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 -
- Type or paste your Golang 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 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
R
Example 2 - Even or Odd
A well commented function to check if a number if odd or even.
Golang
R
Key differences between Golang and R
Characteristic | Golang | R |
---|---|---|
Syntax | Golang 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. |
Paradigm | Golang 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. |
Typing | Golang 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. |
Performance | Golang 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 frameworks | Golang 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 support | Golang 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 curve | Golang 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. |