Option for simplifying the ggplot code

[KirstieJane]

Copied from feedback at PeerJ: https://peerj.com/preprints/27137/#feedback-1203

This is fantastic - thanks for writing it! One idea for simplifying the ggplot2 code: instead of dealing with two different data frames (one summary, one containing the raw data), you could use stat_summary() to create the summary for you. For instance, plot 7 could be generated with:

ggplot(simdat, aes(x=group, y=score, fill = group, colour = group)) +
geom_flat_violin(position = position_nudge(x = .25, y = 0), adjust =2) +
geom_point(position = position_jitter(width = .15), size = .25) +
stat_summary(geom="errorbar", fun.data="mean_cl_boot", position = position_nudge(.25), colour = "BLACK", size = 0.8, width = .1) +
stat_summary(geom="point", fun.data="mean_cl_boot", position = position_nudge(.25), colour = "BLACK") +
ylab('Score') + xlab('Group') + coord_flip() + theme_cowplot() + guides(fill = FALSE, colour = FALSE) +
scale_colour_brewer(palette = "Dark2") +
scale_fill_brewer(palette = "Dark2") +
ggtitle("Figure 7: Raincloud Plot with Mean ± 95% CI")