How to use this tool?
This free online converter lets you convert code from CoffeeScript to R in a click of a button. To use this converter, take the following steps -
- Type or paste your CoffeeScript 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 CoffeeScript 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.
CoffeeScript
R
Example 2 - Even or Odd
A well commented function to check if a number if odd or even.
CoffeeScript
R
Key differences between CoffeeScript and R
Characteristic | CoffeeScript | R |
---|---|---|
Syntax | CoffeeScript has a more concise and expressive syntax compared to R. | R has a syntax that is more focused on statistical analysis and data manipulation. |
Paradigm | CoffeeScript is a transcompiled language that compiles into JavaScript, which is primarily used for front-end web development. | R is a programming language specifically designed for statistical computing and graphics. |
Typing | CoffeeScript is dynamically typed, meaning that variable types are determined at runtime. | R is dynamically typed, allowing for flexible and dynamic data manipulation. |
Performance | CoffeeScript's performance is dependent on the generated JavaScript code, which can be optimized for performance. | R's performance can be slower compared to other languages due to its focus on data analysis and manipulation. |
Libraries and frameworks | CoffeeScript has access to a wide range of JavaScript libraries and frameworks, which provides extensive functionality for web development. | R has a rich ecosystem of packages and libraries specifically designed for statistical analysis and data manipulation. |
Community and support | CoffeeScript has a smaller community compared to R, but still has active support and resources available. | R has a large and active community with extensive support and resources available. |
Learning curve | CoffeeScript has a relatively low learning curve, especially for developers already familiar with JavaScript. | R has a moderate learning curve, especially for those new to statistical programming and data analysis. |