Online Raku 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 Raku to R in a click of a button. To use this converter, take the following steps -
- Type or paste your Raku 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 Raku and R
| Characteristic | Raku | R |
|---|---|---|
| Syntax | Perl-inspired, flexible, supports multiple syntactic forms, more modern and expressive. | Specialized for statistical computing, concise for data analysis, less general-purpose, unique assignment and function call syntax. |
| Paradigm | Multi-paradigm: object-oriented, functional, procedural, concurrent. | Primarily functional and procedural, with some object-oriented features. |
| Typing | Gradual and strong typing, supports type inference and explicit type declarations. | Dynamically typed, weak typing, types are inferred at runtime. |
| Performance | Generally slower due to its flexibility and features, but improving with newer implementations. | Optimized for statistical operations, can be slow for general-purpose tasks, but fast for vectorized data analysis. |
| Libraries and frameworks | Growing ecosystem, fewer libraries, general-purpose modules available via ecosystem like zef. | Extensive libraries for statistics, data analysis, and visualization (CRAN), mature ecosystem. |
| Community and support | Smaller, enthusiastic community, active development, less mainstream support. | Large, established community, strong academic and industry support, abundant resources. |
| Learning curve | Steep for beginners due to flexibility and advanced features, easier for those with Perl background. | Moderate for those with statistics background, can be challenging for general programming newcomers. |
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