Online Java to R Converter

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Additional Instructions

How to use this tool?

This free online AI code 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 on the "Convert" button.
The converted R code 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 Code:

R Code:

Example 2 - Even or Odd

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

Java Code:

R Code:

Differences

The following are some 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.

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