "(69.9%, 79.7%]" "(79.7%, 89.5%]" "(89.5%, 99.3%]"
A new answer to an oldish question.
You could use the label
argument to pass a function to format the labels. I will use gsubfn
and scales::percent
library(gsubfn)
library(scales)
pcut <- function(x) gsubfn('\\d\\.\\d+', function(x) percent(as.numeric(x)),xx)
d <- data.frame(x=runif(100))
ggplot(d,aes(x=x,y=seq_along(x))) +
geom_point(aes(colour = cut(x, breaks = 10))) +
scale_colour_brewer(name = 'x', palette = 'Spectral', label = pcut)
I have implemented cut_format() in version 0.2-3 of my kimisc
package, version 0.3 is on CRAN now.
# devtools::install_github("krlmlr/kimisc")
x <- seq(0.1, 0.9, by = 0.2)
breaks <- seq(0, 1, by = 0.25)
cut(x, breaks)
## [1] (0,0.25] (0.25,0.5] (0.25,0.5] (0.5,0.75] (0.75,1]
## Levels: (0,0.25] (0.25,0.5] (0.5,0.75] (0.75,1]
cut_format(x, breaks, format_fun = scales::percent)
## [1] (0%, 25%] (25%, 50%] (25%, 50%] (50%, 75%] (75%, 100%]
## Levels: (0%, 25%] (25%, 50%] (50%, 75%] (75%, 100%]
It's still not perfect, passing the number of breaks (as in the original example) doesn't work yet.