Online TypeScript 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 TypeScript to R in a click of a button. To use this converter, take the following steps -
- Type or paste your TypeScript 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 TypeScript 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.
TypeScript
R
Example 2 - Even or Odd
A well commented function to check if a number if odd or even.
TypeScript
R
Key differences between TypeScript and R
| Characteristic | TypeScript | R |
|---|---|---|
| Syntax | TypeScript is a superset of JavaScript, so its syntax is very similar to JavaScript with some additional features like type annotations, interfaces, and classes. | R has a syntax that is specifically designed for statistical computing and graphics. It has a functional programming style with a focus on data manipulation and analysis. |
| Paradigm | TypeScript is an object-oriented programming language that supports both procedural and functional programming paradigms. | R is a functional programming language that supports object-oriented programming through the use of S3 and S4 classes. |
| Typing | TypeScript is a statically typed language, which means that types are checked at compile-time. It also supports type inference. | R is a dynamically typed language, which means that types are checked at runtime. It does not support type inference. |
| Performance | TypeScript is generally faster than JavaScript because it is compiled to JavaScript and can take advantage of JavaScript engines' optimizations. | R is not known for its performance, especially when dealing with large datasets. However, there are packages like data.table that can improve performance. |
| Libraries and frameworks | TypeScript has access to all the libraries and frameworks available in JavaScript, including popular ones like React, Angular, and Vue. | R has a vast collection of packages for data manipulation, analysis, and visualization, including popular ones like ggplot2, dplyr, and tidyr. |
| Community and support | TypeScript has a growing community and is backed by Microsoft, which provides excellent documentation and support. | R has a large and active community, with many packages and resources available. It is also supported by the R Foundation. |
| Learning curve | TypeScript has a moderate learning curve, especially if you are already familiar with JavaScript. Learning how to use types and interfaces can take some time. | R has a steep learning curve, especially if you are not familiar with programming concepts like functional programming and data manipulation. However, there are many resources available to help you learn. |
