ggnewscale
tries to make it painless to use multiple scales in
ggplot2
. Although originally intended to use with colour and fill, it
should work with any aes
, such as shape
, linetype
and the rest.
ggnewscale: spend 400% more time tweaking your ggplot!
For another way of defining multiple scales, you can also try relayer.
You can install ggnewscale from CRAN with:
install.packages("ggnewscale")
Or the development version with:
# install.packages("devtools")
devtools::install_github("eliocamp/ggnewscale")
If you use ggnewscale in a publication, I’ll be grateful if you cited it. To get the suggested citation for this (and any other R package) you can use:
citation("ggnewscale")
#> To cite ggnewscale in publications use:
#>
#> Campitelli E (????). _ggnewscale: Multiple Fill and Colour Scales in
#> 'ggplot2'_. doi:10.5281/zenodo.2543762
#> <https://doi.org/10.5281/zenodo.2543762>, R package version 0.5.0.
#>
#> A BibTeX entry for LaTeX users is
#>
#> @Manual{R-ggnewscale,
#> title = {ggnewscale: Multiple Fill and Colour Scales in 'ggplot2'},
#> author = {Elio Campitelli},
#> note = {R package version 0.5.0},
#> doi = {10.5281/zenodo.2543762},
#> }
If you use knitr, you can automate this with
knitr::write_bib(c("ggnewscale"), "packages.bib")
And then add citations with @R-ggnewscale
.
Click to see a list of some publications that have cited ggnewscale. Thanks!
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[6] Using Stochastic Point Pattern Analysis to Track Regional Orientations of Magmatism During the Transition to Cenozoic Extension and Rio Grande Rifting, Southern Rocky Mountains - Rosera - 2024 - Tectonics - Wiley Online Library. https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2023TC007902. Feb. 12, 2024. (Visited on 02/12/2024).
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The main function is new_scale()
and its aliases new_scale_color()
and new_scale_fill()
. When added to a plot, every geom added after
them will use a different scale.
As an example, let’s overlay some measurements over a contour map of
topography using the beloved volcano
.
library(ggplot2)
library(ggnewscale)
# Equivalent to melt(volcano)
topography <- expand.grid(x = 1:nrow(volcano),
y = 1:ncol(volcano))
topography$z <- c(volcano)
# point measurements of something at a few locations
set.seed(42)
measurements <- data.frame(x = runif(30, 1, 80),
y = runif(30, 1, 60),
thing = rnorm(30))
ggplot(mapping = aes(x, y)) +
geom_contour(data = topography, aes(z = z, color = stat(level))) +
# Color scale for topography
scale_color_viridis_c(option = "D") +
# geoms below will use another color scale
new_scale_color() +
geom_point(data = measurements, size = 3, aes(color = thing)) +
# Color scale applied to geoms added after new_scale_color()
scale_color_viridis_c(option = "A")
#> Warning: `stat(level)` was deprecated in ggplot2 3.4.0.
#> ℹ Please use `after_stat(level)` instead.
#> This warning is displayed once every 8 hours.
#> Call `lifecycle::last_lifecycle_warnings()` to see where this warning was
#> generated.
If you want to create new scales for other aes
, you can call
new_scale
with the name of the aes
. For example, use
new_scale("linetype")
to add multiple linetype scales.