Beginning R: The Statistical Programming Language

Höfundur Mark Gardener

Útgefandi Wiley Professional Development (P&T)

Snið Page Fidelity

Print ISBN 9781118164303

Útgáfa 1

Útgáfuár 2012

2.690 kr.

Description

Efnisyfirlit

  • Contents
  • Introduction
  • Who This Book Is For
  • What This Book Covers
  • How This Book Is Structured
  • What You Need to Use This Book
  • Conventions
  • Source Code
  • Errata
  • p2p.wrox.com
  • Chapter 1: Introducing R: What It Is and How to Get It
  • Getting the Hang of R
  • Running the R Program
  • Finding Your Way with R
  • Command Packages
  • Summary
  • Chapter 2: Starting Out: Becoming Familiar with R
  • Some Simple Math
  • Reading and Getting Data into R
  • Viewing Named Objects
  • Types of Data Items
  • The Structure of Data Items
  • Examining Data Structure
  • Working with History Commands
  • Saving Your Work in R
  • Summary
  • Chapter 3: Starting Out: Working
  • Manipulating Objects
  • Viewing Objects within Objects
  • Constructing Data Objects
  • Forms of Data Objects: Testing and Converting
  • Summary
  • Chapter 4: Data: Descriptive Statistics and Tabulation
  • Summary Commands
  • Summarizing Samples
  • Summary Tables
  • Summary
  • Chapter 5: Data: Distribution
  • Looking at the Distribution of Data
  • Summary
  • Chapter 6: Simple Hypothesis Testing
  • Using the Student’s t-test
  • The Wilcoxon U-Test (Mann-Whitney)
  • Paired t- and U-Tests
  • Correlation and Covariance
  • Tests for Association
  • Summary
  • Chapter 7: Introduction to Graphical Analysis
  • Box-whisker Plots
  • Scatter Plots
  • Pairs Plots (Multiple Correlation Plots)
  • Line Charts
  • Pie Charts
  • Cleveland Dot Charts
  • Bar Charts
  • Copy Graphics to Other Applications
  • Summary
  • Chapter 8: Formula Notation and Complex Statistics
  • Examples of Using Formula Syntax for Basic Tests
  • Formula Notation in Graphics
  • Analysis of Variance (ANOVA)
  • Summary
  • Chapter 9: Manipulating Data and Extracting Components
  • Creating Data for Complex Analysis
  • Summarizing Data
  • Summary
  • Chapter 10: Regression (Linear Modeling)
  • Simple Linear Regression
  • Multiple Regression
  • Curvilinear Regression
  • Plotting Linear Models and Curve Fitting
  • Summarizing Regression Models
  • Summary
  • Chapter 11: More About Graphs
  • Adding Elements to Existing Plots
  • Matrix Plots (Multiple Series on One Graph)
  • Multiple Plots in One Window
  • Exporting Graphs
  • Summary
  • Chapter 12: Writing Your Own Scripts: Beginning to Program
  • Copy and Paste Scripts
  • Creating Simple Functions
  • Making Source Code
  • Summary
  • Appendix: Answers to Exercises
  • Chapter 1
  • Chapter 2
  • Chapter 3
  • Chapter 4
  • Chapter 5
  • Chapter 6
  • Chapter 7
  • Chapter 8
  • Chapter 9
  • Chapter 10
  • Chapter 11
  • Chapter 12
  • Index
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