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The RStudio IDE provides a mechanism for executing R functions interactively from within the IDE through the Addins menu. Binds to 'GDAL' for reading and writing data, to 'GEOS' for geometrical operations, and to 'PROJ' for projection conversions and datum transformations.

sf – supports for simple features, a standardized way to encode spatial vector data.

#Https download rstudio for mac install#

devtools – package development tool as well as helps to install R-packages from GitHub.knitr – dynamic reports combining R, TeX, Markdown & HTML.

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Plumber – enables you to convert your existing R code into web APIs by merely adding a couple of special comments.

Reticulate – provides a comprehensive set of tools for interoperability between Python and R.

Stringr – consistent, simple and easy-to-use set of wrappers around the 'stringi' package.

Together with sparklyr’s dplyr interface, you can easily create and tune machine learning workflows on Spark, orchestrated entirely within R

Sparklyr – provides bindings to Spark’s distributed machine learning library.

Tidymodels – install and load tidyverse packages related to modeling and analysis.

The R interface to TensorFlow lets you work productively using the high-level Keras and Estimator APIs and the core TensorFlow API

#Https download rstudio for mac software#

TensorFlow – open-source software library for Machine Intelligence.

flexdashboard – publish a group of related data visualizations as a dashboard.

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.

RMarkdown – Markdown documents make it easy for users to mix text with code of different languages, most commonly R.

Tidyverse – R packages for data science, including ggplot2, dplyr, tidyr, and purrr.

In addition to the RStudio IDE, RStudio PBC and its employees develop, maintain, and promote a number of R packages.

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This function is only available in RStudio Server Pro (fee-based application). Slurm) and container orchestration platforms (e.g. The launcher provides the ability to start processes within various batch processing systems (e.g. The Job Launcher is an adjunct to RStudio Server. In April 2019, RStudio PBC (at the time RStudio, Inc.) released a new product, the RStudio Job Launcher. In April 2018, RStudio PBC (at the time RStudio, Inc.) announced that it will provide operational and infrastructure support to Ursa Labs in support of the Labs focus on building a new data science runtime powered by Apache Arrow.

Version 1.1 was released on 9 October 2017. Version 1.0 was released on 1 November 2016. Work on the RStudio IDE started around December 2010, and the first public beta version (v0.92) was officially announced in February 2011.

JavaScript is also amongst the languages used. The bigger percentage of the code is written in Java. The RStudio IDE is partly written in the C++ programming language and uses the Qt framework for its graphical user interface. RStudio Server and Server Pro run on Debian, Ubuntu, Red Hat Linux, CentOS, openSUSE and SLES.

Prepackaged distributions of RStudio Desktop are available for Windows, macOS, and Linux. OS support depends on the format/edition of the IDE. RStudio Desktop and RStudio Server are both available in free and fee-based (commercial) editions. The AGPL v3 is an open source license that guarantees the freedom to share the code. The RStudio integrated development environment (IDE) is available with the GNU Affero General Public License version 3.