Lattice: Multivariate Data Visualization with R
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Review
From the reviews: "The book is destined to be the standard reference on lattice and is highly recommended to thoe with an interest in using lattice graphics in R." (Gabor G. Grothendieck, Journal of Statisical Software)
Product Description
Written by the author of the lattice system, this book describes lattice 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 to 150 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.
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Most Helpful Customer Reviews
5.0 out of 5 stars
Essential graphics,
By
This review is from: Lattice: Multivariate Data Visualization with R (Use R!) (Paperback)
The graphics in the base package of R are OK, but not great. Lattice adds a good deal more and serious users will find it essential. Lattice is known for implementing Cleveland's trellis graphics, where multivariate data is represented as a grid of smaller plots, but it does a lot more. If you want to put multiple density plots on the one chart, for example, where each curve represents one subgroup, you can do it in Lattice.
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Most Helpful Customer Reviews on Amazon.com (beta) Amazon.com:
5.0 out of 5 stars (6 customer reviews) 22 of 22 people found the following review helpful:
5.0 out of 5 stars
Excellent book, excellent package...,
By Wayne Folta - Published on Amazon.com
This review is from: Lattice: Multivariate Data Visualization with R (Use R!) (Paperback)
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. 16 of 16 people found the following review helpful:
5.0 out of 5 stars
Outstanding,
By Peter Flom - Published on Amazon.com
This review is from: Lattice: Multivariate Data Visualization with R (Use R!) (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. 11 of 11 people found the following review helpful:
5.0 out of 5 stars
Very helpful,
By Daniel T. Knoepfle - Published on Amazon.com
This review is from: Lattice: Multivariate Data Visualization with R (Use R!) (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). |
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