knitr::opts_chunk$set( collapse = TRUE, comment = "#>", fig.path = "README-" )
if(!require(devtools)) install.packages("devtools") install_github('databrew/databrew')
The theme_databrew()
function, used in conjunction with ggplot2
objects, styles a plot to the databrew brand:
library(ggplot2) library(databrew) df <- data.frame(a = 1:10, b = rep(1, 10), c = letters[1:10]) g <- ggplot(data = df, aes(x = a, y = b, color = c)) + geom_point(size = 15) + theme_databrew() + theme(legend.position = 'none') g
The databrew
package includes a few brand-compatible color palettes. The below show their usage:
n <- length(unique(df$c)) g + scale_color_manual(name = '', values = make_colors(n = n))
g + scale_color_manual(name = '', values = make_colors(n = n, categorical = FALSE))
g + scale_color_manual(name = '', values = make_colors(n = n, categorical = FALSE, b2g = TRUE))
g + scale_color_manual(name = '', values = make_colors(n = n, categorical = FALSE, r2g = TRUE))
Read the vignette for full details.
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