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Online Fortran to R Converter

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Additional Instructions

How to use this tool?

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

Type or paste your Fortran code in the input box.
Click on the "Convert" button.
The converted R code will be displayed in the output box.

Examples

The following are examples of code conversion from Fortran 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.

Fortran Code:

R Code:

Example 2 - Even or Odd

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

Fortran Code:

R Code:

Differences

The following are some key differences between Fortran and R.

Characteristic	Fortran	R
Syntax	Fortran has a fixed-format syntax that requires specific column positions for statements and can be difficult to read. However, Fortran 90 introduced free-format syntax that is more flexible and easier to read.	R has a syntax that is similar to the English language and is easy to read and write. It uses a combination of functions, operators, and variables to perform operations.
Paradigm	Fortran is primarily a procedural programming language, but it also supports object-oriented programming (OOP) to some extent.	R is a functional programming language that supports object-oriented programming (OOP) to some extent.
Typing	Fortran is a statically typed language, which means that variable types are determined at compile time.	R is a dynamically typed language, which means that variable types are determined at runtime.
Performance	Fortran is known for its high performance and is often used for scientific and engineering applications that require complex calculations.	R is not as fast as Fortran, but it is still a high-level language that can handle large datasets and perform complex statistical analyses.
Libraries and frameworks	Fortran has a large number of libraries and frameworks for scientific and engineering applications, including LAPACK, BLAS, and FFTW.	R has a large number of libraries and frameworks for statistical analysis and data visualization, including ggplot2, dplyr, and tidyr.
Community and support	Fortran has a smaller community than some other programming languages, but it is still widely used in scientific and engineering applications. There are also many online resources and forums available for Fortran developers.	R has a large and active community of developers and users, with many online resources and forums available for support.
Learning curve	Fortran has a steep learning curve, especially for those who are not familiar with scientific or engineering applications. However, the language is relatively easy to read and write once the basics are understood.	R has a moderate learning curve, especially for those who are not familiar with statistical analysis or programming. However, the language is relatively easy to read and write once the basics are understood.

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