Search results
R package. R packages are extensions to the R statistical programming language. R packages contain code, data, and documentation in a standardised collection format that can be installed by users of R, typically via a centralised software repository such as CRAN (the Comprehensive R Archive Network).
May 23, 2011 · Use the RCurl package for retreiving info, and the XML or RJSONIO packages for parsing the response. If you are behind a proxy, set your options. opts <- list(. proxy = "136.233.91.120", proxyusername = "mydomain\\myusername", proxypassword = 'whatever', proxyport = 8080. ) Use the getForm function to access the API.
Usage example
fromJSON(rawToChar(search_example))Description. WikipediR is a wrapper around the MediaWiki API, optimised for the Wikimedia Foundation's production sites, such as Wikipedia. It is written in and for R, a statistical environment and associated programming language in heavy use by HCI researchers that, somehow, escaped having an API wrapper until now.
The tidyverse is a collection of open source packages for the R programming language introduced by Hadley Wickham [1] and his team that "share an underlying design philosophy, grammar, and data structures" of tidy data. [2] Characteristic features of tidyverse packages include extensive use of non-standard evaluation and encouraging piping.
ggplot2 is an open-source data visualization package for the statistical programming language R.Created by Hadley Wickham in 2005, ggplot2 is an implementation of Leland Wilkinson's Grammar of Graphics—a general scheme for data visualization which breaks up graphs into semantic components such as scales and layers. ggplot2 can serve as a replacement for the base graphics in R and contains a ...
dplyr is an R package whose set of functions are designed to enable dataframe (a spreadsheet-like data structure) manipulation in an intuitive, user-friendly way. It is one of the core packages of the popular tidyverse set of packages in the R programming language. [1] Data analysts typically use dplyr in order to transform existing datasets ...
People also ask
What are R packages?
Is R a programming language?
What is R language used for?
What is dplyr in R?
