CodeConvert AI - Convert code with a click of a button

How to use this tool?

This free online converter lets you convert code from R to Java in a click of a button. To use this converter, take the following steps -

Type or paste your R code in the input box.
Click the convert button.
The resulting Java code from the conversion will be displayed in the output box.

Examples

The following are examples of code conversion from R to Java 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.

Java

Example 2 - Even or Odd

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

Java

Key differences between R and Java

Characteristic	R	Java
Syntax	R has a syntax that is similar to the S programming language, with a focus on data analysis and statistical computing.	Java has a syntax that is similar to C++, with a focus on object-oriented programming and general-purpose computing.
Paradigm	R is a functional programming language that is designed for data analysis and statistical computing.	Java is an object-oriented programming language that is designed for general-purpose computing.
Typing	R is dynamically typed, meaning that variable types are determined at runtime.	Java is statically typed, meaning that variable types are determined at compile time.
Performance	R is generally slower than Java due to its focus on data analysis and statistical computing.	Java is generally faster than R due to its focus on general-purpose computing and optimization for performance.
Libraries and frameworks	R has a large number of libraries and frameworks for data analysis and statistical computing, including ggplot2, dplyr, and tidyr.	Java has a large number of libraries and frameworks for general-purpose computing, including Spring, Hibernate, and Apache Struts.
Community and support	R has a large and active community of data analysts and statisticians, with many online resources and forums for support.	Java has a large and active community of developers, with many online resources and forums for support.
Learning curve	R has a steep learning curve for beginners due to its focus on data analysis and statistical computing, and its use of specialized syntax and terminology.	Java has a moderate learning curve for beginners, with a focus on object-oriented programming concepts and syntax.

How to use this tool?

Examples

Key differences between R and Java

Try our ready to use converters using the links below