Online R to Haskell 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 R to Haskell in a click of a button. To use this converter, take the following steps -
- Type or paste your R code in the input box.
- Click the convert button.
- The resulting Haskell code from the conversion will be displayed in the output box.
Examples
The following are examples of code conversion from R to Haskell 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.
R
Haskell
Example 2 - Even or Odd
A well commented function to check if a number if odd or even.
R
Haskell
Key differences between R and Haskell
| Characteristic | R | Haskell |
|---|---|---|
| Syntax | R has a syntax that is similar to traditional programming languages, with a focus on data manipulation and statistical analysis. | Haskell has a unique syntax that is based on mathematical concepts, with a strong emphasis on functional programming. |
| Paradigm | R is primarily a procedural programming language, but it also supports object-oriented programming. | Haskell is a purely functional programming language, which means that it focuses on writing programs using only functions. |
| Typing | R is dynamically typed, which means that variable types are determined at runtime. | Haskell is statically typed, which means that variable types are checked at compile-time. |
| Performance | R is not known for its performance, especially when dealing with large datasets. | Haskell is known for its high performance, thanks to its lazy evaluation and advanced optimization techniques. |
| Libraries and frameworks | R has a wide range of libraries and frameworks for statistical analysis, data visualization, and machine learning. | Haskell has a smaller ecosystem of libraries and frameworks compared to R, but it is growing steadily. |
| Community and support | R has a large and active community, with plenty of online resources, forums, and packages available. | Haskell has a smaller community compared to R, but it is known for its helpful and knowledgeable members. |
| Learning curve | R has a relatively low learning curve, especially for those with a background in statistics or data analysis. | Haskell has a steep learning curve, especially for those who are new to functional programming. |
