In this scenario I have added a grouping variable in the iris dataframe. I wish to make a boxplot of Sepal.Length by Species and filled by the grouping variable with the outliers identified with a label. This all works but when I try to label the outlier with geom_text, they do now print with the grouped position but instead in the center. It seems geom_text is not inheriting the global aes() but I don't know why.
code:
library(tidyverse) # function to id outlier is_outlier <- function(x) { return(x < quantile(x, 0.25) - 1.5 * IQR(x) | x > quantile(x, 0.75) + 1.5 * IQR(x)) } # make a grouping variable iris$group <- sample(1:3, nrow(iris),replace = T) # make a outlier variable iris <- iris %>% group_by(Species, group) %>% mutate(outlier = ifelse(is_outlier(Sepal.Length), Sepal.Length, as.numeric(NA))) iris$outlier # graph iris %>% ggplot(aes(x = Species,y = Sepal.Length, fill = factor(group))) + geom_boxplot() + geom_text(aes(label = outlier))
labels are in the center rather than over their respective box. What's going on here?
This is due to dodging in the boxplot once you have the group. Use position_dodge
to explicitly control it. You may want to experiment with the hjust
and vjust
arguments in geom_text
to avoid plotting over the point.
iris %>%
ggplot(aes(x = Species,y = Sepal.Length, fill = factor(group))) +
geom_boxplot(position = position_dodge(width = 1)) +
geom_text(aes(label = outlier), position = position_dodge(width = 1))
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