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Online R to TypeScript Converter

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Additional Instructions

How to use this tool?

This free online converter lets you convert code from R to TypeScript 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 on the "Convert" button.
The converted TypeScript code will be displayed in the output box.

Examples

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

R Code:

TypeScript Code:

Example 2 - Even or Odd

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

R Code:

TypeScript Code:

Differences

The following are some key differences between R and TypeScript.

Characteristic	R	TypeScript
Syntax	R has a syntax that is similar to the English language, making it easy to learn and read.	TypeScript has a syntax that is similar to JavaScript, making it easy for developers who are familiar with JavaScript to learn.
Paradigm	R is primarily a functional programming language, but it also supports object-oriented programming.	TypeScript is an object-oriented programming language that supports functional programming.
Typing	R is dynamically typed, meaning that variable types are determined at runtime.	TypeScript is statically typed, meaning that variable types are determined at compile time.
Performance	R is not known for its performance, especially when dealing with large datasets.	TypeScript is generally faster than JavaScript due to its static typing and other features that help optimize code.
Libraries and frameworks	R has a large number of libraries and frameworks for data analysis and visualization, such as ggplot2 and dplyr.	TypeScript has a large number of libraries and frameworks for web development, such as Angular and React.
Community and support	R has a large and active community of data scientists and statisticians, with many resources available for learning and support.	TypeScript has a growing community of developers, with support from Microsoft and other companies.
Learning curve	R has a steep learning curve, especially for those without a background in statistics or data analysis.	TypeScript has a moderate learning curve, especially for developers who are already familiar with JavaScript.

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