11.3 Basic Multiple Logistic Regression Commands.11.2 Data Prep for Multiple Logistic Regression.11.1 Packages Needed for Multiple Logistic Regression.10.10 Consolidated Code for Multiple OLS Regression.10.9 Modeling and Graphing Interactions for Multiple OLS Regression.10.8 Graphing Margins (Predicted Values) for Multiple OLS Regression.10.7 Graphing Coefficients and CIs for Multiple OLS Regression. 10.6 Producing Formatted Tables of Multiple OLS Regression Results.10.5 Outliers - Identifying and Excluding.10.4 Diagnostic Plots for Multiple OLS Regression.10.2 Data Prep for Multiple OLS Regression.10.1 Packages Needed for Multiple OLS Regression.9.5 Consolidated Code for Correlation and Simple OLS Regression.9.4.3 Scatterplot Matrix and Correlation Matrix.9.4.2 Correlogram for Correlation Matrix.9.1 Packages Needed for Correlation and Simple OLS Regression.9 Correlation and Simple OLS Regression.8.3 Cross-Tabulation, Chi-Square Test of Independence, and Effect Size.7.4 The Analysis of Variance and Effect Size.7.3.2 Checking Equal Variances for ANOVA.7.3 Checking Data for Violations of Assumptions for ANOVA.6.5 Wilcoxon/Mann-Whitney Rank Sum Test.6.4 T-Test Command (two sample test of group means) and Effect Size.6.3.2 Checking for Equal Variances for T-Test.6.3 Checking Data for Violations of Assumptions for T-Test.5.4 Generating a Summary Statistics Table.5.1 Packages Needed for Descriptive Statistics and Data Visualization.5 Descriptive Statistics and Data Visualization.4.4 Subsetting Data and Imposing Conditions.4.1 Packages Needed for Data Preparation.3 Learning by Using the Generic Scripts.2.2 Step-by-Step Instructions for Getting Up and Running.2 Getting Up and Running with R and RStudio.
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