R/position-jitternormal.R
position_jitternormal.Rd
ggplot2::geom_jitter()
adds random noise to points using a uniform
distribution. When many points are plotted, they appear in a rectangle. This
position jitters points using a normal distribution instead, resulting in
more circular clusters.
position_jitternormal(sd_x = NULL, sd_y = NULL)
sd_x, sd_y | Standard deviation to add along the x and y axes. The
function uses If omitted, defaults to 0.15. As with |
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# Example data df <- data.frame( x = sample(1:3, 1500, TRUE), y = sample(1:3, 1500, TRUE) ) # position_jitter results in rectangular clusters ggplot(df, aes(x = x, y = y)) + geom_point(position = position_jitter())# geom_jitternormal results in more circular clusters ggplot(df, aes(x = x, y = y)) + geom_point(position = position_jitternormal())# You can adjust the standard deviations along both axes # Tighter circles ggplot(df, aes(x = x, y = y)) + geom_point(position = position_jitternormal(sd_x = 0.08, sd_y = 0.08))# Oblong shapes ggplot(df, aes(x = x, y = y)) + geom_point(position = position_jitternormal(sd_x = 0.2, sd_y = 0.08))# Only add random noise to one dimension ggplot(df, aes(x = x, y = y)) + geom_point( position = position_jitternormal(sd_x = 0.15, sd_y = 0), alpha = 0.1 )