Online Nim 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 Nim to R in a click of a button. To use this converter, take the following steps -
- Type or paste your Nim 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 Nim and R
| Characteristic | Nim | R |
|---|---|---|
| Syntax | Python-like, indentation-based, concise and readable with influences from Pascal. | Unique, vectorized, and functional; syntax is tailored for statistical computing and data analysis. |
| Paradigm | Multi-paradigm: supports procedural, object-oriented, and functional programming. | Primarily functional and object-oriented, with strong support for vectorized operations. |
| Typing | Statically typed with type inference. | Dynamically typed. |
| Performance | High performance, compiles to C/C++/JavaScript, close to C in speed. | Slower than compiled languages, optimized for data analysis but not for general-purpose performance. |
| Libraries and frameworks | Growing ecosystem, fewer libraries compared to mainstream languages, but can use C libraries. | Extensive libraries and packages for statistics, data analysis, and visualization (CRAN). |
| Community and support | Smaller, active, and growing community; less mainstream support. | Large, well-established community with strong academic and industry support. |
| Learning curve | Moderate; easier for those familiar with Python or Pascal. | Steep for beginners, especially those new to statistical programming. |
