How to use this tool?

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

  1. Type or paste your Crystal 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 Crystal 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.

Crystal

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R

Example 2 - Even or Odd

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

Crystal

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R

Key differences between Crystal and R

CharacteristicCrystalR
SyntaxCrystal has a syntax similar to Ruby, with some additional features like static typing.R has a syntax that is specifically designed for statistical computing and graphics.
ParadigmCrystal is a statically-typed, object-oriented language with some functional programming features.R is a dynamically-typed, functional programming language.
TypingCrystal has static typing, which means that variable types are checked at compile-time.R has dynamic typing, which means that variable types are checked at runtime.
PerformanceCrystal is known for its high performance, as it compiles to native code.R is not known for its performance, as it is an interpreted language.
Libraries and frameworksCrystal has a growing ecosystem of libraries and frameworks, although it may not have as many options as more established languages.R has a wide range of libraries and frameworks specifically designed for statistical computing and data analysis.
Community and supportCrystal has a smaller community compared to more popular languages, but it is growing and has active support.R has a large and active community with extensive support and resources available.
Learning curveCrystal has a relatively low learning curve, especially for developers familiar with Ruby.R has a moderate learning curve, especially for developers new to statistical programming.