Online Golang to R Converter
Click 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 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. |
