R: Integrate 'OpenAI' Large Language Models into Your 'R' Workflows

# Integrate 'OpenAI' Large Language Models into Your 'R' Workflows

## Documentation for package ‘TheOpenAIR’ version 0.1.0

- DESCRIPTION file
- Package README

## Help Pages

%c% | Send a message to ChatGPT and assign the response to a variable
add_roxygen | Add Roxygen2 documentation to an R function
add_roxygen_prompt | Input: message content template for add_roxygen()
add_to_chatlog | Add data to a chat log
chat | Start or continue a chat conversation
chatlog-class | chatlog class
chat_completion | Generate Text Using the OpenAI API's Chat Endpoint
clean_output | Clean Output From Code Responses
clear_chatlog | Clear a chat log
contains_roxygen | Check if a text file or character string contains Roxygen2 documentation
contains_r_func | Check if a text file or character string contains an R function definition
count_tokens | Count the number of tokens in a text string
created | Extract Created DateTime from OpenAI API response
df_to_csv | Convert a data.frame to a CSV-formatted character string
edit_code | Edit code based on user's input
extract_blocks | Extract blocks of a specified type from a list of blocks
extract_blocks_content | Extract the content parts of blocks
extract_entities | Extract Entities from a Text
extract_entities_prompt | Input: message content template for extract_entities()
extract_roxygen2 | Extract roxygen2 documentation lines from a function definition
extract_r_code | Extract R code and comments from a given input string.
get_chatlog | Get the current chatlog
id | Extract ID from OpenAI API response
initialize_messages | Initialize a new messages object for OpenAI API chat completions
install_tiktoken | Install the tiktoken Python package
is_chatlog | Determine if an object is a chatlog
is_json | Check if the provided string is in valid JSON format.
is_python | Check if a Character String Contains Valid Python Code
is_r | Check if a character string contains valid R code
is_xml | Check if the provided string is in valid XML format.
java_to_r | Convert Java code to R code
java_to_r_prompt | Input: message content template for java_to_r()
messages | Extract messages from a response object or a chatlog object
messages_content | Extract Messages Content from OpenAI API Response
model | Extract Model from OpenAI API response
nested_to_pipe | Convert nested R code to pipe syntax
nested_to_pipe_prompt | Input: message content template for nested_to_pipe()
num_tokens | Get number of tokens in a string using OpenAI's tiktoken library
num_tokens_file | Compute total number of tokens in a text file
object | Extract object information from OpenAI API response
openai_api_key | Set OpenAI API Key as an Environment Variable
parse_response | Parse a Response From the API
python_to_r | Convert Python code to R code
python_to_r_prompt | Input: message content template for python_to_r()
read_text | Convert Text to Tidy-Text Format
read_text_batches | Load data from text files in batches
refactor | Refactor R Code with AI Assistance
refactor_prompt | Input: message content template for refactor()
references_to_bibtex | Convert references in plain text to BibTeX format
references_to_bibtex_prompt | Input: message content template for references_to_bibtex()
regenerate | Regenerate the last response in an ongoing chat
replace_file_extension | Replace File Extension
r_to_python | Convert R Code to Python Code
r_to_python_prompt | Input: message content template for r_to_python()
set_chatlog | Set up a new chatlog
split_text | Split Text into Chunks
start_chat | Start a new chat session
trump | Essay on How Donald Trump Became President of the United States
usage | Extract usage data from OpenAI API response
write_code | Write code based on user's input
write_test | Write test for an R function
write_test_prompt | Input: message content template for write_test()