How to use this tool?

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

  1. Type or paste your Elm 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.

Examples

The following are examples of code conversion from Elm 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.

Elm

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R

Example 2 - Even or Odd

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

Elm

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R

Key differences between Elm and R

CharacteristicElmR
SyntaxElm has a syntax similar to Haskell, with a strong emphasis on functional programming.R has a syntax that is primarily focused on statistical analysis and data manipulation.
ParadigmElm is a purely functional programming language.R is a multi-paradigm language, supporting both functional and object-oriented programming.
TypingElm has a strong static type system that helps catch errors at compile-time.R has a dynamic type system, allowing for more flexibility but potentially leading to runtime errors.
PerformanceElm is designed for high-performance web applications, with a focus on minimizing runtime errors.R is optimized for data analysis and statistical computing, but may not perform as well for other tasks.
Libraries and frameworksElm has a smaller ecosystem of libraries and frameworks compared to R.R has a large and active community, resulting in a wide range of libraries and frameworks available.
Community and supportElm has a smaller community compared to R, but it is known for being friendly and helpful.R has a large and active community, with extensive online resources and support available.
Learning curveElm has a relatively steep learning curve, especially for developers new to functional programming.R has a moderate learning curve, with a focus on statistical analysis and data manipulation.