An experimental and unofficial wrapper for interacting with ChatGPT in R.
Install the devtools package by running the following command in your R console:
install.packages("devtools", "openai")
#Load the devtools package by running the following command in your R console:
library(devtools)Install the gptchatteR package from the isinaltinkaya GitHub repository by running the following command in your R console:
install_github("isinaltinkaya/gptchatteR")Load the gptchatteR package by running the following command in your R console:
library(gptchatteR)And that's it! The gptchatteR package should now be installed and ready to use.
You can authenticate with your openai API key using the chatter.auth function, create a chatter with chatter.create function, and start sending messages to GPT-3 using the chatter.chat function. For more information and examples, see the gptchatteR package documentation and tutorials.
# Load the devtools package
library(devtools)
# Install the gptchatteR package from GitHub using the devtools package
install_github("isinaltinkaya/gptchatteR")
# Load the gptchatteR package
library(gptchatteR)
# Authenticate using your API key
chatter.auth("sk-qGTnjsCI8mZkCtvXVe6SUSEYOUROWNKEY")
# Create a new chat session
chatter.create()# Create test data
df <- data.frame(A=seq(1,10,1),B=seq(10,19,1))
# Feed the chatter instance
chatter.feed("I have a dataframe named df. It has two columns: A and B")
# Save the chatter response object
cp <- chatter.plot("Plot a scatterplot where x axis is A, y is B")# Create a test data frame
library(tidyverse)
rt <- rnorm(1000, mean=700, sd=100) # Generate RT data
df <- tibble(RT = rt, group = rep(c("low", "high"), each=500))
# Feed the data frame information to the chat session
chatter.feed("I have a dataframe df")
# Use the chatter.plot function to create a histogram
chatter.plot("plot histogram of rt using ggplot with df")ChatGPT