How to use this tool?
This free online converter lets you convert code from Groovy to R in a click of a button. To use this converter, take the following steps -
- Type or paste your Groovy 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 Groovy 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.
Groovy
R
Example 2 - Even or Odd
A well commented function to check if a number if odd or even.
Groovy
R
Key differences between Groovy and R
Characteristic | Groovy | R |
---|---|---|
Syntax | Groovy has a syntax similar to Java with additional features like closures and dynamic typing. | R has a syntax that is specifically designed for statistical computing and graphics. |
Paradigm | Groovy is a multi-paradigm language that supports both object-oriented and functional programming. | R is primarily a functional programming language with support for object-oriented programming. |
Typing | Groovy is a dynamically typed language. | R is also a dynamically typed language. |
Performance | Groovy is generally slower than Java due to its dynamic nature. | R is not known for its performance and can be slower than other languages. |
Libraries and frameworks | Groovy has access to a wide range of Java libraries and frameworks. | R has a comprehensive collection of libraries and packages for statistical computing and data analysis. |
Community and support | Groovy has an active community and good support. | R has a large and active community with extensive support resources. |
Learning curve | Groovy has a relatively low learning curve, especially for Java developers. | R has a steeper learning curve, especially for those without a background in statistics. |