Julia to R Converter

Online Julia to R Converter

upload icon 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 Julia to R in a click of a button. To use this converter, take the following steps -

Type or paste your Julia 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 Julia 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.

Julia

Example 2 - Even or Odd

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

Julia

Key differences between Julia and R

Characteristic	Julia	R
Syntax	Julia has a syntax that is similar to MATLAB and Python, making it easy to learn for those familiar with these languages.	R has a syntax that is unique and can be difficult to learn for those not familiar with it. However, it is designed specifically for statistical analysis and data visualization.
Paradigm	Julia is a multi-paradigm language that supports functional, imperative, and object-oriented programming.	R is primarily a functional programming language, but it also supports object-oriented programming.
Typing	Julia is a dynamically typed language, which means that variable types are determined at runtime.	R is also a dynamically typed language.
Performance	Julia is designed for high performance computing and can be as fast as C or Fortran.	R is not designed for high performance computing and can be slow for large datasets or complex computations.
Libraries and frameworks	Julia has a growing number of libraries and frameworks for scientific computing, machine learning, and data analysis.	R has a large number of libraries and frameworks for statistical analysis and data visualization.
Community and support	Julia has a growing community and is supported by the Julia Computing organization.	R has a large and active community with many resources and support available.
Learning curve	Julia has a moderate learning curve, but is easy to learn for those familiar with MATLAB or Python.	R has a steep learning curve due to its unique syntax and functional programming paradigm.

Online Julia to R Converter

How to use this tool?

Examples

Key differences between Julia and R

Try our ready to use converters using the links below