wplot

A clean theme for ggplot2 with matching geom defaults.

Installation

Install from GitHub using the devtools package:

devtools::install_github("dbarrows/wplot")

Possible CRAN version in the future.

Examples

library(wplot)

library(ggplot2)
library(magrittr)
library(tibble)

Light Theme

ggplot(mpg, aes(displ, hwy, colour = class)) +
    geom_point() +
    theme_wl()

ggplot(mpg, aes(displ)) +
    geom_histogram(bins = 30) +
    theme_wl()

Options

The grid can be turned on/off with the grid option, and the font can be a made serif:

library(gapminder)
library(dplyr)

gapminder %>%
    mutate(cc = I(country_colors[match(country, names(country_colors))])) %>%
    filter(continent %in% c("Africa", "Europe") & year == 2007) %>%
    ggplot(aes(log(gdpPercap), lifeExp)) +
        geom_point(aes(colour = cc, size = sqrt(pop/pi)/1500)) +
        theme_wl(grid = FALSE, serif = TRUE) +
        theme(legend.position = "none")

Dark theme

ggplot(mpg, aes(displ, hwy, colour = class)) +
    geom_point() +
    theme_wd() +
    theme(plot.margin = margin(1, 1, 1, 1, "cm"))

ggplot(mpg, aes(hwy)) +
    geom_histogram(bins = 30) +
    theme_wd() +
    theme(plot.margin = margin(1, 1, 1, 1, "cm"))

tibble(x = seq(0, 100, length.out = 50),
       y = sqrt(x) + rnorm(length(x))) %>%
    ggplot(aes(x, y)) +
        geom_point() + 
        geom_smooth() +
        theme_wd() +
        theme(plot.margin = margin(1, 1, 1, 1, "cm"))

Classic theme

For a slightly larger serif font, smaller points, and no grid.

mpg %>%
    ggplot(aes(displ, cty)) +
    geom_point() +
    geom_smooth() +
    theme_wc()

Tufte theme

You can get the Tufte look:

library(MASS)

Boston %>%
    ggplot(aes(ptratio, tax)) +
        geom_point() +
        geom_rug() +
        theme_wt()

h <- Boston %>%
    pull(tax) %>%
    hist(plot = FALSE)
df <- h %>%
    with(tibble(tax = mids, count = counts))
ybreaks <- seq(20, max(df$count), by = 20)
df %>%
    ggplot(aes(tax, count)) +
        geom_col(orientation = "x", width = diff(h$breaks[1:2])/2) +
        scale_y_continuous(breaks = ybreaks) +
        theme_wt() +
        geom_hline(size = 0.75,
                   yintercept = ybreaks,
                   col = theme_wt()$plot.background$fill)