CodeConvert AI - Convert code with a click of a button

How to use this tool?

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

Type or paste your Java 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 Java 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.

Java

Example 2 - Even or Odd

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

Java

Key differences between Java and R

Characteristic	Java	R
Syntax	Java has a C-style syntax, which is similar to C++ and C#. It uses semicolons to end statements and curly braces to define code blocks.	R has a unique syntax that is different from most programming languages. It uses a lot of symbols and operators to perform operations on data.
Paradigm	Java is an object-oriented programming language that supports imperative, procedural, and functional programming paradigms.	R is a functional programming language that supports imperative and object-oriented programming paradigms.
Typing	Java is a statically typed language, which means that the data type of a variable is determined at compile time.	R is a dynamically typed language, which means that the data type of a variable is determined at runtime.
Performance	Java is known for its high performance and scalability. It is often used for building large-scale enterprise applications.	R is not known for its performance and is often slower than other programming languages. It is primarily used for data analysis and statistical computing.
Libraries and frameworks	Java has a vast collection of libraries and frameworks that can be used for building various types of applications, including Spring, Hibernate, and Struts.	R has a large collection of libraries and packages that can be used for data analysis and statistical computing, including ggplot2, dplyr, and tidyr.
Community and support	Java has a large and active community of developers and users, and there are many resources available for learning and getting help with Java.	R has a smaller community than Java, but it is still active and growing. There are many resources available for learning and getting help with R.
Learning curve	Java has a steep learning curve, especially for beginners who are new to programming. However, once you learn the basics, it becomes easier to use.	R has a moderate learning curve, especially for those who are new to programming. It can take some time to learn the syntax and how to use the various libraries and packages.

How to use this tool?

Examples

Key differences between Java and R

Try our ready to use converters using the links below