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Online C to R Converter

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Additional Instructions

How to use this tool?

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

Type or paste your C 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 C 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.

C Code:

R Code:

Example 2 - Even or Odd

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

C Code:

R Code:

Differences

The following are some key differences between C and R.

Characteristic	C	R
Syntax	C uses a procedural syntax with a focus on low-level memory manipulation.	R uses a functional syntax with a focus on data manipulation and analysis.
Paradigm	C is a procedural language with some support for object-oriented programming.	R is a functional language with support for object-oriented programming.
Typing	C is a statically typed language.	R is a dynamically typed language.
Performance	C is a compiled language that is known for its high performance and low-level memory manipulation capabilities.	R is an interpreted language that is optimized for data analysis and manipulation, but may not be as performant as C for other tasks.
Libraries and frameworks	C has a wide range of libraries and frameworks available, but they may not be as extensive as those available for other languages.	R has a large number of libraries and frameworks available for data analysis and manipulation, making it a popular choice for these tasks.
Community and support	C has a large and active community, with many resources available for learning and troubleshooting.	R has a large and active community focused on data analysis and manipulation, with many resources available for these tasks.
Learning curve	C has a steep learning curve due to its low-level nature and focus on memory manipulation.	R has a moderate learning curve, with a focus on data analysis and manipulation that may be easier for those with a background in statistics.

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