R Companion to Political Analysis 2nd Edition Pollock III Test Bank
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R Companion to Political Analysis 2nd Edition Pollock III Test Bank.
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Product details:
- ISBN-10 : 1506368840
- ISBN-13 : 978-1506368849
- Author:
Table of contents:
List of Boxes and Figures
Preface
A Quick Reference Guide to R Companion Functions
Introduction: Getting Acquainted with R About R Installing R A Quick Tour of the R Environment Objects Functions Getting Help Exercises
Chapter 1: The R Companion Package Running Scripts Ten Tips for Writing Good R Scripts Managing R Output: Graphics and Text Additional Software for Working with R Debugging R Code Exercises
Chapter 2: Descriptive Statistics Interpreting Measures of Central Tendency and Variation Describing Nominal Variables Describing Ordinal Variables Describing the Central Tendency of Interval Variables Describing the Dispersion of Interval Variables Obtaining Case-Level Information Exercises
Chapter 3: Transforming Variables Applying Mathematical and Logical Operators to Variables Creating Indicator Variables Changing Variable Classes Adding or Modifying Variable Labels Collapsing Variables into Simplified Categories Centering or Standardizing a Numeric Variable Creating an Additive Index Exercises
Chapter 4: Making Comparisons Cross-Tabulations and Mosaic Plots Line Charts Mean Comparison Analysis Box Plots Strip Charts Exercises
Chapter 5: Making Controlled Comparisons Cross-Tabulation Analysis with a Control Variable Multiple Line Charts The legend Function Mean Comparison Analysis with a Control Variable Exercises
Chapter 6: Making Inferences about Sample Means Finding the 95 Percent Confidence Interval of the Population Mean Testing Hypothetical Claims about the Population Mean Making Inferences about Two Sample Means Making Inferences about Two Sample Proportions Exercises
Chapter 7: Chi-Square and Measures of Association Analyzing an Ordinal-Level Relationship Analyzing an Ordinal-Level Relationship with a Control Variable Analyzing a Nominal-Level Relationship with a Control Variable Exercises
Chapter 8: Correlation and Linear Regression Correlation Analysis Bivariate Regression with a Dummy Variable Bivariate Regression with an Interval-Level Independent Variable Multiple Regression Analysis Multiple Regression with Ordinal or Categorical Variables Weighted Regression with a Dummy Variable Multiple Regression Analysis with Weighted Data Weighted Regression with Ordinal or Categorical Independent Variables Creating Tables of Regression Results Exercises
Chapter 9: Visualizing Correlation and Regression Analysis Visualizing Correlation General Comments about Visualizing Regression Results Plotting Multiple Regression Results Interaction Effects in Multiple Regression Visualizing Regression Results with Weighted Data Special Issues When Plotting Observations with Limited Unique Values Exercises
Chapter 10: Logistic Regression Thinking about Odds, Logged Odds, and Probabilities Estimating Logistic Regression Models Interpreting Logistic Regression Results with Odds Ratios Visualizing Results with Predicted Probabilities Curves Probability Profiles for Discrete Cases Model Fit Statistics for Logistic Regressions An Additional Example of Multivariable Logistic Regression Exercises
Chapter 11: Doing Your Own Political Analysis Seven Doable Ideas Importing Data Writing It Up
Appendix Table A.1 Alphabetical List of Variables in the GSS Dataset Table A.2 Alphabetical List of Variables in the NES Dataset Table A.3 Alphabetical List of Variables in the States Dataset Table A.4 Alphabetical List of Variables in the World Dataset
About the Authors
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