Research software · R package
Look within groups.
We built plotrr to help inspect relationships within groups before fitting a model to the pooled data.
Initial versions: entirely human-created. AI was used only for later updates and code fixes.
Quick start
install.packages("plotrr")
library(plotrr)
# One bivariate plot for each cylinder group.
bivarplots("wt", "mpg", "cyl", mtcars)For the development version, use remotes::install_github("lobsterbush/plotrr").
Explore within groups
A relationship in the whole sample can look different within a country or school. We use these plots to see which groups follow the pattern and which ones need a closer look.
| Task | Function |
|---|---|
| Compare two measures within each group | bivarplots() |
| Inspect distributions as histograms | histplots() |
| Compare distributions as violins | violinplots() |
| Make group-specific dot plots | dotplots() |
| Plot a relationship with marginal rugs | bivarrugplot() |
Pass column names as strings and supply a data frame. Functions that produce several plots print each plot in turn; consult the reference for each signature.
Provenance
Human – AI (editor) 👤✏️🤖
We wrote every initial version ourselves, without AI. We’ve used AI only for later updates and code fixes. I’m Charles Crabtree, and this is my account of how the package was made.
The label and mark follow The Latent Review’s provenance standard, shared under CC BY 4.0. The software remains MIT licensed.
Help and development
If something isn’t working, please tell us in the issue tracker. The source and README include installation requirements and local documentation build instructions.