Programming Books C Java PHP Python Learn more Browse Programming Books
Buy New
$63.96
Qty:1
  • List Price: $79.95
  • Save: $15.99 (20%)
In Stock.
Ships from and sold by Amazon.com.
Gift-wrap available.
Trade in your item
Get a $20.60
Gift Card.
Have one to sell? Sell on Amazon
Flip to back Flip to front
Listen Playing... Paused   You're listening to a sample of the Audible audio edition.
Learn more
See all 2 images

Lattice: Multivariate Data Visualization with R (Use R!) Paperback – August 28, 2008

ISBN-13: 978-0387759685 ISBN-10: 0387759689 Edition: 1st ed. 2008. Corr. 2nd printing 2008

Buy New
Price: $63.96
38 New from $58.69 16 Used from $41.25
Rent from Amazon Price New from Used from
Kindle
"Please retry"
$22.32
Paperback
"Please retry"
$63.96
$58.69 $41.25
Free%20Two-Day%20Shipping%20for%20College%20Students%20with%20Amazon%20Student


Frequently Bought Together

Lattice: Multivariate Data Visualization with R (Use R!) + ggplot2: Elegant Graphics for Data Analysis (Use R!) + R Graphics Cookbook
Price for all three: $149.54

Buy the selected items together

NO_CONTENT_IN_FEATURE
Save up to 90% on Textbooks
Rent textbooks, buy textbooks, or get up to 80% back when you sell us your books. Shop Now

Product Details

  • Series: Use R!
  • Paperback: 268 pages
  • Publisher: Springer; 1st ed. 2008. Corr. 2nd printing 2008 edition (August 28, 2008)
  • Language: English
  • ISBN-10: 0387759689
  • ISBN-13: 978-0387759685
  • Product Dimensions: 9.1 x 6.3 x 0.4 inches
  • Shipping Weight: 15.2 ounces (View shipping rates and policies)
  • Average Customer Review: 4.9 out of 5 stars  See all reviews (7 customer reviews)
  • Amazon Best Sellers Rank: #380,191 in Books (See Top 100 in Books)

Editorial Reviews

Review

From the reviews:

"This book can be seen as a valuable source for lattice users at all levels. … The book nicely shows that making good graphics is a process and the reader is guided by the author in a wealth of examples through the various steps needed to reach the final result. A nice feature of the book is that it has an accompanying homepage that contains all the R code and figures of the book." (Klaus Nordhausen, International Statistical Review, Vol. 76 (3), 2008)

"Lattice is a package for R, and it greatly extends the already impressive graphical capabilities. … I suggest that many users of lattice (and most users of R probably ought to use lattice) should buy this book. … if one is using this book for self-study, exercises would be very helpful. … I recommend this book to anyone with a particular interest in the lattice package or a general interest in R graphics." (Peter L. Flom, The American Statistician, Vol. 63 (1), February, 2009)

“The book has 14 chapters separated in three parts. … very accessible to those inexperienced in the S language. For those readers that have more experience with R, the book is also quite useful. … Overall, if you are learning R or have not moved beyond the traditional S graphics system, the book shows the range possibilities of what can be done. … everyone using R would benefit from this book.” (Max Kuhn, Technometrics, Vol. 52 (3), August, 2010)

From the Back Cover

R is rapidly growing in popularity as the environment of choice for data analysis and graphics both in academia and industry. Lattice brings the proven design of Trellis graphics (originally developed for S by William S. Cleveland and colleagues at Bell Labs) to R, considerably expanding its capabilities in the process. Lattice is a powerful and elegant high level data visualization system that is sufficient for most everyday graphics needs, yet flexible enough to be easily extended to handle demands of cutting edge research. Written by the author of the lattice system, this book describes it in considerable depth, beginning with the essentials and systematically delving into specific low levels details as necessary. No prior experience with lattice is required to read the book, although basic familiarity with R is assumed.

The book contains close to150 figures produced with lattice. Many of the examples emphasize principles of good graphical design; almost all use real data sets that are publicly available in various R packages. All code and figures in the book are also available online, along with supplementary material covering more advanced topics.

Deepayan Sarkar won the 2004 John M. Chambers Statistical Software Award for writing lattice while he was a graduate student in Statistics at the University of Wisconsin-Madison. He is currently doing postdoctoral research in the Computational Biology program at the Fred Hutchinson Cancer Research Center, a member of the R Core Team, and an active participant on the R mailing lists.


More About the Author

Discover books, learn about writers, read author blogs, and more.

Customer Reviews

4.9 out of 5 stars
5 star
6
4 star
1
3 star
0
2 star
0
1 star
0
See all 7 customer reviews
And if you're serious about graphics in R you want to be using either lattice or ggplot2.
Wayne Folta
So lattice = awesome, and this book is the best intro to it, but eventually you will find yourself wanting more, and being unable to find it.
Reviewer1
This books is loaded with examples, ranging from easy to quite involved, and the explanations given are clear and to the point.
Amazon Customer

Most Helpful Customer Reviews

31 of 31 people found the following review helpful By Wayne Folta on December 8, 2008
Format: Paperback Verified Purchase
Exactly the book you want if you're going to use lattice. And if you're serious about graphics in R you want to be using either lattice or ggplot2. I've been very pleased with the book and have tabbed quite a few pages for quick reference.

As a side note, lattice is like R's base graphics on steroids. After having this book for a while, I decided to investigate ggplot2, the other major R graphics package, and I think I'll stick with ggplot2. It has a totally different philosophy from lattice (and thus base graphics) which allows for an incredible flexibility without resorting to tinkering with the engine (i.e. lattice's panel functions). ggplot2 has a draft PDF manual online and a nice reference website.

I ultimately chose ggplot2, but I still give this lattice book high marks and will keep it nearby for if I have to work with lattice. With its status as a recommended R package, lattice is more widespread and several packages now use it as their graphics foundation.
Comment Was this review helpful to you? Yes No Sending feedback...
Thank you for your feedback. If this review is inappropriate, please let us know.
Sorry, we failed to record your vote. Please try again
19 of 19 people found the following review helpful By Peter Flom on April 2, 2008
Format: Paperback
Deepayan Sarkar won a prize for programming Lattice. He deserves another for writing this book. The usual style of help files in R (including Lattice) is terse; this is a deliberate choice by the developers. Presumably, a lot of people like this terseness - but I am not one of them, and there are many others I know of who share my confusion at some of the help files.

Now, there's a whole book on Lattice, and it's written in an accessible style that will let me use Lattice much more creatively and with many fewer errors.

I think even experts on Lattice may find new things here; but for newcomers to Lattice, it's an indispensable guide.
Comment Was this review helpful to you? Yes No Sending feedback...
Thank you for your feedback. If this review is inappropriate, please let us know.
Sorry, we failed to record your vote. Please try again
14 of 14 people found the following review helpful By Daniel T. Knoepfle on June 13, 2008
Format: Paperback
I learned far more from a few hours of reading this book than I did from countless hours tinkering with Lattice graphs. I would recommend it without hesitation to any novice or intermediate user of R.

Furthermore, while both are helpful, this book is probably a better first purchase than R Graphics (Computer Science and Data Analysis).
Comment Was this review helpful to you? Yes No Sending feedback...
Thank you for your feedback. If this review is inappropriate, please let us know.
Sorry, we failed to record your vote. Please try again
7 of 7 people found the following review helpful By Amazon Customer on July 2, 2008
Format: Paperback Verified Purchase
I share the views of the previous reviewers: this book is great. I have been using R for several years now, and found the help pages for Lattice much too terse to really grasp the potential of the system. This books is loaded with examples, ranging from easy to quite involved, and the explanations given are clear and to the point.

A book like this deserved a production effort from Springer, and about three times as many color plates as it has, but even as it is seems to me quite good.

Aside from the description of the Lattice package, that Deepayan Sarkar obviously knows as only its designer can, there is a wealth of comments on graphics design and pointers to the classics of the subject --Tufte, Cleveland, etc.

A book not to miss by any seriously interested in statistical graphics, or indeed by anyone willing to add a powerful tool to his/her graphics toolbox. May I only add that those willing to make a further investment of time to obtain the most of this book, might consider Murrell's "R Graphics" (Chapman & Hall), also a masterpiece of expository writing, discussing (in its chapter 4) Lattice graphics within the context of grid ---grid being the underlying graphics model on which Lattice is built.
Comment Was this review helpful to you? Yes No Sending feedback...
Thank you for your feedback. If this review is inappropriate, please let us know.
Sorry, we failed to record your vote. Please try again

Customer Images


What Other Items Do Customers Buy After Viewing This Item?