Authors:
- Read data from various types of text files and Stata data sets
- Manage your data through transformations, recodes, and combining data sets from both the add-cases and add-variables approaches and restructuring data from wide to long formats and vice versa
- Create publication quality graphs
- Perform the basic types of analyses to measure strength of association and group differences and be able to know where to turn to cover much more complex methods
- Includes supplementary material: sn.pub/extras
Part of the book series: Statistics and Computing (SCO)
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Table of contents (18 chapters)
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Front Matter
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Back Matter
About this book
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.
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)Authors and Affiliations
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Office of Information Technology Statistical Consulting Center, Stokeley Management Center, University of Tennessee, Knoxville, USA
Robert A. Muenchen
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Florence, USA
Joseph M. Hilbe
Bibliographic Information
Book Title: R for Stata Users
Authors: Robert A. Muenchen, Joseph M. Hilbe
Series Title: Statistics and Computing
DOI: https://doi.org/10.1007/978-1-4419-1318-0
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Science+Business Media, LLC 2010
Hardcover ISBN: 978-1-4419-1317-3Published: 07 May 2010
Softcover ISBN: 978-1-4614-2596-0Published: 01 July 2012
eBook ISBN: 978-1-4419-1318-0Published: 26 April 2010
Series ISSN: 1431-8784
Series E-ISSN: 2197-1706
Edition Number: 1
Number of Pages: XXIV, 530