View source: R/scale-openintro.R
scale_fill_openintro | R Documentation |
Fill scale constructor for OpenIntro IMS colors
scale_fill_openintro(palette = "main", discrete = TRUE, reverse = FALSE, ...)
palette |
Character name of palette in openintro_palettes |
discrete |
Boolean indicating whether color aesthetic is discrete or not |
reverse |
Boolean indicating whether the palette should be reversed |
... |
Additional arguments passed to |
library(ggplot2) library(dplyr) # Categorical variable with two levels ggplot(evals, aes(x = ethnicity, fill = ethnicity)) + geom_bar() + scale_fill_openintro("two") # Categorical variable with three levels ggplot(evals, aes(x = rank, fill = rank)) + geom_bar() + scale_fill_openintro("three") # Continuous variable with levels # Generates a palette, but may not be the best palette # in terms of color-blind and grayscale friendliness ggplot(diamonds, aes(x = clarity, fill = clarity)) + geom_bar() + scale_fill_openintro() # For continuous palettes # use scale_color_gradient instead ggplot(evals, aes( x = bty_avg, y = score, color = score )) + geom_jitter(size = 2) + scale_color_gradient(low = IMSCOL["blue", "full"], high = IMSCOL["blue", "f6"]) ggplot(evals, aes( x = bty_avg, y = score, color = cls_perc_eval )) + geom_jitter(size = 2) + scale_color_gradient(low = IMSCOL["green", "full"], high = IMSCOL["green", "f6"])
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