### How to use this tool?

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

- Type or paste your Haskell 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 Haskell 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.

Haskell

R

Example 2 - Even or Odd

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

Haskell

R

### Key differences between Haskell and R

Characteristic | Haskell | R |
---|---|---|

Syntax | Haskell has a unique syntax that is based on mathematical notation and is known for its strong type system and pattern matching capabilities. | R has a syntax that is primarily focused on data analysis and statistical computing, with a large number of built-in functions and operators for manipulating data. |

Paradigm | Haskell is a purely functional programming language, which means that it emphasizes immutability and avoids side effects. | R is a multi-paradigm language that supports both functional and object-oriented programming styles, but it is primarily used for data analysis and statistical computing. |

Typing | Haskell has a strong static type system that enforces type safety and allows for type inference. | R has a dynamic type system that allows for flexible and expressive programming, but it can lead to potential type errors. |

Performance | Haskell is known for its high performance due to its lazy evaluation and efficient runtime system. | R is not known for its performance as it is primarily designed for data analysis and statistical computing rather than computational efficiency. |

Libraries and frameworks | Haskell has a growing ecosystem of libraries and frameworks, particularly for web development and data processing. | R has a vast collection of libraries and packages specifically designed for data analysis, statistics, and machine learning. |

Community and support | Haskell has a smaller but dedicated community with active support from the Haskell community and various online resources. | R has a large and active community with extensive support from the R community, including online forums, tutorials, and documentation. |

Learning curve | Haskell has a steep learning curve due to its unique syntax and strong type system, but it can lead to writing more robust and maintainable code. | R has a relatively low learning curve, especially for those with a background in data analysis and statistics, but it may require additional effort to master advanced concepts and programming techniques. |