# 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 **The Art of R Programming: A Tour of Statistical Software Design** for most people. In the question**“What are the best resources to learn R?”** **The Art of R Programming: A Tour of Statistical Software Design** is ranked 7th while **Quick-R: Accessing the Power of R** is ranked 8th. The most important reason people chose **The Art of R Programming: A Tour of Statistical Software Design** is:

This book touches on a wide variety of topics, from scope and functions to more advanced topics (such as debugging and performance).

#### 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.