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 -
- Type or paste your Racket code in the input box.
- Click the convert button.
- 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
R
Example 2 - Even or Odd
A well commented function to check if a number if odd or even.
Racket
R
Key differences between Racket and R
Characteristic | Racket | R |
---|---|---|
Syntax | Racket 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. |
Paradigm | Racket 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. |
Typing | Racket is a dynamically typed language. | R is a dynamically typed language. |
Performance | Racket 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 frameworks | Racket 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 support | Racket 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 curve | Racket 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. |