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Online Perl to R Converter

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Additional Instructions

How to use this tool?

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

Type or paste your Perl 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 Perl 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.

Perl Code:

R Code:

Example 2 - Even or Odd

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

Perl Code:

R Code:

Differences

The following are some key differences between Perl and R.

Characteristic	Perl	R
Syntax	Perl has a syntax that is similar to C and Unix shell scripting languages.	R has a syntax that is similar to S and is designed for data analysis and statistics.
Paradigm	Perl is a multi-paradigm language that supports procedural, object-oriented, and functional programming.	R is a functional programming language that is designed for data analysis and statistics.
Typing	Perl is a dynamically typed language.	R is a dynamically typed language.
Performance	Perl is known for its fast text processing capabilities.	R is not known for its performance, but it has many libraries that are optimized for performance.
Libraries and frameworks	Perl has a large number of libraries and frameworks for various purposes, including web development, networking, and text processing.	R has a large number of libraries and frameworks for data analysis, statistics, and machine learning.
Community and support	Perl has a large and active community with many resources and support available.	R has a large and active community with many resources and support available.
Learning curve	Perl has a steep learning curve due to its complex syntax and many features.	R has a moderate learning curve, but it can be challenging for those without a background in statistics or data analysis.

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