In the Handbook we aim to give relatively brief and straightforward descriptions of how to conduct a range of statistical analyses using R. Each chapter deals with the analysis appropriate for one or several data sets. A brief account of the relevant statistical background is included in each ...
The popularity of the statistical environment R [1] has grown immensely in recent years. Functions for a vast number of statistical analyses, graphics and data processing are provided by the base system and thousands of add-on packages. This book aims to provide both novice and experienced ...
The new edition of this book provides an easily accessible introduction to the statistical analysis of network data using R. It has been fully revised and can be used as a stand-alone resource in which multiple R packages are used to illustrate how to conduct a wide range of network analyse...
Like the best-selling first two editions, A Handbook of Statistical Analyses using R, Third Edition provides an up-to-date guide to data analysis using the R system for statistical computing. The book explains how to conduct a range of statistical analyses, from simple inference to recursive pa...
Posted on April 27, 2017 Posted under data analysis, R Comments 2 Comments Load, Save, and .rda files A couple weeks ago I stumbled across a feature in R that I had never heard of before. The functions save(), load(), and the R file type .rda. The .rda files allow a user...
By using the by bibliometric method,this paper carries out the statistical analysis on the papers published by Xi'an Children's Hospital from 2004 to 2008,and based on this,analyzes the numbers of quantities,periodicals distribution,departments distribution and the authors situation,and probes into ...
This is a practical, step by step guide that will help you to quickly become proficient in the data analysis using R. The book is packed with clear examples, screenshots, and code to carry on your data analysis without any hurdle. If you are a data analyst, business or information ...
Analysis Using R: GEE 13.3.1 Beat the Blues Revisited To use the gee function, package gee (Carey et al., 2012) has to be installed and attached: R> library("gee") The gee function is used in a similar way to the lme function met in Chapter 12 with the addition of the features ...
Matrix programming– Powerful computer techniques for implementing your own statistical methods and exploratory data analysis using row operation algorithms. Statistical quality improvement– A mathematical approach to reviewing the quality and safety characteristics for all aspects of production. ...
Matrix programming– Powerful computer techniques for implementing your own statistical methods and exploratory data analysis using row operation algorithms. Statistical quality improvement– A mathematical approach to reviewing the quality and safety characteristics for all aspects of production. ...