Why R developers shouldn't settle for Python answers

"Just use reticulate" is not a workflow. R teams standardize on packages, review conventions, and reporting templates that do not exist in Python. When an assistant translates your question into pandas mental models, you spend time translating back.

R excels at typed rectangular data, formula interfaces for models, and publication-ready plots. Those strengths come with idioms — factors, tidy evaluation, non-standard evaluation in older packages — that general models skip.

A better bar

Ask for a survival curve with risk tables, or a mixed model with random slopes by site. The answer should name survival, lme4, and the packages your reviewer expects — not sketch equivalent code in another language.

That is the bar RCode is built for.