Investigating Missing Children Cases

Although there are currently a wide variety of software packages suitable for the modern statistician, R has the triple advantage of being comprehensive, widespread, and free. Published in 2008, the second edition of Statistiques avec R enjoyed great success as an R guidebook in the French-speaking world. Translated and updated, R for Statistics includes a number of expanded and additional worked examples._x005F_x000D__x005F_x000D_Organized into two sections, the book focuses first on the R software, then on the implementation of traditional statistical methods with R. _x005F_x000D__x005F_x000D_Focusing on the R software, the first section covers:_x005F_x000D__x005F_x000D__x005F_x000D_Basic elements of the R software and data processing_x005F_x000D_Clear, concise visualization of results, using simple and complex graphs _x005F_x000D_Programming basics: pre-defined and user-created functions _x005F_x000D__x005F_x000D__x005F_x000D_The second section of the book presents R methods for a wide range of traditional statistical data processing techniques, including: _x005F_x000D__x005F_x000D__x005F_x000D__x005F_x000D_Regression methods_x005F_x000D_Analyses of variance and covariance _x005F_x000D_Classification methods_x005F_x000D_Exploratory multivariate analysis _x005F_x000D_Clustering methods_x005F_x000D_Hypothesis tests _x005F_x000D__x005F_x000D__x005F_x000D_After a short presentation of the method, the book explicitly details the R command lines and gives commented results. Accessible to novices and experts alike, R for Statistics is a clear and enjoyable resource for any scientist. _x005F_x000D__x005F_x000D_Datasets and all the results described in this book are available on the book‘s webpage at http://www.agrocampus-ouest.fr/math/RforStat