An R Companion for Applied Statistics I (eBook)

Basic Bivariate Techniques

Danney Rasco (Autor)

eBook Download: EPUB

2020
256 Seiten
Sage Publications, Inc (Verlag)
978-1-0718-0629-6 (ISBN)

Inhalt

Preface
Acknowledgments
About the Author
Chapter 1: Introduction: What is R?
Downloading R and RStudio
Creating a Project Folder
Getting Acquainted with the RStudio Environment
Appendix 1A: Preparing RStudio Project Folder
Chapter 2: Basic Tasks in R
Coding in R: Object-Oriented Programming
Creating Data
Exporting Data
Importing Data
Converting Variables
Summary of Key Functions
Chapter 3: Frequency Tables
Frequency Tables with Quantitative Variables
Appendix 3A: R Instructions to Accompany Warner (2020a)
Chapter 4: Descriptive Statistics
Describing Central Tendency
Describing Variability
Appendix 4A: R Instructions to Accompany Warner (2020a)
Appendix 4B: Mode Function
Chapter 5: Visualizing Data: Bar Charts, Histograms, and Boxplots
Visualizing Categorical Variables
Visualizing Quantitative Variables
Visualizing and Accounting for a Second Variable
Appendix 5A: R Instructions to Accompany Warner (2020a)
Chapter 6: Evaluating Score Locations: Introducing the Normal Distribution and z Scores
Getting Familiar With New Data Frames and Variables
Cumulative Percentage
z Scores
Addressing Normality
Appendix 6A: R Instructions to Accompany Warner (2020a)
Chapter 7: Sampling Error and Confidence Intervals
Monte Carlo Simulations
Confidence Intervals
Appendix 7A: R Instructions to Accompany Warner (2020a)
Chapter 8: One-Sample t Test: Introduction to Statistical Significance Tests
Checking Assumptions
Performing One-Sample t Tests
Presenting Results
Considering Alternatives
Appendix 8A: R Instructions to Accompany Warner (2020a)
Appendix 8B: One-Sample z Test
Chapter 9: Significance Tests Continued: Effect Size and Power
Estimating the Needed Sample Size
Estimating the Obtained Power
Chapter 10: Bivariate Pearson Correlation
Checking Assumptions
Performing Pearson′s Bivariate Correlation
Considering Alternatives
Appendix 10A: R Instructions to Accompany Warner (2020a)
Chapter 11: Bivariate Regression
Checking Assumptions
Performing Bivariate Regression
Appendix 11A: R Instructions to Accompany Warner (2020a)
Chapter 12: Independent-Samples t Test
Checking Assumptions
Performing Independent-Samples t Tests
Presenting Results
Considering Alternatives
Appendix 12A: R Instructions to Accompany Warner (2020a)
Appendix 12B: Wilcoxon-Mann-Whitney U Test
Chapter 13: One-Way Between-Subjects Analysis of Variance
Checking Assumptions
Performing One-Way Between-Subjects ANOVA Tests
Presenting Results
Considering Alternatives
Appendix 13A: R Instructions to Accompany Warner (2020a)
Chapter 14: Paired-Samples t Test
Checking Assumptions
Performing Paired-Samples t Tests
Presenting Results
Considering Alternatives
Appendix 14A: R Instructions to Accompany Warner (2020a)
Chapter 15: One-Way Repeated-Measures Analysis of Variance
Checking Assumptions
Performing One-Way Repeated-Measures ANOVA Tests
Presenting Results
Considering Alternatives
Appendix 15A: R Instructions to Accompany Warner (2020a)
Chapter 16: Factorial Analysis of Variance
Checking Assumptions
Performing Two-Way Between-Subjects ANOVA Tests
Presenting Results
Considering Alternatives
Appendix 16A: R Instructions to Accompany Warner (2020a)
Appendix 16B: Converting Education Variable to Dichotomous Variable
Chapter 17: Chi-Square (?2) Test of Independence
Checking Assumptions
Performing Chi-Square (?2) Tests of Independence
Presenting Results
Considering Alternatives
Appendix 17A: R Instructions to Accompany Warner (2020a)
Chapter 18: Parting THoughts About R
Moving Forward
Continuing to Learn R
References

Produkt-Details

• Erscheint lt. Verlag: 28.1.2020
• Verlagsort: Thousand Oaks
• Sprache: englisch
• Themenwelt: Geisteswissenschaften ► Psychologie
• Themenwelt: Mathematik / Informatik ► Mathematik ► Statistik
• Themenwelt: Naturwissenschaften
• Themenwelt: Sozialwissenschaften ► Soziologie ► Empirische Sozialforschung
• Schlagworte: An R Companion for Applied Statistics I: Basic Bivariate Techniques • Bivariate Statistics • Danney Rasco • ggplot • introduction to statistics • Rasco • R software • RStudio
• ISBN-10: 1-0718-0629-7 / 1071806297
• ISBN-13: 978-1-0718-0629-6 / 9781071806296