Go from this:
d <- data.frame(Result = rnorm(90),
Timepoint = factor(c("Before", "During", "After"),
levels = c("Before", "During", "After")),
Gender = c(rep("Male", 3), rep("Female", 3)),
Individual = rep(1:30, each = 3)
)
library(ggplot2)
ggplot(d, aes(y = Result, x = Timepoint, color = Gender)) +
geom_point()
To this:
ggplot(d, aes(y = Result, x = Timepoint, color = Gender)) +
geom_point(position = swarm::position_swarm(width = 0.25))
You can even keep track of pairing:
ggplot(d, aes(y = Result, x = Timepoint, color = Gender)) +
geom_point(position = swarm::position_swarm(width = 0.25)) +
geom_line(aes(group = Individual),
position = swarm::position_swarm(width = 0.25))
# install.packages("devtools")
devtools::install_github("seaaan/swarm")
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