What are the advantages of using R?
- It’s easy for someone to learn. You don’t need to be a coding genius.
- There’s a ton of packages for analytics, statistical and graphics purposes which are free and open-source. Free is awesome! 😁
- Tons of academic papers make use of R. This makes staying on the cutting edge of academic advances in data science easier.
- All the cool kids are using it. 😉
- R can be integrated with other statistical programming languages
- There’s a ton of people who are skilled and knowledgeable on R to turn to if you need help.
What are the limits of R? Like…what can’t this bad boy do?
- R won’t beat C++ at the 500 meter
- Security is an issue for R.
- R is not the best at management of computer memory.
- R has a large a lot of namespaces. There are occasionally way too many. They’re working on this.
- R is not intuitive like Python. The reason is that R is a programming language for people in statistics, instead of the average programmer.
- It’s difficult to make object-oriented programs in R.
What can you install R on? Is there a list of operating systems that will work with it?
- Windows (first and foremost)
- Mac (because of course)