Plugins

R Programming Expert

Syed Fasih Haider Raza Rizvi · github.com

ChatGPT

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.

Open in ChatGPT

How to install R Programming Expert in ChatGPT

  1. Open the official listing for R Programming Expert in the ChatGPT workspace you want to use.
  2. Choose Install plugin if available. Follow any connection steps for the apps listed on the page.
  3. Open a new conversation on a supported ChatGPT surface. Select R Programming Expert from the plugin options or mention it by name.
Official ChatGPT setup guide

How to use R Programming Expert

Check the marketplace listing or publisher’s documentation for supported actions and examples.

Ranking history

Browse the order shown in the public ChatGPT Plugins directory on each capture date. Popular is a curated collection. OpenAI does not publish install or usage counts here.

– Position #181
Recorded positions (3)
Recorded positions
Capture dateCategoryPosition
Data & Analytics#181
Data & Analytics#181
Data & Analytics#182

Frequently asked questions

Why is Install plugin missing?

Check your account, workspace, plan and region. If the listing says Desktop only, open it in the ChatGPT desktop app.

Capabilities

  • Write
  • explain
  • debug
  • review and speed up R code in base R
  • tidyverse or data.table
  • Import
  • clean
  • reshape and wrangle any dataset with dplyr
  • tidyr
  • stringr
  • lubridate and more
  • Create publication-ready ggplot2 charts
  • interactive plots
  • maps and tables
  • Run the right statistical tests
  • regression
  • mixed models
  • Bayesian
  • SEM
  • survival and time series
  • Build and evaluate machine learning models with tidymodels
  • plus text mining and spatial analysis
  • Build Shiny apps
  • Quarto and R Markdown reports
  • and R packages ready to share or publish
  • Convert Python
  • SAS
  • SPSS
  • Stata
  • Excel or SQL to R
  • report results for papers and learn R step by stepShow more