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R Lang VS RStudio

Compare R Lang VS RStudio and see what are their differences

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R Lang logo R Lang

R is a free software environment for statistical computing and graphics.

RStudio logo RStudio

RStudio™ is a new integrated development environment (IDE) for R.
  • R Lang Landing page
    Landing page //
    2019-10-24
  • RStudio Landing page
    Landing page //
    2023-06-19

R Lang features and specs

  • Comprehensive Statistical Analysis
    R is specifically designed for statistical analysis and data visualization. It offers a wide array of statistical tests, models, and other quantitative techniques.
  • Extensive Package Ecosystem
    The Comprehensive R Archive Network (CRAN) hosts thousands of packages, making it easy to extend the language’s capabilities with specialized tools and libraries.
  • Data Visualization
    R excels at producing high-quality plots and charts through packages like ggplot2 and lattice, providing powerful tools for data visualization.
  • Strong Community Support
    R has a large and active user community that contributes to forums, documentation, and packages, facilitating easier troubleshooting and knowledge sharing.
  • Open Source
    R is open-source, meaning it is free to use and has a high level of transparency. Users can inspect, modify, and enhance the source code.

Possible disadvantages of R Lang

  • Memory Consumption
    R can consume a significant amount of memory, particularly with large datasets, which can lead to performance issues.
  • Learning Curve
    R has a steep learning curve for beginners, especially for those without a strong background in statistics or programming.
  • Speed
    R is interpreted and can be slower than compiled languages like C++ or Java, especially for computationally-intensive tasks.
  • Less Optimal for General-Purpose Programming
    Although R excels at statistical computing, it is less suited for general-purpose programming tasks compared to languages like Python or Java.
  • Inconsistent Function Names and Syntax
    Because R's packages are often developed independently, there can be inconsistencies in function names and syntax, making it harder for users to seamlessly work across different packages.

RStudio features and specs

  • User-Friendly Interface
    RStudio offers a highly intuitive graphical user interface that makes it easier for both beginners and experienced users to write, debug, and execute R code.
  • Integrated Development Environment
    RStudio is a comprehensive Integrated Development Environment (IDE) for R that includes a console, syntax-highlighting editor, and tools for plotting, history, debugging, and workspace management.
  • Extensive Support for Packages
    RStudio provides seamless integration with CRAN, Bioconductor, and GitHub, making it easy to install and manage a wide array of R packages for various types of analyses.
  • RMarkdown Support
    RStudio supports RMarkdown, allowing users to create dynamic documents, reports, presentations, and dashboards that include R code and outputs.
  • Cross-Platform Compatibility
    RStudio is compatible with multiple operating systems, including Windows, MacOS, and Linux, allowing users to work in their preferred environment.
  • Community and Support
    RStudio has a strong user community and extensive online resources, including forums, tutorials, and documentation, providing ample support for users.
  • Version Control Integration
    RStudio integrates with version control systems like Git, enabling users to manage their code revisions and collaborate more effectively on projects.

Possible disadvantages of RStudio

  • Resource Intensive
    RStudio can be resource-intensive, particularly for large projects or extensive data analyses, potentially slowing down performance on less powerful machines.
  • Limited Support for Non-R Languages
    While RStudio is excellent for R programming, its support for other programming languages like Python is not as robust, which may limit its utility for polyglot projects.
  • Learning Curve
    Despite its user-friendly interface, RStudio can have a steep learning curve for complete beginners who are not yet familiar with R or programming in general.
  • Occasional Crashes
    Users have reported occasional instability and crashes, especially when handling very large datasets or running complex scripts.
  • Professional Licensing Costs
    While the open-source version of RStudio is free, the Professional or Server editions come with licensing costs, which can be a barrier for small organizations or individual users.

R Lang videos

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RStudio videos

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Getting Started with R & RStudio - Introduction and Review of Basic Concepts for Beginners

More videos:

  • Review - Getting started with R and RStudio
  • Tutorial - RStudio Tutorial For Beginners | RStudio Installation | R Tutorial | R Training | Edureka

Category Popularity

0-100% (relative to R Lang and RStudio)

R Lang

RStudio

Technical Computing
32 32%
Technical Computing
68% 68
Business & Commerce
100 100%
Business & Commerce
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100
Numerical Computation
100 100%
Numerical Computation
0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare R Lang and RStudio

R Lang Reviews

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RStudio Reviews

25 Best Statistical Analysis Software
Comprehensive data visualization tools: RStudio supports a wide range of data visualization packages, enabling users to create stunning and informative graphics.
Source: www.scijournal.org
Top 10 Free Paid Photo Recovery Softwares in 2022
R-Studio is an excellent recovery software that is commonly used to recover files deleted by viruses and malware. The best thing about this tool is that the files are restored to their original versions before they are destroyed, which is a lifesaver for many people. If this photo has been destroyed and no longer works for perfect photos. For deleted and damaged photos,...
Source: www.geekersoft.com

Social recommendations and mentions

RStudio might be a bit more popular than R Lang. We know about 5 links to it since March 2021 and only 5 links to R Lang. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

R Lang mentions (5)

  • How to generate a great website and reference manual for your R package
    Generating a website for your R package is always a great idea. If the package is based on some paper, it will help it get noticed and eventually used. And once you have a website, it's just as well to include a reference manual for the package in it, that complements or is a bit more updated than the one published in CRAN. Or simply in another format. - Source: dev.to / about 1 year ago
  • R
    This package is definitely related to R language) (see package URL, it points to r-project.org subdomain). Source: over 2 years ago
  • Rr
    Common misconception. Actually it's a Fibonacci sequence, so the next one is https://rrrrr-project.org. This does also mean that there's https://-project.org, and that https://r-project.org secretly disambiguates into two different projects. - Source: Hacker News / almost 3 years ago
  • Rr
    We already have https://r-project.org. Now we have https://rr-project.org. So, https://rrr-project.org is next? - Source: Hacker News / almost 3 years ago
  • r-project.org is down?
    Thank you, but unfortunately, the archive I'm talking about is the archive of old package versions, which seems to only be available through r-project.org. Source: almost 3 years ago

RStudio mentions (5)

  • Basic Data Visualisation Using ggplot2
    First, you will need to have R and RStudio installed on your computer. If you don't have these already, you can download them from the official website RStudio. - Source: dev.to / over 2 years ago
  • Thoughts on Posit / Quarto / Distill
    For now I'm still referencing https://yihui.org/knitr/, but just yesterday I wasn't sure which term to use to search for knitr options. I ended up landing on Yihui's site but also looking at Distill documentation on rstudio.com (not posit.co, because obviously they didn't get posit.com) in another tab. Will the the clever knitting references become deprecated as the product is rethemed with distilling references... Source: over 2 years ago
  • Ask HN: Who is hiring? (October 2021)
    RStudio | Multiple Roles | Remote | Full-time | https://rstudio.com RStudio is a Public Benefit Corporation that makes software for data scientists. Our core offering is an open source data science toolchain, and we aim to make it available to everyone, regardless of their economic means. We've also been fully remote for many years. I have the first role below open for Go development, but there are plenty of... - Source: Hacker News / over 3 years ago
  • You call it I code it - tell me how your ideal crypto trading bot would work and I may code it and share with the community
    # A Sample Bot for Ethereum written in R programming language # (www.r-project.org). Code can be deployed in Rstudio (https://rstudio.com/) #________ # Purpose: check the current ETH-USD price and if it's within a set range, buy # or sell accordingly #________ # Set Variables---- Target.eth.price.usd <- 1800 #Set target ETH price in USD Target.usd.plus_minus <- 5 #Sets a range of $ETH +/- (i.e.... Source: about 4 years ago
  • [OC] I stopped smoking in September 2020 and started doing push ups
    I tracked my push ups via the KeepTrack App for Android and made the visualization with RStudio, here is the code I wrote for the data. Source: about 4 years ago

What are some alternatives?

When comparing R Lang and RStudio, you can also consider the following products

C++ - Has imperative, object-oriented and generic programming features, while also providing the facilities for low level memory manipulation

Sublime Text - Sublime Text is a sophisticated text editor for code, html and prose - any kind of text file. You'll love the slick user interface and extraordinary features. Fully customizable with macros, and syntax highlighting for most major languages.

Go Programming Language - Go, also called golang, is a programming language initially developed at Google in 2007 by Robert...

Microsoft Visual Studio - Microsoft Visual Studio is an integrated development environment (IDE) from Microsoft.

D (Programming Language) - D is a language with C-like syntax and static typing.

Android Studio - Android development environment based on IntelliJ IDEA

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