### How to use this tool?

This free online converter lets you convert code from Matlab to R in a click of a button. To use this converter, take the following steps -

- Type or paste your Matlab code in the input box.
- Click the convert button.
- The resulting R code from the conversion will be displayed in the output box.

### Examples

The following are examples of code conversion from Matlab to R using this converter. Note that you may not always get the same code since it is generated by an AI language model which is not 100% deterministic and gets updated from time to time.

Example 1 - Is String Palindrome

Program that checks if a string is a palindrome or not.

Matlab

R

Example 2 - Even or Odd

A well commented function to check if a number if odd or even.

Matlab

R

### Key differences between Matlab and R

Characteristic | Matlab | R |
---|---|---|

Syntax | Matlab uses a syntax that is similar to traditional programming languages, with a focus on matrix operations and numerical computations. | R uses a syntax that is focused on statistical analysis and data manipulation, with a wide range of functions and operators for these tasks. |

Paradigm | Matlab is primarily a procedural language, but it also supports object-oriented programming. | R is a functional programming language, but it also supports procedural and object-oriented programming. |

Typing | Matlab is dynamically typed, meaning that variable types are determined at runtime. | R is dynamically typed, meaning that variable types are determined at runtime. |

Performance | Matlab is known for its high performance in numerical computations and matrix operations. | R can be slower than Matlab in numerical computations and matrix operations, but it has many packages that can improve performance. |

Libraries and frameworks | Matlab has a large number of built-in functions and toolboxes for various applications, but it may require additional toolboxes for some tasks. | R has a vast library of packages for various applications, including statistical analysis, data visualization, and machine learning. |

Community and support | Matlab has a large and active community, with many resources available for learning and troubleshooting. | R has a large and active community, with many resources available for learning and troubleshooting. |

Learning curve | Matlab has a relatively steep learning curve, especially for those without a background in programming or numerical analysis. | R has a moderate learning curve, with a focus on statistical analysis and data manipulation. |