CodeConvert AI - Convert code with a click of a button

How to use this tool?

This free online converter lets you convert code from R to Dart 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 Dart code from the conversion will be displayed in the output box.

Examples

The following are examples of code conversion from R to Dart 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.

Dart

Example 2 - Even or Odd

A well commented function to check if a number if odd or even.

Dart

Key differences between R and Dart

Characteristic	R	Dart
Syntax	R uses a syntax that is primarily focused on statistical analysis and data manipulation. It has a wide range of built-in functions and operators for these purposes.	Dart has a syntax that is similar to languages like Java and JavaScript. It is designed to be easy to read and write, with a focus on simplicity and clarity.
Paradigm	R is primarily a functional programming language, but it also supports procedural and object-oriented programming paradigms.	Dart is a multi-paradigm language that supports both object-oriented and functional programming. It provides features like classes, interfaces, and mixins for object-oriented programming, as well as functions as first-class objects for functional programming.
Typing	R is a dynamically typed language, which means that variable types are determined at runtime.	Dart is a statically typed language, which means that variable types are checked at compile-time. It provides type inference, allowing type annotations to be optional in many cases.
Performance	R is not known for its performance, especially when dealing with large datasets. It is optimized for ease of use and data analysis rather than speed.	Dart is designed to be fast and efficient. It uses a just-in-time (JIT) compiler during development and a ahead-of-time (AOT) compiler for production, resulting in high-performance code.
Libraries and frameworks	R has a wide range of libraries and packages available for statistical analysis, data visualization, machine learning, and more. Some popular libraries include ggplot2, dplyr, and caret.	Dart has a growing ecosystem of libraries and frameworks. Some popular libraries include Flutter for building cross-platform mobile apps, AngularDart for web development, and Aqueduct for server-side development.
Community and support	R has a large and active community of users and developers. There are many online resources, forums, and user groups available for support and collaboration.	Dart has a growing community of developers, especially with the rise of Flutter. There are online forums, documentation, and community events available for support and learning.
Learning curve	R has a steep learning curve, especially for beginners with no programming background. It requires understanding statistical concepts and data manipulation techniques.	Dart has a relatively gentle learning curve, especially for developers with experience in other object-oriented languages. Its syntax is easy to read and write, and there are many learning resources available.

How to use this tool?

Examples

Key differences between R and Dart

Try our ready to use converters using the links below