**Portfolio Probe » R language**, and kindly contributed to R-bloggers)

**Executive summary:** Extremely useful for new users, informative to even quite seasoned users.

## Refereeing

Once upon a time a publisher asked if I would referee a book (unspecified) about R. In an instance that can only be described as psychotic I said yes. That bit of insanity turned out to be a good thing.

I was treated to chapters of a cookbook on R graphics doled out in installments, like how Thackeray’s Vanity Fair was originally published.

It is fairly embarrassing how much I learned from the book.

## The format

All you need to know about each task is presented in specific sections:

**The task**: what is to be done**Getting ready**: packages that might need to be attached, for instance**How to do it …**: the R code**How it works …**: a brief explanation of what the code means**There’s more …**: variations on the theme

You only need to get your own data into R in order to get similar plots that you care about.

## Downside

The graphs are in black and white, not color — at least in the hardcopy version. Heatmaps in grayscale are suboptimal. The Panglossian view is that this will encourage readers to create the graphs themselves.

I made an effort to rid the book of the L-word when “package” is meant. The L-word is “library” (see Some quibbles about “The R Book” and its comments for more on this). Alas, I failed. I fear I’ll be expelled from the JaRgon Police Force.

## Getting it

You can go to the R Graphs Cookbook webpage.

**leave a comment**for the author, please follow the link and comment on their blog:

**Portfolio Probe » R language**.

R-bloggers.com offers

**daily e-mail updates**about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...