README.md

In UBC-MDS/SOresponse_R: The SOresponse Package Is Used For Text Analysis Of Stack Overflow Responses.

SOresponse_R

Installation

Install this package directly from GitHub:

devtools::install_github("UBC-MDS/SOresponse_R")

Usage

Simple example demonstrating the functionality of this package:

# load package
library(SOresponseR)

# load Stack Overflow webpage
web_page('https://stackoverflow.com/questions/39/reliable-timer-in-a-console-application')

# return author's selected answer
popular('https://stackoverflow.com/questions/39/reliable-timer-in-a-console-application', type='author')

# return general statitics about response page
response_stats('https://stackoverflow.com/questions/39/reliable-timer-in-a-console-application')

Contributors

• Ted Thompson (@TeddTech)
• Fang Yang (@fyang95)
• Ying Dong (@yvonnedy)

Overview

The SOresponse package is used for text analysis of Stack Overflow responses. There are both R and Python versions for this package. This package will include 3 functions: web_page() popular() response_stats()

• web_page(url): Loads Stack Overflow response webpage.

  Argument:

url - Web address of Stack Overflow response page. (Must enter exact URL)

*Value:*

Returns the question being asked on the given Stack Overflow response webpage. If unsuccessful corresponding error will be returned.

• popular(url, type): Returns most popular response on webpage.

Arguments:

`url` - An object that used the `web_page()` function.

`type` - "likes" returns response with the most likes. "author" returns response confirmed by author of question.

Value:

Returns a response. This will be of a character type.

• response_stats(url): Returns general statistics about question being asked on Stack Overflow page.

Argument:

`url` - An object that used the `web_page()` function.

Value:

Returns a vector of length 4 that includes number of responses, average reputation score, top reputation score, author reputation score.

Similar packages to SOresponse are Py-StackExchange for python and overflowr for R. Py-StackExchange is well managed and has been kept up to date. overflowr has been abandon. There links respectively are https://github.com/lucjon/Py-StackExchange and https://meta.stackexchange.com/questions/174972/stackoverflow-api-for-r.

UBC-MDS/SOresponse_R documentation built on May 26, 2019, 6:33 a.m.