The Art of R Programming: A Tour of Statistical Software Design vs Quick-R: Accessing the Power of R
When comparing The Art of R Programming: A Tour of Statistical Software Design vs Quick-R: Accessing the Power of R, the Slant community recommends Quick-R: Accessing the Power of R for most people. In the question“What are the best resources to learn R?” Quick-R: Accessing the Power of R is ranked 6th while The Art of R Programming: A Tour of Statistical Software Design is ranked 9th. The most important reason people chose Quick-R: Accessing the Power of R is:
Everything on the website is for free and it covers quite a lot of what people new to R might want to do at the start. At least if they are interested mainly in statistical analysis (and less in R programming).
Ranked in these QuestionsQuestion Ranking
Pros
Pro Broad coverage of topics
This book touches on a wide variety of topics, from scope and functions to more advanced topics (such as debugging and performance).
Pro Free
Everything on the website is for free and it covers quite a lot of what people new to R might want to do at the start. At least if they are interested mainly in statistical analysis (and less in R programming).
Pro Allows for a quick start
With hands-on examples and code snippets it allows people to get started quickly.
Pro Good reference for transition from other statistical software
If people know the basics or come from different applications Quick-R is especially helpful, because people that know what they are looking for, will find easy guides on how to do certain things in R.
Cons
Con Some examples are missing data sets
Some of the examples do not have data sets provided, preventing the reader from working through the examples.
Con Disorganized
Topics aren't introduced in an intuitive order. Instead, many terms are used that aren't defined until later chapters.
Con Less helpful for programming
Quick-R is a nice resource if you want to learn quickly how to do basic statistic analysis. However there is little information on programming or basic principles of R as a programming language.