플러그인

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.

순위 기록

수집 날짜별로 ChatGPT 공개 플러그인 디렉터리의 표시 순서를 확인하세요. Popular는 공식 추천 목록입니다. 설치 및 사용 횟수는 공개되지 않습니다.

– 순위 #181
수집된 순위 (3)
수집된 순위
수집 날짜분류순위
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.

기능

  • 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