About
ggpol adds parliament diagrams and various other visualizations and convenience functions to ggplot2.
Installation
ggpol can be installed via CRAN:
install.packages("ggpol")Alternatively, the development version can be installed via GitHub:
if (!require(devtools)) {
install.packages('devtools')
}
devtools::install_github('erocoar/ggpol')Selected Features
Below are two functions added by ggpol. For a full overview with applications, please refer to the vignette.
geom_parliament draws a parliament diagram, clustering points along an arc by parties with each point representing a single member of parliament.
bt <- data.frame(
parties = factor(c("CDU", "CSU", "AfD", "FDP", "SPD",
"Linke", "Gruene", "Fraktionslos"),
levels = c("CDU", "CSU", "AfD", "FDP", "SPD",
"Linke", "Gruene", "Fraktionslos")),
seats = c(200, 46, 92, 80, 153, 69, 67, 2),
colors = c("black", "blue", "lightblue", "yellow",
"red","purple", "green", "grey"),
stringsAsFactors = FALSE)
ggplot(bt) +
geom_parliament(aes(seats = seats, fill = parties), color = "black") +
scale_fill_manual(values = bt$colors, labels = bt$parties) +
coord_fixed() +
theme_void()
geom_boxjitter produces a hybrid of box- and scatterplot.
df <- data.frame(score = rgamma(150, 4, 1),
gender = sample(c("M", "F"), 150, replace = TRUE),
genotype = factor(sample(1:3, 150, replace = TRUE)))
ggplot(df) + geom_boxjitter(aes(x = genotype, y = score, fill = gender),
jitter.shape = 21, jitter.color = NA,
jitter.params = list(height = 0, width = 0.04),
outlier.color = NA, errorbar.draw = TRUE) +
scale_fill_manual(values = c("#ecb21e", "#812e91")) +
theme_minimal()
Roadmap
If you would like to see a certain feature, please file an issue with a detailed description.