Online Pascal 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 Pascal to R in a click of a button. To use this converter, take the following steps -

Type or paste your Pascal 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 Pascal 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.

Pascal Code:

R Code:

Example 2 - Even or Odd

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

Pascal Code:

R Code:

Differences

The following are some key differences between Pascal and R.

Characteristic	Pascal	R
Syntax	Pascal has a structured syntax with a strong emphasis on readability and clarity.	R has a syntax that is primarily focused on statistical analysis and data manipulation.
Paradigm	Pascal is primarily an imperative and procedural programming language.	R is a multi-paradigm language that supports procedural, functional, and object-oriented programming.
Typing	Pascal is a statically typed language, meaning that variable types are checked at compile-time.	R is a dynamically typed language, meaning that variable types are checked at runtime.
Performance	Pascal is known for its efficient performance and is often used in systems programming.	R is not known for its performance and is primarily used for statistical analysis and data manipulation.
Libraries and frameworks	Pascal has a limited number of libraries and frameworks compared to other languages.	R has a wide range of libraries and frameworks specifically designed for statistical analysis and data manipulation.
Community and support	Pascal has a smaller community and less support compared to more popular languages.	R has a large and active community with extensive support for statistical analysis and data science.
Learning curve	Pascal has a relatively low learning curve and is considered beginner-friendly.	R has a steeper learning curve, especially for those without a background in statistics or data analysis.

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