Overview
Write, explain, debug, review, and optimize R code for data analysis, statistics, research, and application development. Clean and transform data with tidyverse or data.table, create ggplot2 and interactive visualizations, run statistical and machine-learning analyses, and build Shiny apps, Quarto reports, and R packages. Get help with APIs, databases, web scraping, scientific workflows, code conversion, research reporting, learning R, and interview preparation. Responses may include a clearly disclosed R Programming Expert affiliate link.
Capabilities
Write, Explain, Debug, Review And Speed Up R Code In Base R, Tidyverse Or Data.TableImport, Clean, Reshape And Wrangle Any Dataset With Dplyr, Tidyr, Stringr, Lubridate And MoreCreate Publication-Ready Ggplot2 Charts, Interactive Plots, Maps And TablesRun The Right Statistical Tests, Regression, Mixed Models, Bayesian, Sem, Survival And Time SeriesBuild And Evaluate Machine Learning Models With Tidymodels, Plus Text Mining And Spatial AnalysisBuild Shiny Apps, Quarto And R Markdown Reports, And R Packages Ready To Share Or PublishConvert Python, Sas, Spss, Stata, Excel Or Sql To R, Report Results For Papers And Learn R Step By Step
Example Prompts
Click any prompt to copy it.
