Online Ruby to R Converter
Click to select or drop your input code file here.
You can also type the input code below.
How to use this tool?
This free online converter lets you convert code from Ruby to R in a click of a button. To use this converter, take the following steps -
- Type or paste your Ruby 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 Ruby 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.
Ruby
R
Example 2 - Even or Odd
A well commented function to check if a number if odd or even.
Ruby
R
Key differences between Ruby and R
| Characteristic | Ruby | R |
|---|---|---|
| Syntax | Ruby has a more flexible and concise syntax compared to R. | R has a syntax that is more geared towards statistical analysis and data manipulation. |
| Paradigm | Ruby is a multi-paradigm language that supports object-oriented, functional, and imperative programming. | R is primarily a functional programming language with support for object-oriented programming. |
| Typing | Ruby is dynamically typed, meaning that variable types are determined at runtime. | R is also dynamically typed, but it has some support for static typing through packages like Rcpp. |
| Performance | Ruby is generally slower than R due to its interpreted nature and garbage collection. | R is optimized for data analysis and can be faster than Ruby for certain tasks, especially when using optimized libraries like data.table. |
| Libraries and frameworks | Ruby has a large and active community that has developed many popular libraries and frameworks, such as Ruby on Rails. | R has a large collection of packages for data analysis and visualization, such as ggplot2 and dplyr. |
| Community and support | Ruby has a large and supportive community that is active in developing new libraries and frameworks. | R has a large and active community of data analysts and statisticians who contribute to the development of new packages and tools. |
| Learning curve | Ruby has a relatively low learning curve due to its simple and flexible syntax. | R has a steeper learning curve due to its syntax and focus on statistical analysis, but there are many resources available for learning. |
