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

  1. Type or paste your Swift 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 Swift 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.

Swift

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R

Example 2 - Even or Odd

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

Swift

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R

Key differences between Swift and R

CharacteristicSwiftR
SyntaxSwift has a syntax similar to other C-based languages, making it easy for developers familiar with languages like C++, Objective-C, and Java to learn.R has a syntax that is specifically designed for statistical computing and graphics. It has a unique syntax that may take some time for developers to get used to.
ParadigmSwift is a multi-paradigm language that supports both object-oriented programming and functional programming.R is primarily a functional programming language, but it also supports procedural and object-oriented programming.
TypingSwift is a statically-typed language, which means that variable types are checked at compile-time.R is a dynamically-typed language, which means that variable types are checked at runtime.
PerformanceSwift is known for its high performance and efficiency, making it suitable for building performance-critical applications.R is not as performant as languages like Swift, especially when dealing with large datasets or complex computations.
Libraries and frameworksSwift has a growing ecosystem of libraries and frameworks, including popular ones like SwiftUI, Alamofire, and CoreData.R has a vast collection of libraries and packages specifically designed for statistical computing and data analysis.
Community and supportSwift has a large and active community of developers, with good documentation and support from Apple.R also has a strong community of statisticians and data scientists, with extensive online resources and support.
Learning curveSwift has a relatively low learning curve, especially for developers already familiar with C-based languages.R has a steeper learning curve, especially for developers without a background in statistical computing.