RStudio IDE
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An RStudio IDE is an data science integrated development environment.
- Context:
- It can (typically) be for R Development.
- It can range from being RStudio Desktop to being RStudio Server to being RStudio Workbench.
- It can range from being an Open Source RStudio to being a Licensed RStudio.
- …
- Example(s):
- RStudio v1.4.1717-3 (2021-06-01). [1]
- …
- RStudio v1.0.44 (2016-11-01).
- …
- Counter-Example(s):
- See: Python IDE.
References
2021
- (Wikipedia, 2021) ⇒ https://en.wikipedia.org/wiki/RStudio Retrieved:2021-11-2.
- RStudio is an Integrated Development Environment (IDE) for R, a programming language for statistical computing and graphics. It is available in two formats: RStudio Desktop is a regular desktop application while RStudio Server runs on a remote server and allows accessing RStudio using a web browser.
2021
- (Wikipedia, 2021) ⇒ https://en.wikipedia.org/wiki/RStudio#Packages Retrieved:2021-12-2.
- In addition to the RStudio IDE, RStudio PBC and its employees develop, maintain, and promote a number of R packages. These include:
- Tidyverse – R packages for data science, including ggplot2, dplyr, tidyr, and purrr
- Shiny – An interactive web technology
- RMarkdown – Markdown documents make it easy for users to mix text with code of different languages, most commonly R. However, the platform supports mixing R with Python, shell scripts, SQL, Stan, JavaScript, CSS, Julia, C, Fortran, and other languages in the same RMarkdown document. *** flexdashboard - publish a group of related data visualizations as a dashboard
- TensorFlow - open-source software library for Machine Intelligence. The R interface to TensorFlow lets you work productively using the high-level Keras and Estimator APIs and the core TensorFlow API
- Tidymodels - install and load tidyverse packages related to modeling and analysis
- Sparklyr - provides bindings to Spark’s distributed machine learning library. Together with sparklyr’s dplyr interface, you can easily create and tune machine learning workflows on Spark, orchestrated entirely within R
- Stringr - consistent, simple and easy-to-use set of wrappers around the 'stringi' package
- Reticulate - provides a comprehensive set of tools for interoperability between Python and R.
- Plumber - enables you to convert your existing R code into web APIs by merely adding a couple of special comments.
- knitr – Dynamic reports combining R, TeX, Markdown & HTML
- packrat – Package dependency tool
- devtools – Package development tool as well as helps to install R-packages from GitHub.
- sf – supports for simple features, a standardized way to encode spatial vector data. Binds to 'GDAL' for reading and writing data, to 'GEOS' for geometrical operations, and to 'PROJ' for projection conversions and datum transformations.
- In addition to the RStudio IDE, RStudio PBC and its employees develop, maintain, and promote a number of R packages. These include: