Overview
Stata is 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 over 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, 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.
Full Product Details
Author: Robert A. Muenchen ,
Joseph M. Hilbe
Publisher: Springer-Verlag New York Inc.
Imprint: Springer-Verlag New York Inc.
Edition: 2010 ed.
Dimensions:
Width: 15.50cm
, Height: 2.80cm
, Length: 23.50cm
Weight: 0.842kg
ISBN: 9781461425960
ISBN 10: 1461425964
Pages: 530
Publication Date: 01 July 2012
Audience:
Professional and scholarly
,
Professional & Vocational
Format: Paperback
Publisher's Status: Active
Availability: Manufactured on demand
We will order this item for you from a manufactured on demand supplier.
Reviews
From the reviews: The goal of the authors 'is to help you translate what you know about Stata into a working knowledge of R as quickly and easily as possible' ... . the book is apparently aimed at someone who wishes to switch from Stata to R. ... many chapters include Stata code and R code to do exactly the same thing (particularly in the data manipulation chapters) and these are helpful. (Richard Goldstein, Technometrics, Vol. 53 (4), November, 2011)
From the reviews: The goal of the authors 'is to help you translate what you know about Stata into a working knowledge of R as quickly and easily as possible' ... . the book is apparently aimed at someone who wishes to switch from Stata to R. ... many chapters include Stata code and R code to do exactly the same thing (particularly in the data manipulation chapters) and these are helpful. (Richard Goldstein, Technometrics, Vol. 53 (4), November, 2011)
From the reviews: The goal of the authors is to help you translate what you know about Stata into a working knowledge of R as quickly and easily as possible . the book is apparently aimed at someone who wishes to switch from Stata to R. many chapters include Stata code and R code to do exactly the same thing (particularly in the data manipulation chapters) and these are helpful. (Richard Goldstein, Technometrics, Vol. 53 (4), November, 2011)
