Software Alternatives, Accelerators & Startups
Register | Login

R Lang VS MATLAB

Compare R Lang VS MATLAB and see what are their differences

Electe
Discover Electe, our data analytics platform dedicated to SMEs. Don't let your data go unused, take your business into the future! featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

R Lang logo R Lang

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

MATLAB logo MATLAB

A high-level language and interactive environment for numerical computation, visualization, and programming
  • R Lang Landing page
    Landing page //
    2019-10-24
  • MATLAB Landing page
    Landing page //
    2022-10-30

We recommend LibHunt MATLAB for discovery and comparisons of trending MATLAB projects.

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.

MATLAB features and specs

  • Versatility
    MATLAB is versatile and can be used across a wide range of applications, including engineering, data analysis, robotics, and image processing.
  • Built-in Functions
    MATLAB comes with a vast library of built-in functions and toolboxes that simplify complex mathematical computations and data visualization tasks.
  • User-Friendly Interface
    The software offers an intuitive and user-friendly graphical interface that makes it accessible even for those who are not experts in programming.
  • Excellent Visualization
    MATLAB provides high-quality, customizable plots and graphs that facilitate the clear and effective presentation of data.
  • Strong Community and Support
    Users can benefit from extensive documentation, community forums, and customer support from MathWorks, which aids in troubleshooting and learning.
  • Integration Capabilities
    MATLAB integrates well with other programming languages like C, C++, and Java, and supports interfaces to SQL databases.

Possible disadvantages of MATLAB

  • Cost
    MATLAB is expensive to license, making it less accessible for small businesses, individual professionals, and students without institutional access.
  • Memory Usage
    MATLAB can be very memory-intensive, which could be a limitation when dealing with large datasets or running on devices with limited computational resources.
  • Speed
    Although MATLAB is efficient for rapid prototyping, it is generally slower in execution speed compared to compiled languages like C or Fortran, particularly for heavy computations.
  • Proprietary Nature
    Being a proprietary software, MATLAB does not offer the same level of transparency and flexibility that open-source alternatives provide.
  • Learning Curve
    For some new users, especially those who have no prior experience with numerical computing environments, it might have a steep learning curve.
  • Limited Cross-Platform Compatibility
    While MATLAB supports multiple operating systems, not all features and toolboxes are available on each platform, potentially limiting its utility in diverse environments.

Analysis of R Lang

Overall verdict

  • Yes, R is a good choice, especially for those who need to perform complex statistical analyses and create high-quality visualizations. Its extensive ecosystem of packages and support for a variety of data formats make it a versatile tool in data science.

Why this product is good

  • R is highly regarded for its capabilities in statistical analysis and data visualization. It is an open-source programming language that offers a vast array of packages and libraries designed for data analysis, making it a powerful tool for statisticians and data scientists. Its community is active and continuously contributes to its development, ensuring that it stays updated with the latest methods in data analysis.

Recommended for

  • Statisticians who need robust tools for performing detailed data analysis.
  • Data scientists looking for comprehensive libraries for data manipulation and visualization.
  • Researchers who need to perform statistical tests and model implementation.
  • Academics and educators who teach statistics and data analysis.

Analysis of MATLAB

Overall verdict

  • Yes, MATLAB is considered a good tool by many professionals and academics, especially in fields that require numerical computation and data analysis.

Why this product is good

  • MATLAB offers a vast collection of built-in functions and toolboxes for various applications like signal processing, image processing, machine learning, and more.
  • The environment is user-friendly and has excellent documentation, making it easier for beginners to learn.
  • It provides robust support for matrix operations, which is beneficial for linear algebra tasks and scientific computations.
  • MATLAB integrates well with languages like C/C++, Python, and Java, allowing for flexible development options.

Recommended for

  • Engineers and scientists performing complex mathematical calculations and simulations.
  • Students and educators in academic settings who require a reliable tool for teaching and learning mathematical concepts.
  • Researchers and data analysts looking to rapidly prototype algorithms and visualize data.
  • Professionals dealing with industries like aerospace, automotive, communications, and finance where rigorous data analysis is required.

R Lang videos

No R Lang videos yet. You could help us improve this page by suggesting one.

Add video

MATLAB videos

+ Add

Matlab Review Part 1

More videos:

  • Review - The Complete MATLAB Course: Beginner to Advanced!
  • Tutorial - Complete MATLAB Tutorial for Beginners

Category Popularity

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

R Lang

MATLAB

Technical Computing
12 12%
Technical Computing
88% 88
Numerical Computation
7 7%
Numerical Computation
93% 93
Business & Commerce
100 100%
Business & Commerce
0% 0
Data Visualization
0 0%
Data Visualization
100% 100

User comments

Share your experience with using R Lang and MATLAB. For example, how are they different and which one is better?
Log in or Post with

Reviews

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

R Lang Reviews

We have no reviews of R Lang yet.
Be the first one to post

MATLAB Reviews

25 Best Statistical Analysis Software
MATLAB is an exceptional choice for individuals seeking to perform advanced statistical analysis and data visualization. Its high-level programming environment and comprehensive range of tools enable users to efficiently process, analyze, and visualize their data.
Source: www.scijournal.org
7 Best MATLAB alternatives for Linux
MATLAB is a programming language and numeric computing environment. It is used for solving mathematical problems and displaying the result graphically. MATLAB is a paid tool, they provide a free trial for one month.
Source: cyanogenmods.org
15 data science tools to consider using in 2021
Developed and sold by software vendor MathWorks since 1984, Matlab is a high-level programming language and analytics environment for numerical computing, mathematical modeling and data visualization. It's primarily used by conventional engineers and scientists to analyze data, design algorithms and develop embedded systems for wireless communications, industrial control,...
Source: searchbusinessanalytics.techtarget.com
The 16 Best Data Science and Machine Learning Platforms for 2021
Description: MathWorks MATLAB combines a desktop environment tuned for iterative analysis and design processes with a programming language that expresses matrix and array mathematics directly. It includes the Live Editor for creating scripts that combine code, output, and formatted text in an executable notebook. MATLAB toolboxes are professionally developed, tested, and...
Source: solutionsreview.com
Matlab Alternatives
Matrix Laboratory also known as MATLAB is a high-level programming language. It provides an interactive environment to perform computations in various fields such as mathematics, sciences and engineering streams. The results can be visualized and generated as reports for further analysis. Matlab is the pioneer in combining these things. A team of professionals develop the...
Source: www.educba.com

Social recommendations and mentions

Based on our record, R Lang seems to be more popular. It has been mentiond 5 times since March 2021. 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: almost 3 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 / about 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 / about 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: about 3 years ago

MATLAB mentions (0)

We have not tracked any mentions of MATLAB yet. Tracking of MATLAB recommendations started around Mar 2021.

What are some alternatives?

When comparing R Lang and MATLAB, 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

Wolfram Mathematica - Mathematica has characterized the cutting edge in specialized processing—and gave the chief calculation environment to a large number of pioneers, instructors, understudies, and others around the globe.

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

GNU Octave - GNU Octave is a programming language for scientific computing.

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

Scilab - Scilab Official Website. Enter your search in the box aboveAbout ScilabScilab is free and open source software for numerical . Thanks for downloading Scilab!

Loading...