Outliers in Box Plots.

tidyverse
,
4

There is no need to include your whole dataset on a minimal reproducible example, a representative sample (subset) of your data, that reproduces your issue would be enough.

For example, I'm going to make a reprex for my proposed solution using the iris built-in dataset.

library(dplyr)
library(ggplot2)

# Custom outlier function
is_outlier <- function(x) {
    return(x < quantile(x, 0.25) - 1.5 * IQR(x) | x > quantile(x, 0.75) + 1.5 * IQR(x))
}

iris %>% 
    select(Petal.Width, Species) %>% 
    group_by(Species) %>% 
    mutate(outlier = is_outlier(Petal.Width)) %>% 
    filter(outlier == FALSE) %>%
    ggplot(aes(Species, Petal.Width, fill = Species)) +
    geom_boxplot()

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