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ChatGPT can respond to inquiries on a variety of technology topics, including how to develop R code, without any fine-tuning or specialized training. That implies that every R programmer, even one with minimal experience with huge language models, has access to ChatGPT's power.
It is becoming simple to integrate ChatGPT's AI technology into your R language workflow thanks to the ecosystem that is developing around it and R. Let's now examine some of the most prominent R-focused ChatGPT resources that are currently accessible.
An attractive and convenient method to try out ChatGPT and R is using this app. Watch as it creates R code, your findings, and any accompanying visuals once you upload a data set and pose a query. Despite having the moniker RTutor, the application may also produce Python code.
This multilingual tool "translates" code between different programming languages. The list of available languages includes R as well as Java, Python, JavaScript, C, C++, and PHP. Only available over the web, this program may be found at https://analytica.shinyapps.io/codelingo/. To use it, you must enter your OpenAI API key; after testing, you might wish to renew the key.
For new users who want ChatGPT on their console, this package, which is accessible at https://github.com/JBGruber/askgpt, maybe a nice place to start, in part because it provides some instructions when it first starts up.
The RStudio add-ins for this package and its brother, gpttools (described below), operate with ChatGPT, but some command-line functions may be used in any IDE or terminal. In RStudio, add-ins may be accessed via the drop-down menu that appears above the code source pane or by searching for them in the command palette (Ctrl-shift-p).
According to the package website, the purpose of the gpttools package is "to extend gptstudio for R package developers to more easily incorporate the use of large language models (LLMs) into their project workflows."
As of this writing, the gpttools package is not available on CRAN. There are 10 add-ins listed in the ChatGPT R package, which provides both functions and RStudio add-ins for utilizing ChatGPT in R.
One benefit of gptchatteR, which is marketed as "an experimental and unofficial wrapper for interacting with OpenAI GPT models in R," is its chatter.the plot () method.
You can't use this R package to assist with coding. Instead, it accesses another ChatGPT feature—creating images—using a familiar R and Shiny interface. If you intend to use this package for anything other than pleasure, you should be aware of the ethical intellectual property concerns that are now entangled in AI picture generation depending on what was used to train models.
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