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https://github.com/ropensci-archive/styles
:no_entry: ARCHIVED :no_entry: Styles For Base Plots
https://github.com/ropensci-archive/styles
ozunconf17 r r-package rstats unconf
Last synced: 3 months ago
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:no_entry: ARCHIVED :no_entry: Styles For Base Plots
- Host: GitHub
- URL: https://github.com/ropensci-archive/styles
- Owner: ropensci-archive
- License: other
- Archived: true
- Created: 2017-10-27T03:29:58.000Z (about 7 years ago)
- Default Branch: master
- Last Pushed: 2022-05-10T14:06:39.000Z (over 2 years ago)
- Last Synced: 2024-06-11T18:32:15.970Z (5 months ago)
- Topics: ozunconf17, r, r-package, rstats, unconf
- Language: R
- Homepage:
- Size: 455 KB
- Stars: 31
- Watchers: 6
- Forks: 2
- Open Issues: 12
-
Metadata Files:
- Readme: README-NOT.md
- License: LICENSE
Awesome Lists containing this project
README
styles
======
The goal of styles is to create and apply themes to base plots.
Installation
------------
You can install styles from github with:
``` r
# install.packages("devtools")
devtools::install_github("ropenscilabs/styles")
```
Examples
--------
Let's compare default plot arguments to a styles:
``` r
library(styles)
library(default)
plot_mat <- matrix(1:8, nrow = 2, byrow = FALSE)
layout(plot_mat)
# plot with plot defaults; without setting a style
example_plots()
# plot with a style
style(better)
example_plots()
```
You can preview internal styles:
``` r
plot_style(better)
```
You can create your own styles:
``` r
blue_stars <- new_style(par = list(pch = 8),
graphics = list(plot.xy = list(col = "navyblue")))
style(blue_stars)
plot(mpg ~ wt, data = mtcars)
```
Once we have a style we like, we can apply it to all of our plots:
``` r
blue_dot_grey <- new_style(par = list(pch = 20,
cex=1.2,
bty="l",
col.axis = grey(0.4),
col.lab = grey(0.4),
fg = grey(0.4),
mar=c(4,4,1,1)),
graphics = list(plot.xy = list(col = "navyblue")))
style(blue_dot_grey)
plot_mat <- matrix(1:4, nrow = 2, byrow = FALSE)
layout(plot_mat)
plot(mpg ~ wt, data = mtcars)
plot(mpg ~ disp, data = mtcars)
plot(mpg ~ hp, data = mtcars)
plot(mpg ~ drat, data = mtcars)
```
