Labeling Outliers of Boxplots in R

Question

I have the code that creates a boxplot, using ggplot in R, I want to label my outliers with the year and Battle.

Here is my code to create my boxplot

require(ggplot2) ggplot(seabattle, aes(x=PortugesOutcome,y=RatioPort2Dutch ),xlim="OutCome",  y="Ratio of Portuguese to Dutch/British ships") +  geom_boxplot(outlier.size=2,outlier.colour="green") +  stat_summary(fun.y="mean", geom = "point", shape=23, size =3, fill="pink") +  ggtitle("Portugese Sea Battles") 

Can anyone help? I knew this is correct, I just want to label the outliers.

Answer 1

The following is a reproducible solution that uses dplyr and the built-in mtcars dataset.

Walking through the code: First, create a function, is_outlier that will return a boolean TRUE/FALSE if the value passed to it is an outlier. We then perform the "analysis/checking" and plot the data -- first we group_by our variable (cyl in this example, in your example, this would be PortugesOutcome) and we add a variable outlier in the call to mutate (if the drat variable is an outlier [note this corresponds to RatioPort2Dutch in your example], we will pass the drat value, otherwise we will return NA so that value is not plotted). Finally, we plot the results and plot the text values via geom_text and an aesthetic label equal to our new variable; in addition, we offset the text (slide it a bit to the right) with hjust so that we can see the values next to, rather than on top of, the outlier points.

library(dplyr) library(ggplot2)  is_outlier <- function(x) {   return(x < quantile(x, 0.25) - 1.5 * IQR(x) | x > quantile(x, 0.75) + 1.5 * IQR(x)) }  mtcars %>%   group_by(cyl) %>%   mutate(outlier = ifelse(is_outlier(drat), drat, as.numeric(NA))) %>%   ggplot(., aes(x = factor(cyl), y = drat)) +     geom_boxplot() +     geom_text(aes(label = outlier), na.rm = TRUE, hjust = -0.3) 

Answer 2

You can do this simply within ggplot itself, using an appropriate stat_summary call.

ggplot(mtcars, aes(x = factor(cyl), y = drat, fill = factor(cyl))) +    geom_boxplot() +   stat_summary(     aes(label = round(stat(y), 1)),     geom = "text",      fun.y = function(y) { o <- boxplot.stats(y)$out; if(length(o) == 0) NA else o },     hjust = -1   )