R Companion for Sampling : Design and Analysis, Third Edition (Hardcover)

Getting Started Obtaining the Software Installing R packages R Basics Reading Data into R Saving Output Integrating R Output into LATEX Documents Missing Data Summary, Tips, and Warnings Simple Probability Samples Selecting a Simple Random Sample Computing Statistics from an SRS Additional Code for Exercises Summary, Tips, and Warnings Stratified Sampling Allocation Methods Selecting a Stratified Random Sample Computing Statistics from a Stratified Random Sample Estimating Proportions from a Stratified Random Sample Additional Code for Exercises Summary, Tips, and Warnings Ratio and Regression Estimation Ratio Estimation Regression Estimation Domain Estimation Poststratification Ratio Estimation with Stratified Sampling Model-Based Ratio and Regression Estimation Summary, Tips, and Warnings Cluster Sampling with Equal Probabilities Estimates from One-Stage Cluster Samples Estimates from Multi-Stage Cluster Samples Model-Based Design and Analysis for Cluster Samples Additional Code for Exercises Summary, Tips, and Warnings Sampling with Unequal Probabilities Selecting a Sample with Unequal Probabilities Sampling With Replacement Sampling Without Replacement Selecting a Two-stage Cluster Sample Computing Estimates from an Unequal-Probability Sample Estimates from With-Replacement Samples Estimates from Without-Replacement Samples Summary, Tips, and Warnings Complex Surveys Selecting a Stratified Two-Stage Sample Estimating Quantiles Computing Estimates from Stratified Multistage Samples Univariate Plots from Complex Surveys Scatterplots from Complex Surveys Additional Code for Exercises Summary, Tips, and Warnings Nonresponse How R Functions Treat Missing Data Poststratification and Raking Imputation Summary, Tips, and Warnings Variance Estimation in Complex Surveys Replicate Samples and Random Groups Constructing Replicate Weights Balanced Repeated Replication Jackknife Bootstrap Replicate Weights and Nonresponse Adjustments Using Replicate Weights from a Survey Data File Summary, Tips, and Warnings Categorical Data Analysis in Complex Surveys Contingency Tables and Odds Ratios Chi-Square Tests Loglinear Models Summary, Tips, and Warnings Regression with Complex Survey Data Straight Line Regression in an SRS Linear Regression for Complex Survey Data Multiple Linear Regression Using Regression to Compare Domain Means Logistic Regression Additional Resources and Code Summary, Tips, and Warnings Additional Topics for Survey Data Analysis Two-Phase Sampling Contents iii Estimating the Size of a Population Ratio Estimation of Population Size Loglinear Models with Multiple Lists Small Area Estimation Summary A Data Set Descriptions Bibliography Index