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Online Haskell to R Converter

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Additional Instructions

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 on the "Convert" button.
The converted R code 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 Code:

R Code:

Example 2 - Even or Odd

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

Haskell Code:

R Code:

Differences

The following are some 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.

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