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 -

  1. Type or paste your Haskell code in the input box.
  2. Click the convert button.
  3. The resulting R code from the conversion will be displayed in the output box.

Key differences between Haskell and R

CharacteristicHaskellR
SyntaxHaskell 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.
ParadigmHaskell 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.
TypingHaskell 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.
PerformanceHaskell 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 frameworksHaskell 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 supportHaskell 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 curveHaskell 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.