How does stat_summary_bin bin in ggplot2?

user_15001838 0
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I was wondering how does stat_summary_bin function bin when we use bin argument?

ggplot(df, aes(x=x,y=y)) +
               stat_summary_bin(fun='mean', bins=100,
               color='orange', size=2, geom='point') + geom_smooth(method='lm') + theme_minimal()

Does it split the x-axis into equal width? Or Does each bin have an equal number of observations?

I thought stat_summary_bin splits the x axis into equally spaced bins. But the following plot it the result of the above code, and it doesn't seem like it's spaced equally on the x axis. stat_summary_bin

binning ggplot2 r
1 Answers

In your example code stat_summary_bin will make 20 bins equally spaced along the x axis. Then it will plot 1 y-axis point for each bin, based on the mean() for all the observations that occur within that bin.

You can observe this behaviour in the following plot

library(tidyverse)
iris %>% 
  ggplot(aes(x=Sepal.Length,y=Sepal.Width)) +
  stat_summary_bin(fun='mean', bins=20,
                   color='orange', size=2, geom='point')+
  geom_point()

Run with and without geom_point() turned on.

https://ggplot2.tidyverse.org/reference/stat_summary.html

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