Mikata Project took over ggthemr and will be the primary maintainer of this wonderful package. We would like to thank @cttobin for creating this package. We also appreciate that he agreed to pass the repo ownership to Mikata Project. The Mikata Team plans to resolve backlog issues and make ggthemr available on CRAN as the first step.

• ggthemr
  • Installation
  • Usage
  • Palettes
  • Custom Palettes
  • Layouts
  • Spacing
  • Type
  • Tweaking Themes
  • Plot Adjustments
  • A note about theme setting
  • License

ggthemr

Themes for ggplot2. The idea of this package is that you can just set the theme and then forget about it. You shouldn't have to change any of your existing code. There are several parts to a theme:

• Colour palette for the background, axes, gridlines, text etc.
• Layout of axes lines and gridlines.
• Spacing around plot and between elements (i.e. axes titles to axes lines etc). You can set the spacing to determine how compact or spread out a plot is.
• Text size.

There are a number of preset palettes and layouts, and methods to create your own colour schemes.

Installation

This package is still under development, but can be installed using devtools.

devtools::install_github('Mikata-Project/ggthemr')

We plan to submit to CRAN soon, but that is currently blocked by an upstream issue now.

Usage

To just set the colour scheme:

ggthemr('dust')

That's it. Any ggplot you create from then on will have the theme applied. You can clear the theme and return to ggplot2's default using:

ggthemr_reset()

Known issues

Due to a bug in ggplot2 some geoms may return errors such as Error: Unknown colour name: a. See here

To avoid this and keep using ggthemr colours in these instances, please add a scale_colour_ggthemr_d() layer to your ggplot call.

For example:

ggplot(mtcars, aes(mpg, disp, colour = factor(am))) +
    geom_point() +
    scale_colour_ggthemr_d()

Palettes

The palette determines the colours of everything in a plot including the background, layers, gridlines, title text, axes lines, axes text and axes titles. The swatch is the the name given to the set of colours strictly used in styling the geoms/layer elements (e.g. the points in geom_point(), bars in geom_bar() etc.). At least six colours have been supplied in each palette's swatch.

There are a wide variety of themes in this package (and more on the way). Some of them serious business... others are deliberately stylish and might not be that good for use in proper publications.

flat

Base 16

flat dark

Base 16

camouflage

chalk

copper

dust

earth

fresh

grape

grass

greyscale

light

lilac

pale

sea

sky

solarized

Custom Palettes

define_palette() lets you make your own themes that can be passed to ggthemr() just like any of the palettes above. Here's an example of a (probably ugly) palette using random colours:

# Random colours that aren't white.
set.seed(12345)
random_colours <- sample(colors()[-c(1, 253, 361)], 10L)

ugly <- define_palette(
  swatch = random_colours,
  gradient = c(lower = random_colours[1L], upper = random_colours[2L])
)

ggthemr(ugly)

example_plot + ggtitle(':(')

You can define all elements of a palette using define_palette() including colours for the background, text, axes lines, swatch and gradients.

Layouts

The layout of a theme controls the appearance and position of the axes, gridlines and text. Some folk prefer both major and minor gridlines, others prefer none or something in between.

Clean

Clear (default)

Minimal

Plain

Scientific

Spacing

Plot margins and space between axes titles and lines etc. is controlled with the spacing parameter. Lower values will make plots more compact, higher values will give them more padding. Compare the plots below where the spacing has been set to 0, 1 and 2 respectively.

Type

The type parameter can be set to either inner or outer. When inner, the background colour of a plot will not extend past the plot area. outer will colour the entire plot and background.

ggthemr('earth', type = 'inner')
example_plot

ggthemr('earth', type = 'outer')
example_plot

Tweaking Themes

Squinting at a chart? Low on printer ink? ggthemr includes some methods to tweak charts to make them lighter or darker. Here's a standard theme:

ggthemr('dust')
example_plot

Maybe that plot comes out a bit pale looking when you print it. Here's how you can add a bit more contrast to the swatch:

darken_swatch(amount = 0.3)
example_plot

The second parameter to darken_swatch() controls the degree to which the colours are made darker. Full list of methods with similar functionality:

• darken_swatch() / lighten_swatch(): darker/lighter swatch colours.
• darken_gradient() / lighten_gradient(): darker/lighter gradient colours.
• darken_palette() / lighten_palette(): darker/lighter everything.

I'll add methods to darken/lighten the axes lines and text soon too.

Plot Adjustments

Most of the time you'll probably just want to set the theme and not worry about it. There may be times though where you'll want to make some small adjustment, or manually change what items appear as what colour in a plot.

ggthemr('dust')
mpg_plot <- ggplot(mpg[mpg$drv != '4', ], aes(factor(cyl), cty, fill = drv)) + 
  geom_boxplot() + labs(x = 'Cylinders', y = 'City MPG', fill = 'Drive Type') +
  theme(legend.position = 'bottom')
mpg_plot

For some reason you decide you want to change those colours. Front-wheel drive vehicles should be orange. Rear-wheelers should be that red colour. You could change the order of the levels of your fill variable, but you shouldn't have to do that. You just want to switch those colours but you have no idea what they are. swatch() will give you the colours in the currently active ggthemr palette.

swatch()

## [1] "#555555" "#db735c" "#EFA86E" "#9A8A76" "#F3C57B" "#7A6752" "#2A91A2"
## [8] "#87F28A" "#6EDCEF"
## attr(,"class")
## [1] "ggthemr_swatch"

So you can manually swap the two colours around.

to_swap <- swatch()[2:3]
mpg_plot + scale_fill_manual(values = rev(to_swap))

Note: the first colour in a swatch is a special one. It is reserved for outlining boxplots, text etc. So that's why the second and third colours were swapped.

A note about theme setting

ggthemr does three different things while setting a theme.

1. It updates the default ggplot2 theme with the specified ggthemr theme by using the ggplot2::theme_set() function.
2. It modifies the aesthetic defaults for all geoms using the ggplot2::update_geom_defaults() function.
3. It creates functions for all the different scales in the global environment.

In case, if you do not want to set the theme this way, use the set_theme = FALSE option while using the ggthemr function. An example of setting theme, geom aesthetic defaults and scales manually:

ggthemr_reset()
dust_theme <- ggthemr('dust', set_theme = FALSE)
example_plot

example_plot + dust_theme$theme

example_plot + dust_theme$theme + dust_theme$scales$scale_fill_discrete()

do.call(what = ggplot2::update_geom_defaults, args = dust_theme$geom_defaults$new$bar)
ggplot(diamonds, aes(price)) + geom_histogram(binwidth = 850) + dust_theme$theme

License

Released under GPL-3.