```{R, include = FALSE} knitr::opts_chunk$set( collapse = TRUE, comment = "#>", fig.width = 6, fig.height = 6 )
```{R setup, message = FALSE} library(gameR) library(ggplot2) library(magrittr) library(palmerpenguins) data("penguins")
Here, we use the penguins
dataset from the {palmerpenguins}
package to
provide simple examples of how gameR can be used to customize a plot using
either {ggplot2}
or base R. We will plot a scatter plot of flipper length (in
mm) against body mass (in g) with the points colored by species.
{ggplot2}
To use palettes from gameR in ggplot, a palette can be specified via either
scale_color_manual()
or scale_fill_manual()
to adjust the color or fill
respectively. When specifying a palette, the values =
argument must be used.
Calling the scale_*
function will not allow a palette to be specified if
no named argument is used.
```{R, warning = FALSE} penguins %>% ggplot(aes(x = body_mass_g, y = flipper_length_mm, color = species)) + geom_point() + theme_bw() + ggtitle("ggplot example using the 'rayman' palette") + scale_color_manual(values = gameR_cols("rayman"))
## Using base R If base R plotting is being used, the `bg` argument can be used to specify the color of the points. Here we use `gameR_cols()` in combination with `unclasss()` to color by species. ```{R} par(bg = "white") attach(penguins) plot( x = body_mass_g, y = flipper_length_mm, main = "Base R example using the 'cyberpunk' palette", cex = 1, pch = 21, bg = gameR_cols("cyberpunk")[unclass(species)] ) legend(5500, 200, legend = attr(unclass(species), "levels"), fill = gameR_cols("cyberpunk"), cex = 0.8 )
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