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Statistical programming languages: Mathlab VS. R
Mathlab is a proprietary software that is used for mathematical and scientific computing. It is developed by MathWorks and is widely used in academia and industry.
R is an open-source programming language that is commonly used for statistical computing and data analysis.
Both Mathlab and R are powerful tools, but they have different strengths and weaknesses.
In general, Mathlab is more user-friendly than R, but R has more flexibility when it comes to customizing code.
What is R?
R is a programming language and software environment for statistical computing and graphics. R is free and open-source software released under the GNU General Public License. It is used by statisticians and data miners for developing statistical software and data analysis.
The R-project website provides extensive documentation for the R language and environment, including tutorials and guides. The CRAN repository contains more than 12000 packages for statistical analysis, data mining, machine learning, etc.
Mathlab vs R: differences and similarities
- R is a programming language specifically designed for statistical…
