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.

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.