An R companion for applied statistics I : basic bivariate techniques /: basic bivariate techniques. (2020)

• Record Type: Book
• Further Information: Note: Danney Rasco.
• Authors: Rasco, Danney
• Contents: Chapter 1: Introduction: What is R?; Downloading R and RStudio; Creating a Project Folder; Getting Acquainted with the RStudio Environment; Summary of Key Functions; 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; Summary of Key Functions; Chapter 4: Descriptive Statistics; Describing Central Tendency; Describing Variability; Summary of Key Functions; Chapter 5: Visualizing Data: Bar Charts, Histograms, and Boxplots; Visualizing Categorical Variables; Visualizing Quantitative Variables; Visualizing and Accounting for a Second Variable; Summary of Key Functions; Chapter 6: Evaluating Score Locations: Introducing the Normal Distribution and Z Scores; Getting Familiar with New Data Frame and Variables; Cumulative Percentage; z Scores; Addressing Normality; Summary of Key Functions; Chapter 7: Sampling Error and Confidence Intervals; Monte Carlo Simulations; Confidence Intervals; Summary of Key Functions; Chapter 8: One Sample t Test: Introduction to Statistical Significance Tests; Checking Assumptions; Performing One-Sample t Tests; Presenting Results; Considering Alternatives; Summary of Key Functions; Chapter 9: Significance Tests Continued: Effect Size and Power; Estimating the Needed Sample Size; Estimating the Obtained Power; Summary of Key Functions; Chapter 10: Bivariate Pearson Correlation; Checking Assumptions; Performing Pearson's Bivariate Correlation; Considering Alternatives; Summary of Key Functions; Chapter 11: Bivariate Regression; Checking Assumptions; Performing Bivariate Regression; Chapter 12: Independent-Samples t Test; Checking Assumptions; Performing Independent-Samples t Tests; Presenting Results; Considering Alternatives; Summary of Key Functions; Chapter 13: One-Way Between-Subjects Analysis of Variance; Checking Assumptions; Performing One-Way Between-Subjects ANOVA Tests; Presenting Results; Considering Alternatives; Summary of Key Functions; Chapter 14: Paired-Samples t Test; Checking Assumptions; Performing Paired-Samples t Tests; Presenting Results; Considering Alternatives; Summary of Key Functions; Chapter 15: One-Way Repeated-Measures ANOVA Tests; Checking Assumptions; Performing One-Way Repeated-Measures ANOVA Tests; Presenting Results; Considering Alternatives; Summary of Key Functions; Chapter 16: Factorial Analysis of Variance; Checking Assumptions; Performing Two-Way Between-Subjects ANOVA Tests; Presenting Results; Considering Alternatives; Summary of Key Functions; Chapter 17: Chi Square Test of Independence; Checking Assumptions; Performing Chi Square Tests of Independence; Presenting Results; Considering Alternatives; Chapter 18: Parting THoughts About R; Moving Forward; Continuing to Learn R;
• Edition: 1st
• Publisher Details: Los Angeles : SAGE
• Publication Date: 2020
• Extent: 1 online resource
• Subjects: 519.502855133; R (Computer program language); Statistics -- Computer programs; Statistics -- Data processing
• Languages: English
• ISBNs: 9781071806302
• Notes: Note: Description based on CIP data; resource not viewed.
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