Introducing R Princeton University（介绍R 普林斯顿大学）.pdf

Introducing R Germán Rodríguez (grodri@) Princeton University Spring 2001, last updated Fall 2012 Online version at /R Table of Contents 1 Introduction 4 Linear Models 1.1 The R Language and Environment 4.1 Fitting a Model 1.2 Bibliographic Remarks 4.2 Examining a Fit 4.3 Extracting Results 2 Getting Started 4.4 Factors and Covariates 2.1 The R Console 4.5 Regression Splines 2.2 Expressions and Assignments 4.6 Other Options 2.3 Vectors and Matrices 2.4 Simple Graphs 5 Generalized Linear Models 5.1 Variance and Link Families 3 Reading Data 5.2 Logistic Regression 3.1 Lists and Data Frames 5.3 Updating Models 3.2 Free-Format Input 5.4 Model Selection 3.3 Fixed-Format Input 3.4 Printing Data and Summaries 6 Conclusion 3.5 Plotting Data References 1 Introduction R is a powerful environment for statistical computing which runs on several platforms. These notes are written especially for users running the Windows version, but most of the material applies to the Mac and Linux versions as well. 1.1 The R Language and Environment R was first written as a research project by Ross Ihaka and Robert Gentleman, and is now under active development by a group of statisticians called the R core team, with a home page at . R was designed to be not unlike the S