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 -

  1. Type or paste your Perl code in the input box.
  2. Click the convert button.
  3. The resulting R code from the conversion 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

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R

Example 2 - Even or Odd

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

Perl

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R

Key differences between Perl and R

CharacteristicPerlR
SyntaxPerl 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.
ParadigmPerl 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.
TypingPerl is a dynamically typed language.R is a dynamically typed language.
PerformancePerl 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 frameworksPerl 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 supportPerl 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 curvePerl 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.