CodeConvert AI - Convert code with a click of a button

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 -

Type or paste your Swift code in the input box.
Click the convert button.
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

Example 2 - Even or Odd

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

Swift

Key differences between Swift and R

Characteristic	Swift	R
Syntax	Swift 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.
Paradigm	Swift 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.
Typing	Swift 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.
Performance	Swift 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 frameworks	Swift 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 support	Swift 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 curve	Swift 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.

How to use this tool?

Examples

Key differences between Swift and R

Try our ready to use converters using the links below