Description Usage Arguments Examples
View source: R/position-jitternormal.R
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.
1 | 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 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 | # 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)
|
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