❌ R can have problems with computationally intensive tasks (only important for advanced users) ❌ R is almost exclusively based on programming (no extensive drop-down menus such as in SPSS) ❌ No company in the background that takes responsibility for errors in the code (this is especially important for public institutes) ❌ No systematic validation of new packages and functions
❌ Relatively high learning burden at the beginning (even though it’s worth it) ✅ R has a huge community that is organized in forums to help each other (e.g. ✅ R is compatible with all operating systems (e.g. ✅ R is very flexible – Essentially everything can be modified for your personal needs ✅ R provides a huge variety of graphical outputs ✅ Algorithms for packages and functions are publicly available (transparency and reproducibility) ✅ New methods are implemented in add-on packages quickly ✅ Almost all statistical methods are available in R ✅ R’s popularity is growing – More and more people will use it
There are many reasons why you should – or should not – learn R! The list below provides an overview of some of the most important advantages and disadvantages of the R programming language. Why You Should Learn the R Programming Language (Pros & Cons) SAS, SPSS, Stata etc.), where the software development is in the hands of a paid development team.
The open-source ideology of R programming reflects a huge contrast compared to most traditional programming environments (e.g. The R software is completely free and gets developed collaboratively by its community ( open-source software) – every R user can publish new add-on packages. A stable beta version was released in the year 2000. R is a dialect of the S programming language and was developed by Ross Ihaka and Robert Gentleman in the year 1995. R is a programming language and software that is becoming increasingly popular in the disciplines of statistics and data science. What is R Programming & What is it Used for? So without too much talk, let’s get started… 8) All R Programming Tutorials on Statistics Globe
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