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Online C to R Converter

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upload iconClick to select or drop your input code file here.

You can also type the input code below.

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 -

  1. Type or paste your C 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 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

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R

Example 2 - Even or Odd

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

C

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R

Key differences between C and R

CharacteristicCR
SyntaxC 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.
ParadigmC is a procedural language with some support for object-oriented programming.R is a functional language with support for object-oriented programming.
TypingC is a statically typed language.R is a dynamically typed language.
PerformanceC 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 frameworksC 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 supportC 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 curveC 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.