R Graphics Cookbook
| Author | : | |
| Rating | : | 4.47 (933 Votes) |
| Asin | : | 1449316956 |
| Format Type | : | paperback |
| Number of Pages | : | 416 Pages |
| Publish Date | : | 2014-11-28 |
| Language | : | English |
DESCRIPTION:
Q&A with Winston Chang, author of "R Graphics Cookbook: Practical Recipes for Visualizing Data"
If you have a basic understanding of the R language, you’re ready to get started.Use R’s default graphics for quick exploration of dataCreate a variety of bar graphs, line graphs, and scatter plotsSummarize data distributions with histograms, density curves, box plots, and other examplesProvide annotations to help viewers interpret dataControl the overall appearance of graphicsRender data groups alongside each other for easy comparisonUse colors in plotsCreate network graphs, heat maps, and 3D scatter plotsStructure data for graphing. This p
"Treasure trove of graphing ideas and recipes" according to Ravi Aranke. Even if you know R, learning to do graphs well in R is like learning (yet another) new language - that of ggplot2.You could learn a new language by first studying its grammar and building some vocabulary. In that case, you might want to start with ggplot2 creator's book ggplot2: Elegant Graphics for Data Analysis (Use R!). That's an excellent book and that's where I started.Still, there are many loose ends in my understanding of ggplot2 and sometimes I struggle to find the exact technique to achieve the effect I want. e.g. do I set fill or colour? What does grouping exactly do? How do I rearrange facto. Your R graphing bible. But like all bibles written by a human Your R graphics bible. This is very much a recipe book - look for the kind of graph you want and it will give you the working code to get you started. If you don't know what kind of graph you want then browse the book and it will give you some great ideas you might not have thought of. But like a good recipe book it's not just about how to generate graphs in R, it's also a pretty good primer on how to produce good graphs - which is after all what we are trying to do in the first place. Since getting this book I have pretty much stopped making any bar graphs but instead make Cleveland dot plots with lin. SASGraph Relief Amazon Customer Others have done a great job noting the strong points of this book for R programmers. Those aspects combine with another to help out converts from SAS, like my husband.He likes that there are not only recipes, but underlying reasons. The book provides insight into how R is intended to work. This is the difference between understanding the basic concept of cut-and-paste as opposed to knowing just the steps for doing it in one operating system.He also likes that the explanations provide gobs of useful search terms. These are great for solving challenges not contained in the recipes.Must be a good book. H