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Online R to Racket Converter

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Additional Instructions

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 on the "Convert" button.
The converted Racket code 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.

R Code:

Racket Code:

Example 2 - Even or Odd

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

R Code:

Racket Code:

Differences

The following are some 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.

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