CodeConvert AI - Convert code with a click of a button

CodeConvert

How to use this tool?

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

Type or paste your Fsharp code in the input box.
Click the convert button.
The resulting R code from the conversion will be displayed in the output box.

Key differences between Fsharp and R

Characteristic	Fsharp	R
Syntax	F# has a concise and expressive syntax that is similar to OCaml. It supports functional programming and provides powerful pattern matching capabilities.	R has a syntax that is primarily focused on statistical analysis and data manipulation. It is more verbose compared to F# and is not as expressive for general-purpose programming.
Paradigm	F# is a multi-paradigm language that supports functional programming, object-oriented programming, and imperative programming.	R is primarily a functional programming language that is designed for statistical computing and graphics.
Typing	F# is a statically typed language that supports type inference. It has a strong type system that helps catch errors at compile-time.	R is a dynamically typed language that does not require explicit type declarations. It allows for flexible and dynamic data manipulation.
Performance	F# is known for its performance and can be comparable to other statically typed languages like C#. It can leverage the .NET runtime for efficient execution.	R is not known for its performance as it is primarily focused on data analysis and not optimized for speed. However, performance-critical tasks can be offloaded to external libraries.
Libraries and frameworks	F# has access to the extensive .NET ecosystem, which includes a wide range of libraries and frameworks for various purposes.	R has a rich ecosystem of packages and libraries specifically designed for statistical analysis, data manipulation, and visualization.
Community and support	F# has a growing community and is supported by Microsoft. It has active online forums, documentation, and resources.	R has a large and active community of statisticians, data scientists, and researchers. It has extensive online resources, forums, and packages.
Learning curve	F# has a moderate learning curve, especially for developers familiar with functional programming concepts. It may require some adjustment for developers coming from imperative or object-oriented backgrounds.	R has a relatively steep learning curve, especially for developers without prior experience in statistical programming. It requires understanding of statistical concepts and specialized syntax.

Try our ready to use converters using the links below