Stata is one of the most flexible and extensible data analysis package available from a commercial vendor. R is a similarly flexible free and open source package for data analysis, with more than 3,000 add-on packages available. This book shows you how to extend the power of Stata through the use of R. It introduces R
using Stata terminology with which you are already familiar. It steps through more
than 30 programs written in both languages, comparing and contrasting the two packages'
different approaches. When finished, you will be able to use R in conjunction
with Stata, or separately. You will be able to import data, manage and transform
it, create publication quality graphics and perform basic statistical analyses. A glossary defines over 50 R terms using Stata jargon, and again using more formal R terminology. The table of contents and index allow you to find equivalent R functions by looking up Stata commands and vice versa. The example programs and practice datasets for both R and Stata are available for download.
"My first foray into R programming was infuriatingly unproductive. I needed something that could lay out an introduction into R that would build upon my existing knowledge of statistical programming, namely Stata. This book does just that - it identifies commands and structures that are direct parallels and directs attention towards the portions of R that are fundamentally different from Stata. The authors provide excellent examples and full example files. Since I have been using this book my experiences with R have been much more productive and far less frustrating." -Peter Goff, Vanderbilt University |

Books >