 | Benjamin M. Bolker - Nature - 2008 - 409 pages
Ecological Models and Data in R is the first truly practical introduction to modern statistical methods for ecology. In step-by-step detail, the book teaches ecology graduate ... | |
 | Andreas Krause, Melvin Olson - Computers - 2005 - 480 pages
Proven bestseller: almost 6000 copies sold in the U.S. in two editions New edition updated to cover S-PLUS 6.0 Can be used as an introduction to R, as well as S-PLUS New ... | |
 | Randall E. Schumacker - Social Science - 2014 - 648 pages
Providing easy-to-use R script programs that teach descriptive statistics, graphing, and other statistical methods, Learning Statistics Using R shows readers how to run and ... | |
 | Mike Allerhand - Computers - 2011 - 89 pages
This Brief provides a roadmap for the R language and programming environment with signposts to further resources and documentation. | |
 | Philipp K. Janert - Computers - 2010 - 540 pages
Collecting data is relatively easy, but turning raw information into something useful requires that you know how to extract precisely what you need. With this insightful book ... | |
 | Peter Dalgaard - Mathematics - 2008 - 370 pages
This book provides an elementary-level introduction to R, targeting both non-statistician scientists in various fields and students of statistics. The main mode of presentation ... | |
 | Nicholas J. Horton, Ken Kleinman - Mathematics - 2010 - 299 pages
Quick and Easy Access to Key Elements of Documentation Includes worked examples across a wide variety of applications, tasks, and graphicsUsing R for Data Management ... | |
 | Alan C. Elliott, Wayne A. Woodward - Social Science - 2014 - 278 pages
The updated Second Edition of Alan C. Elliott and Wayne A. Woodward’s "cut to the chase" IBM SPSS guide quickly explains the when, where, and how of statistical data analysis ... | |
| |
