How to use this tool?

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

  1. Type or paste your Golang 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 Golang 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.

Golang

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R

Example 2 - Even or Odd

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

Golang

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R

Key differences between Golang and R

CharacteristicGolangR
SyntaxGolang has a C-like syntax that is easy to read and write. It uses curly braces and semicolons to separate statements.R has a syntax that is more similar to natural language than to traditional programming languages. It uses a lot of symbols and functions to manipulate data.
ParadigmGolang is a statically typed, compiled language that supports procedural, object-oriented, and functional programming paradigms.R is a dynamically typed, interpreted language that is primarily used for statistical computing and graphics. It supports functional and object-oriented programming paradigms.
TypingGolang is a statically typed language, which means that variable types are determined at compile time.R is a dynamically typed language, which means that variable types are determined at runtime.
PerformanceGolang is known for its high performance and low memory usage. It is often used for building high-performance network services and web applications.R is not known for its performance, especially when dealing with large datasets. It is often used for data analysis and visualization rather than performance-critical applications.
Libraries and frameworksGolang has a growing ecosystem of libraries and frameworks, including popular web frameworks like Gin and Echo, and database libraries like GORM.R has a large and active community that has developed many libraries and frameworks for data analysis and visualization, including popular packages like ggplot2 and dplyr.
Community and supportGolang has a growing community and is backed by Google, which provides strong support for the language.R has a large and active community of data scientists and statisticians, and is supported by the R Foundation.
Learning curveGolang has a relatively low learning curve, especially for developers with experience in C-like languages. Its simplicity and readability make it easy to learn.R has a steeper learning curve, especially for developers without a background in statistics or data analysis. Its syntax and functional programming paradigm can be challenging for beginners.