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https://github.com/jaredhuling/jcolors
A set of color palettes I like (or can at least tolerate)
https://github.com/jaredhuling/jcolors
color-palettes data-visualization ggplot2 r-package visualization
Last synced: 2 months ago
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A set of color palettes I like (or can at least tolerate)
- Host: GitHub
- URL: https://github.com/jaredhuling/jcolors
- Owner: jaredhuling
- Created: 2017-04-05T14:53:14.000Z (almost 8 years ago)
- Default Branch: master
- Last Pushed: 2024-03-28T16:53:25.000Z (10 months ago)
- Last Synced: 2024-08-03T21:02:56.769Z (6 months ago)
- Topics: color-palettes, data-visualization, ggplot2, r-package, visualization
- Language: HTML
- Homepage: https://jaredhuling.github.io/jcolors
- Size: 43.1 MB
- Stars: 25
- Watchers: 2
- Forks: 5
- Open Issues: 0
-
Metadata Files:
- Readme: README.Rmd
Awesome Lists containing this project
- awesome-r-dataviz - jcolors - A set of color palettes I like (or can at least tolerate). (ggplot / Palettes 🎨)
README
---
output: github_document
---
```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE, fig.path = "vignettes/readme_figs/")
```
# `jcolors` intro
[](https://cran.r-project.org/package=jcolors)
`jcolors` contains a selection of `ggplot2` color palettes that I like (or can at least tolerate to some degree)
## Installation
Install `jcolors` from GitHub:
```{r, eval = FALSE}
install.packages("devtools")
devtools::install_github("jaredhuling/jcolors")
```
Access the `jcolors` color palettes with `jcolors()`:
```{r eval = TRUE, message = FALSE, warning = FALSE}
library(jcolors)
jcolors('default')
```
## Display all available palettes
### Discrete palettes
```{r displayall, fig.height = 8}
display_all_jcolors()
```
### Continuous palettes
```{r contin_example_display, fig.height = 8}
display_all_jcolors_contin()
```
# Discrete Color Palettes
## Use with `ggplot2`
Now use `scale_color_jcolors()` with `ggplot2`:
```{r eval = TRUE, message = FALSE, warning = FALSE}
library(ggplot2)
library(gridExtra)
data(morley)
pltl <- ggplot(data = morley, aes(x = Run, y = Speed,
group = factor(Expt),
colour = factor(Expt))) +
geom_line(size = 2) +
theme_bw() +
theme(panel.background = element_rect(fill = "grey97"),
panel.border = element_blank(),
legend.position = "bottom")
pltd <- ggplot(data = morley, aes(x = Run, y = Speed,
group = factor(Expt),
colour = factor(Expt))) +
geom_line(size = 2) +
theme_bw() +
theme(panel.background = element_rect(fill = "grey15"),
legend.key = element_rect(fill = "grey15"),
panel.border = element_blank(),
panel.grid.major = element_line(color = "grey45"),
panel.grid.minor = element_line(color = "grey25"),
legend.position = "bottom")
grid.arrange(pltl + scale_color_jcolors(palette = "default"),
pltd + scale_color_jcolors(palette = "default"), ncol = 2)
grid.arrange(pltl + scale_color_jcolors(palette = "pal2"),
pltd + scale_color_jcolors(palette = "pal2"), ncol = 2)
```
Color palettes can be displayed using `display_jcolors()`
## default
```{r}
display_jcolors("default")
```
## pal2
```{r}
display_jcolors("pal2")
```
## pal3
```{r}
display_jcolors("pal3")
```
## pal4
```{r}
display_jcolors("pal4")
```
## pal5
```{r}
display_jcolors("pal5")
```
## pal6
```{r}
display_jcolors("pal6")
```
## pal7
```{r}
display_jcolors("pal7")
```
## pal8
```{r}
display_jcolors("pal8")
```
## pal9
```{r}
display_jcolors("pal9")
```
## pal10
```{r}
display_jcolors("pal10")
```
## pal11
```{r}
display_jcolors("pal11")
```
## pal12
```{r}
display_jcolors("pal12")
```
## rainbow
```{r}
display_jcolors("rainbow")
```
## More example plots
```{r moreplots}
grid.arrange(pltl + scale_color_jcolors(palette = "pal3"),
pltd + scale_color_jcolors(palette = "pal3"), ncol = 2)
grid.arrange(pltl + scale_color_jcolors(palette = "pal4"),
pltd + scale_color_jcolors(palette = "pal4") +
theme(panel.background = element_rect(fill = "grey5")), ncol = 2)
grid.arrange(pltl + scale_color_jcolors(palette = "pal5"),
pltd + scale_color_jcolors(palette = "pal5"), ncol = 2)
pltd <- ggplot(data = OrchardSprays, aes(x = rowpos, y = decrease,
group = factor(treatment),
colour = factor(treatment))) +
geom_line(size = 2) +
geom_point(size = 4) +
theme_bw() +
theme(panel.background = element_rect(fill = "grey15"),
legend.key = element_rect(fill = "grey15"),
panel.border = element_blank(),
panel.grid.major = element_line(color = "grey45"),
panel.grid.minor = element_line(color = "grey25"),
legend.position = "bottom")
pltd + scale_color_jcolors(palette = "pal6")
```
# Continuous Color Palettes
## Display all continuous palettes
```{r contin_example, fig.height = 8}
display_all_jcolors_contin()
```
## Use with `ggplot2`
```{r mountain_ex, fig.height=6}
set.seed(42)
plt <- ggplot(data.frame(x = rnorm(10000), y = rexp(10000, 1.5)), aes(x = x, y = y)) +
geom_hex() + coord_fixed() + theme(legend.position = "bottom")
plt2 <- plt + scale_fill_jcolors_contin("pal2", bias = 1.75) + theme_bw()
plt3 <- plt + scale_fill_jcolors_contin("pal3", reverse = TRUE, bias = 2.25) + theme_bw()
plt4 <- plt + scale_fill_jcolors_contin("pal12", reverse = TRUE, bias = 2) + theme_bw()
grid.arrange(plt2, plt3, plt4, ncol = 2)
```
# `ggplot2` themes
```{r diamonds_light_theme, fig.height = 6, message = FALSE, warning = FALSE}
library(scales)
p1 <- ggplot(aes(x = carat, y = price), data = diamonds) +
geom_point(alpha = 0.5, size = 1, aes(color = clarity)) +
scale_x_continuous(trans = log10_trans(), limits = c(0.2, 3),
breaks = c(0.2, 0.5, 1, 2, 3)) +
scale_y_continuous(trans = log10_trans(), limits = c(350, 15000),
breaks = c(350, 1000, 5000, 10000, 15000)) +
ggtitle('Price (log10) by Carat (log10) and Clarity') +
scale_color_jcolors("rainbow") +
theme_light_bg()
p2 <- ggplot(aes(x = carat, y = price), data = diamonds) +
geom_point(alpha = 0.5, size = 1, aes(color = cut)) +
scale_x_continuous(trans = log10_trans(), limits = c(0.2, 3),
breaks = c(0.2, 0.5, 1, 2, 3)) +
scale_y_continuous(trans = log10_trans(), limits = c(350, 15000),
breaks = c(350, 1000, 5000, 10000, 15000)) +
ggtitle('Price (log10) by Carat (log10) and Cut') +
scale_color_jcolors("pal4") +
theme_light_bg()
grid.arrange(p1, p2, ncol = 2)
```
```{r jitterplot, fig.height = 6, message = FALSE, warning = FALSE}
p1 <- ggplot(aes(x = clarity, y = price), data = diamonds) +
geom_point(alpha = 0.25, size = 1, position = "jitter", aes(color = log(carat + 1))) +
scale_y_continuous(trans = log10_trans(), limits = c(350, 15000),
breaks = c(350, 1000, 5000, 10000, 15000)) +
ggtitle('Price (log10) by Carat (log10) and Clarity')
p2 <- ggplot(aes(x = clarity, y = price), data = diamonds) +
geom_point(alpha = 0.25, size = 1, position = "jitter", aes(color = log(carat + 1))) +
scale_y_continuous(trans = log10_trans(), limits = c(350, 15000),
breaks = c(350, 1000, 5000, 10000, 15000)) +
ggtitle('Price (log10) by Carat (log10) and Clarity')
grid.arrange(p1 + scale_color_jcolors_contin("pal3", bias = 1.75) + theme_light_bg(),
p2 + scale_color_jcolors_contin("rainbow") + theme_light_bg(), ncol = 2)
```
If the background here were dark, then this would look nice:
```{r darkbg, warning = FALSE}
grid.arrange(p1 + scale_color_jcolors_contin("pal3", bias = 1.75) + theme_dark_bg(),
p2 + scale_color_jcolors_contin("rainbow") + theme_dark_bg(), ncol = 2)
```