A guide to using the power of S-PLUS to perform statistical analyses, providing both an introduction to the program and a course in modern statistical methods. Readers are assumed to have a basic grounding in statistics, thus the book is intended for would-be users, as well as students and researchers using statistics. Throughout, the emphasis is on presenting practical problems and full analyses of real data sets, with many of the methods discussed being modern approaches to topics such as linear and non-linear regression models, robust and smooth regression methods, survival analysis, multivariate analysis, tree-based methods, time series, spatial statistics, and classification. This second edition is intended for users of S-PLUS 3.3, or later, and covers both Windows and UNIX. It treats the recent developments in graphics and new statistical functionality, including bootstraping, mixed effects linear and non-linear models, factor analysis, and regression with autocorrelated errors. The authors have written several software libraries which enhance S-PLUS, and these, plus all the datasets used, are available on the Internet.... 326, 361 scatterplot, 74 matrix, 76 Smoothers, 324a327 schur, 60 screen, 79, 512 Screens, 78 screeplot, 384 se. contrast, 211 search, ... 70, 72, 77, 513 spline, 12, 321, 326 splines, 321, 324, 378 interpolating, 326 smoothing, 326 split, 459, 513 split-plot experiments, 300, ... see Dataset heart stars, 70 starting under Unix, 4 under Windows, 8 state. name, 43 state. x77, see Datasets statistical tables, 164anbsp;...
|Title||:||Modern Applied Statistics with S-PLUS|
|Author||:||William N. Venables, Brian D. Ripley|
|Publisher||:||Springer Science & Business Media - 2013-11-11|