Section 35 ggplot2 `theme`

Themes control the display of all non-data elements of the plot. You can override all settings with a complete theme like theme_bw(), or choose to tweak individual settings by using theme() and the element_ functions.

Use theme_set() to modify the active theme, affecting all future plots.

35.1 `theme`

X.theme.	Description
`theme_gray`	The signature ggplot2 theme with a grey background and white gridlines, designed to put the data forward yet make comparisons easy.
`theme_bw`	The classic dark-on-light ggplot2 theme. May work better for presentations displayed with a projector.
`theme_light`	A theme similar to theme_linedraw but with light grey lines and axes, to direct more attention towards the data.
`theme_dark`	The dark cousin of theme_light, with similar line sizes but a dark background. Useful to make thin coloured lines pop out.
`theme_minimal`	A minimalistic theme with no background annotations.
`theme_classic`	A classic-looking theme, with x and y axis lines and no gridlines.
`theme_void`	A completely empty theme.

35.2 `theme_gray()`

g <- ggplot(mtcars) + geom_point(aes(x = wt, y = mpg,
     colour = factor(gear))) + facet_wrap(~am)

g + theme_gray()

35.3 `theme_bw()`

g + theme_bw()

35.4 `theme_light()`

g + theme_light()

35.5 `theme_dark()`

g + theme_dark()

35.6 `theme_minimal()`

g + theme_minimal()

35.7 `theme_classic()`

g + theme_classic()

35.8 Customised theme

g + theme(plot.title=element_text(size=30, face='bold', family = 'sans'), 
          axis.text.x=element_text(size=15, colour='blue'), 
          axis.text.y=element_text(size=15, colour='red'),
          axis.title.x=element_text(size=25, colour='brown'),
          axis.title.y=element_text(size=25, colour='purple'),
          plot.margin = margin(2, 2, 2, 2, 'cm'),
          axis.line = element_line(arrow = arrow()))