CodeConvert AI - Convert code with a click of a button

How to use this tool?

This free online converter lets you convert code from Scala to R in a click of a button. To use this converter, take the following steps -

Type or paste your Scala 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 Scala 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.

Scala

Example 2 - Even or Odd

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

Scala

Key differences between Scala and R

Characteristic	Scala	R
Syntax	Scala has a syntax that is similar to Java, but with more advanced features such as functional programming constructs and type inference.	R has a syntax that is designed specifically for data analysis and statistical computing, with a focus on readability and ease of use.
Paradigm	Scala is a multi-paradigm language that supports both object-oriented and functional programming styles.	R is primarily a functional programming language, but also supports object-oriented programming.
Typing	Scala is a statically typed language, which means that type checking is done at compile time.	R is a dynamically typed language, which means that type checking is done at runtime.
Performance	Scala is generally faster than R due to its static typing and the fact that it runs on the Java Virtual Machine (JVM).	R can be slower than Scala due to its dynamic typing and interpreted nature, but it has many optimized libraries for numerical computing that can improve performance.
Libraries and frameworks	Scala has a wide range of libraries and frameworks for web development, data processing, and machine learning, including Akka, Spark, and Play.	R has a large number of libraries and packages for statistical computing, data visualization, and machine learning, including ggplot2, dplyr, and caret.
Community and support	Scala has a growing community of developers and users, with active support from companies such as Lightbend and Typesafe.	R has a large and active community of users and developers, with support from organizations such as the R Foundation and RStudio.
Learning curve	Scala has a steeper learning curve than R due to its advanced features and complex syntax, but it can be easier to learn for developers with a background in Java or other object-oriented languages.	R has a relatively low learning curve, especially for users with a background in statistics or data analysis, but it can be more difficult for developers with no prior experience in programming.

How to use this tool?

Examples

Key differences between Scala and R

Try our ready to use converters using the links below