How to use this tool?

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

  1. Type or paste your Racket 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 Racket 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.

Racket

right arrow

R

Example 2 - Even or Odd

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

Racket

right arrow

R

Key differences between Racket and R

CharacteristicRacketR
SyntaxRacket has a Lisp-like syntax with a strong emphasis on parentheses and prefix notation.R has a C-like syntax with a mix of infix and prefix notation.
ParadigmRacket supports multiple paradigms including functional programming, object-oriented programming, and logic programming.R primarily supports functional programming, but also has some support for object-oriented programming.
TypingRacket is a dynamically typed language.R is a dynamically typed language.
PerformanceRacket is known for its focus on language design and expressiveness rather than performance.R is optimized for statistical computing and data analysis, but may not be as performant for general-purpose tasks.
Libraries and frameworksRacket has a rich ecosystem of libraries and frameworks, with a focus on language-oriented programming.R has a wide range of libraries and frameworks for statistical computing, data analysis, and machine learning.
Community and supportRacket has a smaller but dedicated community with active support from the developers.R has a large and active community with extensive online resources and support.
Learning curveRacket has a moderate learning curve, especially for beginners due to its Lisp-like syntax and emphasis on functional programming.R has a moderate learning curve, especially for beginners due to its statistical computing focus and extensive libraries.