The last two functions I typed down were:
geom_boxplot(aes(x = trial, y = time) + coord_flip())
geom_boxplot(aes(x = trial, y = time) + coord_flip())
aes(geom_histogram(y = ..density..))
The data table contains two columns: one contains the trial time, and the other is numbering the trial times (1,2,,3,4...). I'm supposed to create a second, filtered version of the dataset that removes the outliers that you see in the distribution. But how do I do that?