8 ChatGPT Tools for R Programming - Reseller News
R programming is a popular and powerful tool for data analysis, statistics, and machine learning. Now, with the generative power of OpenAI's GPT 3.5 LLM, R users can access a growing collection of ChatGPT packages and apps. ChatGPT can answer questions about a wide range of technology subjects, including how to write R code. With an ecosystem of developers working on ChatGPT and R, it's easier than ever to incorporate AI technology into your R language workflow. In this article, we'll look at some of the most notable R-focused ChatGPT resources currently available.
1) RTutor
RTutor is an elegant and easy-to-use app that generates R code and graphics based on questions and data sets that users upload. It can also generate Python code. RTutor is available on the web, and it's currently the only app or package listed that doesn't require a ChatGPT API key to use. However, the creators ask that heavy users supply their own API key to avoid billing their account. RTutor's primary goal is to help people with some R experience to learn R or be more productive. Users should be aware of bugs and errors. The code for RTutor is open source and available on GitHub, but licensing only allows nonprofit or non-commercial use or commercial testing.
2) Codelingo
Codelingo is a multi-language app that "translates" code from one programming language to another, including R. It's available as a web application only, and users need to input their OpenAI API key to use it. The app was created by Analytica Data Science Solutions. While Codelingo can be a useful starting point for translating code, users will need to know how to fix any mistakes.
3) askgpt package
The askgpt package, created by Johannes Gruber, is a good starting point for first-time users who want ChatGPT in their console. The package offers some instructions upon initial startup. Users can load the package with library(askgpt). The package stores results of a user's query as an object so they can save them to a variable. While there are a few coding-specific functions, such as annotate_code() and test_function(), users will need to cut and paste responses back into their source code.
4) gptstudio package
The gptstudio package, available on CRAN, is a general-purpose helper that makes it easy for R programmers to incorporate use of large language models (LLMs) into their project workflows. There are several add-ins within RStudio that work with ChatGPT. The ChatGPT add-in launches a browser-based app for asking R coding questions and offers options for programming style and proficiency. Another add-in, ChatGPT in Source, allows users to request changes to their code and then applies them. However, users should be aware that the results they get from ChatGPT may not always be accurate.
5) RChatbot
RChatbot is an open-source chatbot for R programming that integrates with Slack. The chatbot can answer a range of R-related questions, such as how to install packages and how to write code to perform specific tasks. Users can also use the chatbot to search Stack Overflow for previously asked questions and answers.
6) ChatGPT for R
ChatGPT for R is another add-in for RStudio that allows users to ask ChatGPT questions directly within their code. The output appears in the console, and users can store the results as a variable for further use in their code.
7) RTransformers
RTransformers is a collection of pre-trained transformer models for R. Transformer models are a type of deep learning model that can analyze and process large amounts of data. RTransformers can be used for a range of natural language processing tasks, such as text classification, sentiment analysis, and language translation.
8) ChatRBot
ChatRBot is another open-source chatbot for R that can answer a range of R-related questions. Users can also use the chatbot to search for packages on CRAN and GitHub or to fetch data from APIs. ChatRBot is available on GitHub.
In conclusion, there are numerous ChatGPT tools available for R programming that can make it easier for users to code, automate processes, and make decisions. While ChatGPT is a powerful tool, users should be aware that the results they get may not always be accurate, and they may need to make adjustments to their code. With this in mind, R users can take advantage of the many benefits that ChatGPT has to offer.
