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Online JavaScript to R Converter

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Additional Instructions

How to use this tool?

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

Type or paste your JavaScript 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 JavaScript 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.

JavaScript Code:

R Code:

Example 2 - Even or Odd

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

JavaScript Code:

R Code:

Differences

The following are some key differences between JavaScript and R.

Characteristic	JavaScript	R
Syntax	JavaScript has C-style syntax, which is similar to other programming languages like C++, Java, and PHP. It uses curly braces to define blocks of code and semicolons to separate statements. JavaScript is a dynamically typed language, which means that variables do not need to be declared with a specific data type.	R has a unique syntax that is different from most other programming languages. It uses a lot of symbols and functions to perform operations. R is also a dynamically typed language, which means that variables do not need to be declared with a specific data type.
Paradigm	JavaScript is a multi-paradigm language that supports both object-oriented and functional programming styles.	R is primarily a functional programming language, but it also supports object-oriented programming.
Typing	JavaScript is a dynamically typed language, which means that variables do not need to be declared with a specific data type.	R is a dynamically typed language, which means that variables do not need to be declared with a specific data type.
Performance	JavaScript is a high-performance language that can be used for both client-side and server-side programming. It is optimized for web development and can handle large amounts of data.	R is not as fast as other programming languages like C++ or Java, but it is optimized for statistical computing and data analysis.
Libraries and frameworks	JavaScript has a vast collection of libraries and frameworks, including React, Angular, Vue, Node.js, and Express.js, which are widely used for web development.	R has a large collection of libraries and packages, including ggplot2, dplyr, and tidyr, which are widely used for statistical computing and data analysis.
Community and support	JavaScript has a large and active community of developers who contribute to open-source projects and provide support through forums and online communities.	R has a large and active community of developers who contribute to open-source projects and provide support through forums and online communities.
Learning curve	JavaScript has a relatively low learning curve, especially for developers who are familiar with other programming languages like C++, Java, or PHP. However, mastering JavaScript can take time due to its complex ecosystem and constantly evolving standards.	R has a steep learning curve, especially for developers who are not familiar with statistical computing and data analysis. However, R has a large community of developers who provide support and resources for learning.

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