Allow choosing quantile definition in boxplots #6820
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teunbrand merged 5 commits intotidyverse:mainfrom Mar 18, 2026
Merged
Allow choosing quantile definition in boxplots #6820teunbrand merged 5 commits intotidyverse:mainfrom
teunbrand merged 5 commits intotidyverse:mainfrom
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Thank you for the contribution! The failing tests are unrelated to this PR. |
teunbrand
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Mar 18, 2026
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We need to reproduce SAS boxplot output where percentiles use SAS’s default PCTLDEF = 5, which corresponds to R’s stats::quantile(type = 2). Currently, geom_boxplot()/stat_boxplot() use R’s default quantile definition (type = 7) for hinges/median, and there is no way to change it. This makes it impossible to match SAS results out-of-the-box.
I created a fork with a minimal fix that adds a quantile_type parameter (default 7) to stat_boxplot() (and forwards it from geom_boxplot()), so users can request type = 2 when they need SAS parity.
Although this change is technically small and narrowly scoped, it directly affects which points are classified as outliers and can lead to large, visibly different boxplots; since we’re actively encouraging SAS users to adopt R/ggplot2, supporting SAS’s default percentile definition (PCTLDEF = 5 → R type = 2) would be a valuable, low-risk quality-of-life improvement.
Solves #6819