Free R to Fortran Converter
How to use this tool?
This free online converter lets you convert code from R to Fortran 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 Fortran code from the conversion will be displayed in the output box.
Examples
The following are examples of code conversion from R to Fortran 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.
R
Fortran
Example 2 - Even or Odd
A well commented function to check if a number if odd or even.
R
Fortran
Key differences between R and Fortran
| Characteristic | R | Fortran |
|---|---|---|
| Syntax | R has a syntax that is similar to the S programming language, which is designed for data analysis and visualization. It has a wide range of built-in functions and operators that make it easy to manipulate data. | Fortran has a syntax that is optimized for scientific and engineering applications. It is designed to be easy to read and write, with a focus on mathematical operations and array processing. |
| Paradigm | R is a functional programming language that is designed for data analysis and statistical computing. It supports object-oriented programming and procedural programming as well. | Fortran is a procedural programming language that is designed for scientific and engineering applications. It supports structured programming and object-oriented programming to some extent. |
| Typing | R is a dynamically typed language, which means that the data type of a variable is determined at runtime. It is also a weakly typed language, which means that the type of a variable can be changed during runtime. | Fortran is a statically typed language, which means that the data type of a variable is determined at compile time. It is also a strongly typed language, which means that the type of a variable cannot be changed during runtime. |
| Performance | R is not as fast as Fortran when it comes to numerical computations, but it is optimized for data analysis and visualization. It has a wide range of built-in functions and libraries that make it easy to manipulate data. | Fortran is one of the fastest programming languages when it comes to numerical computations. It is optimized for scientific and engineering applications and has a wide range of libraries and frameworks for numerical analysis and simulation. |
| Libraries and frameworks | R has a wide range of libraries and frameworks for data analysis, statistical computing, and visualization. Some of the popular libraries include ggplot2, dplyr, and tidyr. | Fortran has a wide range of libraries and frameworks for scientific and engineering applications. Some of the popular libraries include LAPACK, BLAS, and FFTW. |
| Community and support | R has a large and active community of users and developers. There are many online resources and forums available for learning and getting help with R. | Fortran has a smaller community compared to R, but it is still an active and well-supported language. There are many online resources and forums available for learning and getting help with Fortran. |
| Learning curve | R has a steep learning curve for beginners, especially those who are not familiar with programming or statistical analysis. However, there are many online resources and tutorials available for learning R. | Fortran has a steep learning curve for beginners, especially those who are not familiar with programming or scientific computing. However, there are many online resources and tutorials available for learning Fortran. |
Frequently Asked Questions
How do I convert R to Fortran?
Paste your R code into the input box, confirm the languages are set to R and Fortran, and click Convert. CodeConvert AI analyzes your R code and generates equivalent Fortran code in seconds, preserving the original logic and structure.
What are the main differences between R and Fortran?
R and Fortran differ in syntax, type system, standard libraries, and common idioms, so copying code line for line usually will not compile. The converter maps each R construct to its closest Fortran equivalent. See the comparison table below for the key differences between R and Fortran.
Is the converted Fortran code accurate?
The AI produces high-quality Fortran code that preserves the behavior of your original R code and follows Fortran conventions. It handles common patterns, data structures, and idioms for both R and Fortran. For large or performance-critical code, review and test the Fortran output before using it in production.
Can I convert an entire R project to Fortran?
You can convert R files one at a time by pasting each file's code. For a full migration, convert each file and then review how classes, dependencies, and project structure map from R to Fortran. Signing in for free raises the input limit to 25,000 characters per conversion for larger files.
Can I convert Fortran back to R?
Yes. CodeConvert AI converts in both directions, so you can convert Fortran to R just as easily using our Fortran to R converter. Try the Fortran to R Converter
Is the R to Fortran converter free, and do I need to install anything?
Yes, it is free and runs in your browser with nothing to install and no IDE extension required. You can convert R to Fortran without an account for up to 5 conversions per day. Sign in for free for higher limits.
What are the benefits of signing in?
Signing in unlocks CodeConvert AI's Pro converter with more powerful AI models, a built-in chat assistant, code execution, saved conversion history, and personal notes. Every free account includes 5 credits and supports up to 25,000 characters of input per conversion, with no credit card required.
