The Third Edition of An R Companion to Political Analysis by Philip H. Pollock III and Barry C. Edwards teaches your students to conduct research with R, the open-source programming language for statistical computing and graphics. This workbook offers the same easy-to-use style as other Companions, tailored for R.
The Third Edition of An R Companion to Political Analysis by Philip H. Pollock III and Barry C. Edwards teaches your students to conduct research with R, the open-source programming language for statistical computing and graphics. This workbook offers the same easy-to-use style as other Companions, tailored for R.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Philip H. Pollock III is a professor of political science at the University of Central Florida. He has taught courses in research methods at the undergraduate and graduate levels for more than thirty years. His main research interests are American public opinion, voting behavior, techniques of quantitative analysis, and the scholarship of teaching and learning. His recent research has been on the effectiveness of Internet-based instruction. Pollock's research has appeared in the American Journal of Political Science, Social Science Quarterly, and the British Journal of Political Science. Recent scholarly publications include articles in Political Research Quarterly, the Journal of Political Science Education, and PS: Political Science and Politics.
Inhaltsangabe
Chapter 1: Using R for Data Analysis Chapter 2: Descriptive Statistics Chapter 3: Creating and Transforming Variables Chapter 4: Making Comparisons Chapter 5: Graphing Relationships and Describing Patterns Chapter 6: Random Assignment and Sampling Chapter 7: Making Controlled Comparisons Chapter 8: Foundations of Statistical Inference Chapter 9: Hypothesis Tests with One or Two Samples Chapter 10: Chi-Square Test and Analysis of Variance Chapter 11: Correlation and Bivariate Regression Chapter 12: Multiple Regression Chapter 13: Analyzing Regression Residuals Chapter 14: Logistic Regression Chapter 15: Doing Your Own Political Analysis
Chapter 1: Using R for Data Analysis Chapter 2: Descriptive Statistics Chapter 3: Creating and Transforming Variables Chapter 4: Making Comparisons Chapter 5: Graphing Relationships and Describing Patterns Chapter 6: Random Assignment and Sampling Chapter 7: Making Controlled Comparisons Chapter 8: Foundations of Statistical Inference Chapter 9: Hypothesis Tests with One or Two Samples Chapter 10: Chi-Square Test and Analysis of Variance Chapter 11: Correlation and Bivariate Regression Chapter 12: Multiple Regression Chapter 13: Analyzing Regression Residuals Chapter 14: Logistic Regression Chapter 15: Doing Your Own Political Analysis
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