How to use this tool?
This free online converter lets you convert code from VB.NET to R in a click of a button. To use this converter, take the following steps -
- Type or paste your VB.NET 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 VB.NET 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.
VB.NET
R
Example 2 - Even or Odd
A well commented function to check if a number if odd or even.
VB.NET
R
Key differences between VB.NET and R
Characteristic | VB.NET | R |
---|---|---|
Syntax | VB.NET uses a syntax similar to the BASIC programming language, with a focus on readability and simplicity. | R uses a syntax that is primarily focused on statistical analysis and data manipulation, with a wide range of built-in functions and operators. |
Paradigm | VB.NET is primarily an object-oriented programming language, supporting concepts such as classes, inheritance, and polymorphism. | R is a multi-paradigm programming language, supporting procedural, functional, and object-oriented programming styles. |
Typing | VB.NET is a statically-typed language, meaning that variable types are checked at compile-time. | R is a dynamically-typed language, allowing for more flexibility in variable types and less strict type checking. |
Performance | VB.NET is a compiled language, which generally results in faster performance compared to interpreted languages like R. | R is an interpreted language, which can lead to slower performance compared to compiled languages like VB.NET. |
Libraries and frameworks | VB.NET has a wide range of libraries and frameworks available, including the .NET Framework and various third-party libraries. | R has a rich ecosystem of libraries and packages for statistical analysis, data visualization, and machine learning. |
Community and support | VB.NET has a large and active community of developers, with extensive documentation and support available. | R has a strong community of statisticians and data scientists, with active forums and online resources for support. |
Learning curve | VB.NET has a relatively low learning curve, especially for developers familiar with other BASIC-like languages. | R has a moderate learning curve, particularly for those new to statistical programming and data analysis. |