Differences Between R Studio For Windows And

CategoryDescriptionOpen Source EditionProfessional Edition
OverviewAccess the RStudio IDE from anywhere via a web browser
Move computation close to the data
Scale compute and RAM centrally
Powerful coding tools to enhance your productivity
Easily publish apps and reports
Python DevelopmentView Python data, publish and knit in Python and share objects with R
Author and edit Python code with Jupyter Notebooks, JupyterLab and VSCode
Easily publish and share Jupyter Notebooks
Project SharingShare projects & edit code files simultaneously with others
Multiple R VersionsRun multiple versions of R side-by-side
Define environments for a particular R version
Multiple R and Python SessionsRun multiple analyses in parallel
Load BalancingLoad balance R sessions across two or more servers
Ensure high availability using multiple masters
Administrative DashboardMonitor active sessions and their CPU and memory utilization
Suspend, forcibly terminate, or assume control of any active session
Review historical usage and server logs
Enhanced SecurityLDAP, Active Directory, Google Accounts and system accounts
Full support for Pluggable Authentication Modules, Kerberos via PAM, and custom authentication via proxied HTTP header
Encrypt traffic using SSL and restrict client IP addresses
Auditing and MonitoringMonitor server resources (CPU, memory, etc.) on both a per-user and system-wide basis
Send metrics to external systems with the Graphite/Carbon plaintext protocol
Health check with configurable output (custom XML, JSON)
Audit all R console activity by writing input and output to a central location
Advanced R Session ManagementTailor the version of R, reserve CPU, prioritize scheduling and limit resources by User and Group
Provision accounts and mount home directories dynamically via the PAM Session API
Automatically execute per-user profile scripts for database and cluster connectivity
Data ConnectivityRStudio Professional Drivers are ODBC data connectors that help you connect to some of the most popular databases
LauncherStart processes within various systems such as container orchestration platforms
Submit standalone ad hoc jobs to your compute cluster(s) to run computationally expensive R or Python scripts
Tutorial APIAutomate interactions with the RStudio IDE
Remote SessionsConnect to RStudio Workbench directly from RStudio Desktop Pro for more powerful computing resources, freeing up your local system
  1. R Is A Programming Language And Free Software Environment For Statistical Computing And Graphics. But R Software Comes With Interpreter Only. RStud...
  2. Difference Between R-Studio For Windows And Linux : Datarecovery
R AND RSTUDIO - Statistics
  1. RStudio Desktop is an R IDE that works with the version of R you have installed on your local Windows, Mac OS X, or Linux workstation. RStudio Desktop is a standalone desktop application that in no way requires RStudio Workbench or RStudio Server.
  2. The operators and = assign into the environment in which they are evaluated.

R Is A Programming Language And Free Software Environment For Statistical Computing And Graphics. But R Software Comes With Interpreter Only. RStud...

What is the difference between an editor and console Windows ...Interpreter

Difference Between R-Studio For Windows And Linux : Datarecovery

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