CodeConvert AI - Convert code with a click of a button

How to use this tool?

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

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

Examples

The following are examples of code conversion from R to Racket 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

Example 2 - Even or Odd

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

Racket

Key differences between R and Racket

Characteristic	R	Racket
Syntax	R uses a syntax that is similar to traditional programming languages, with a focus on statistical analysis and data manipulation.	Racket has a unique syntax that is based on Lisp, with a focus on functional programming and metaprogramming.
Paradigm	R is primarily a functional programming language, but it also supports imperative and object-oriented programming paradigms.	Racket is a multi-paradigm programming language that supports functional, imperative, and object-oriented programming.
Typing	R is dynamically typed, which means that variable types are determined at runtime.	Racket is also dynamically typed, allowing for flexible and dynamic programming.
Performance	R is known for its slower performance compared to other programming languages, especially for large-scale computations.	Racket is designed for general-purpose programming and can achieve good performance, especially when using its optimizing compiler.
Libraries and frameworks	R has a wide range of libraries and frameworks for statistical analysis, data manipulation, and visualization.	Racket has a growing ecosystem of libraries and frameworks, with a focus on language-oriented programming and metaprogramming.
Community and support	R has a large and active community of users and developers, with extensive online resources and support.	Racket has a smaller but dedicated community, with active development and support from the Racket team.
Learning curve	R has a moderate learning curve, especially for users with a background in statistics or data analysis.	Racket has a moderate learning curve, especially for users new to functional programming or Lisp-like syntax.

How to use this tool?

Examples

Key differences between R and Racket

Try our ready to use converters using the links below