000 03721nam a22004455i 4500
001 978-1-4419-1318-0
003 DE-He213
005 20140220084505.0
007 cr nn 008mamaa
008 100427s2010 xxu| s |||| 0|eng d
020 _a9781441913180
_9978-1-4419-1318-0
024 7 _a10.1007/978-1-4419-1318-0
_2doi
050 4 _aQA276-280
072 7 _aUFM
_2bicssc
072 7 _aCOM077000
_2bisacsh
082 0 4 _a519.5
_223
100 1 _aMuenchen, Robert A.
_eauthor.
245 1 0 _aR for Stata Users
_h[electronic resource] /
_cby Robert A. Muenchen, Joseph Hilbe.
264 1 _aNew York, NY :
_bSpringer New York,
_c2010.
300 _aXXIV, 530 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStatistics and Computing,
_x1431-8784
505 0 _aInstalling and Updating R -- Running R -- Help and Documentation -- Programming Language Basics -- Data Acquisition -- Selecting Variables -- Selecting Observations -- Selecting Variables and Observations -- Data Management -- Enhancing Your Output -- Generating Data -- Managing Your Files and Workspace -- Graphics Overview -- Traditional Graphics -- Graphics with ggplot2 -- Statistics -- Conclusion.
520 _aStata 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. Robert A. Muenchen is the author of the book, R for SAS and SPSS Users, and is a consulting statistician with 29 years of experience. He has served on the advisory boards of SAS Institute, SPSS Inc., and the Statistical Graphics Corporation. He currently manages Research Computing Support at The University of Tennessee. Joseph M. Hilbe is Solar System Ambassador with NASA/Jet Propulsion Laboratory, California Institute of Technology, an adjunct professor of statistics at Arizona State, and emeritus professor at the University of Hawaii. He is a Fellow of the American Statistical Association and elected member of the International Statistical Institute. Hilbe was the first editor of the Stata Technical Bulletin, (later named the Stata Journal) and is author of a number of textbooks, including Logistic Regression Models and Negative Binomial Regression.
650 0 _aStatistics.
650 0 _aMathematical statistics.
650 1 4 _aStatistics.
650 2 4 _aStatistics and Computing/Statistics Programs.
700 1 _aHilbe, Joseph.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781441913173
830 0 _aStatistics and Computing,
_x1431-8784
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4419-1318-0
912 _aZDB-2-SMA
999 _c110370
_d110370