Here is a thorough and authoritative guide to the latest version of the S language and its programming environment. Programming With Data describes a new and greatly extended version of S, written by the chief designer of the language itself. It is a guide to the complete programming process, starting from simple, interactive use, and continuing through ambitious software projects. The focus is on the needs of the programmer/user, with the aim of turning ideas into software, quickly and faithfully. The new version of S provides a powerful class/method structure, new techniques to deal with...
Here is a thorough and authoritative guide to the latest version of the S language and its programming environment. Programming With Data describes a ...
Although statistical design is one of the oldest branches of statistics, its importance is ever increasing, especially in the face of the data flood that often faces statisticians. It is important to recognize the appropriate design, and to understand how to effectively implement it, being aware that the default settings from a computer package can easily provide an incorrect analysis. The goal of this book is to describe the principles that drive good design, paying attention to both the theoretical background and the problems arising from real experimental situations. Designs are motivated...
Although statistical design is one of the oldest branches of statistics, its importance is ever increasing, especially in the face of the data flood t...
R's most widespread role is its use by a large community of contributors to implement software for new results in statistics, for datarelated computational and graphical techniques, or for the specialization of statistics to particular application areas. These contributions extend R. Each contribution is potentially of substantial value for its users, and for its authors. This book aims to support the process of extending R, with the goal of creating R software that accurately and reliably expresses the author's intentions and uses the best available tools.
R's most widespread role is its use by a large community of contributors to implement software for new results in statistics, for datarelated compu...
