Creating bar plot with error bars using ggplot2's stat_summary in R (CC318)

[@luckybarrel7829]

There is an inbuilt function for sd. It's called mean_sdl. The default is mean +/- 2SD, so you need to pass on arguments to get mean +/- 1SD. So the function will look like: stat_summary(fun.data = "mean_sdl", fun.args = list(mult = 1), geom = "errorbar", width = 0.4) That list(mult = 1) is the multiples of SD that should be computed, and by default it is kept to 2 since looking at overlap of errorbars plotted with 2SD gives a good indication whether a result is significantly different or not by a t-test.

[@zgl9764]

Great video, I really enjoy watching you code!

[@Riffomonas]

My pleasure - thanks for watching!

[@erikp6614]

Very nice video!!! As an alternative to changing the y axis (around 25:40) one can use the expansion function. The expansion function let you choose multiplicative and additive expansion of the y axis.

[@Riffomonas]

Thanks - I personally find expansion() not super intuitive. I'll have to keep working with it

[@lucasamoroso92]

Great video! I wish patterns within graphs were more natural to ggplot syntax, there are cases where they can be very useful (not in this case though haha)

[@Riffomonas]

Thanks! Stay tuned for Wednesday's video 🤓

[@ColinDdd]

the whole thing where error bars sometimes are standard error and sometimes standard deviation is so weird to me. what is the story with that! i ran into this trying to see what geom_errorbar(stat="summary") was doing, i think it is +/- one standard error, similar to what you saw with it defaulting to mean_se(). i guess sometimes good to see the underlying distribution vs the simple bar :) also pretty odd that you have to manually place the error bar, i wonder if there is a more natural way to get it to the right center position. but as always, great video!

[@Riffomonas]

Thanks for watching! It seems everyone has a different opinion on SD/SE 🤣

[@zgl9764]

Great video, I really enjoy watching you code!

[@Riffomonas]

Glad to hear it! 🤓