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Multiple Linear Regression in R
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Classroom Contents
R Tutorials
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- 1 Downloading & Installing R & RStudio
- 2 Orientation to RStudio
- 3 Creating & Saving an R Script
- 4 Setting a Working Directory in R
- 5 Creating a Project in RStudio
- 6 Gentle Introduction to R
- 7 Orientation to Written Tutorials
- 8 Reading Data into R
- 9 Removing & Adding Variable Names in R
- 10 Arranging (Sorting) Data in R
- 11 Joining (Merging) Data in R
- 12 Writing Data from R
- 13 Filtering Data in R
- 14 Cleaning Data in R
- 15 Removing Objects from R Global Environment
- 16 Creating Tables in R
- 17 Manipulating & Restructuring Data in R
- 18 Descriptive Statistics in R
- 19 Internal Consistency Reliability in R
- 20 Creating Scale Scores in R
- 21 Aggregating & Segmenting Data in R
- 22 Creating PivotTables in R
- 23 Scatterplots in R
- 24 Correlation in R
- 25 Correlation Matrix in R
- 26 Independent-Samples t-test in R
- 27 Paired-Samples t-test in R
- 28 One-Way ANOVA in R
- 29 Evaluating 2x2 Mixed-Factorial Design Using Independent-Samples t-test in R
- 30 Centering & Standardizing Variables in R
- 31 Chi-Square Test of Independence in R
- 32 Estimating a Market Pay Line in R
- 33 Aging Market Survey Data in R
- 34 Applying Market Survey Weights in R
- 35 Hierarchical Linear Regression in R
- 36 Compa-Ratios & Pay Compression in R
- 37 Moderated Multiple Linear Regression in R
- 38 Path Analysis in R
- 39 Mediation Analysis in R
- 40 k-Fold Cross-Validation in R
- 41 Simple Linear Regression in R
- 42 Multiple Linear Regression in R
- 43 Logistic Regression in R
- 44 Survival Analysis in R
- 45 LASSO Regression in R (Part One)
- 46 LASSO Regression in R (Part Two)
- 47 Daily Diary Data Cleaning & Merging
- 48 Shiny Web Apps in R
- 49 Introduction to Text Analysis in R
- 50 Evaluating Disparate Adverse Impact Using 4/5ths Rule, Chi-Square Test, & Fisher Exact Test in R
- 51 Evaluating Disparate (Adverse) Impact Using Z-Difference-Test & Z-Impact-Ratio-Test in R
- 52 Visualizing Disparate (Adverse) Impact Using Bar Charts in R