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Data Analysis with R
Introduction
Opening Lecture (Read This First)
Data Manipulation in R
Filtering Data Using Brackets (7:56)
Filtering Data with Dplyr (4:03)
Recoding Categorical Variables (5:46)
Recoding Continuous Variables (5:04)
Sorting Data Frames (4:10)
Compute New Variables (1:52)
Descriptive Statistics
Using Base R to Generate Statistical Indicators (3:36)
Descriptive Statistics with the Psych Package (3:42)
Descriptive Statistics with the Pastecs Package (4:56)
Determining the Skewness and Kurtosis (1:35)
Computing Quantiles (2:15)
Determining the Mode (1:29)
Getting the Statistical Indicators by Group with DescribeBy (2:42)
Getting the Statistical Indicators by Group with Stats (4:29)
Create Frequency Tables and Cross Tables
Frequency Tables in Base R (6:40)
Frequency Tables with plyr (5:00)
Building Cross Tables using with and xtabs (1:24)
Building Cross Tables with CrossTable (4:20)
Building Charts with the ggplot2 Package
Histograms (7:08)
Cumulative Frequency Line Charts (11:20)
Column Charts (5:36)
Scatterplot Charts (11:22)
Boxplot Charts (6:02)
Checking Assumptions
Checking the Normality Assumption - Numerical Method (2:22)
Checking the Normality Assumptions - Graphical Methods (3:36)
Detecting Outliers (2:05)
One-Sample Tests
One-Sample T Test (3:41)
Binomial Test (6:07)
Chi-Square Test For Goodness-of-Fit (7:08)
Tests of Association
Pearson Correlation (4:05)
Spearman and Kendall Correlation (5:25)
Partial Correlation (3:54)
Chi-Square Test For Association (5:42)
Mean Difference - Parametric Tests
Independent-Sample T Test (7:56)
Paired-Sample T Test (3:54)
Oneway ANOVA (13:04)
Twoway ANOVA - Basics (6:12)
Twoway ANOVA - Simple Main Effects (14:11)
Threeway ANOVA - Basics (6:31)
Threeway ANOVA - Simple Second Order Interaction Effects (3:58)
Threeway ANOVA - Simple Main Effects (7:30)
Oneway MANOVA (10:19)
Analysis of Covariance (11:59)
ANCOVA Checking Assumptions (6:31)
Within-Subjects ANOVA (15:04)
Within-Subjects ANOVA - Paired Comparisons (5:11)
Within-Within Subjects ANOVA (13:45)
Within-Within Subjects ANOVA - Main Effects (1) (10:01)
Within-Within Subjects ANOVA - Main Effects (2) (8:45)
Mixed ANOVA (15:57)
Mixed ANOVA - Main Effects (8:35)
Mean Difference - Nonparametric Tests
Mann-Whitney Test (3:35)
Wilcoxon Test (3:21)
Kruskal-Wallis Test (3:19)
Friedman Test (2:18)
Linear Regression Analysis
Multiple Linear Regression - Basics (7:54)
Multiple Linear Regression - Checking Assumptions (10:16)
Multiple Regression with Dummy Variables (3:01)
Sequential Regression (5:27)
Logistic Regression
Binomial Regression (13:51)
Binomial Regression - Goodness-of-Fit Measures (3:37)
Multinomial Regression (8:23)
Multinomial Regression - Coefficients (9:44)
Multinomial Regression - Goodness-of-Fit Measures (4:17)
Ordinal Regression (11:58)
Ordinal Regression - Coefficients (4:51)
Ordinal Regression - Goodness-of-Fit Measures (4:15)
Ordinal Regression - Assumption of Proportional Odds (1:46)
Reliability Analysis
Cronbach's Alpha (2:49)
Cohen's Kappa (4:16)
Kendall's W (2:16)
Grouping Methods
Multidimensional Scaling - Data Are Not Distances (6:03)
Multidimensional Scaling - Data Are Distances (4:51)
Factor Analysis Basics (9:43)
Factor Analysis - Sample Adequacy Measures (3:08)
Simple Correspondence Analysis (10:43)
Multiple Correspondence Analysis (9:21)
Hierarchical Cluster (8:32)
K-Means Cluster (12:37)
Simple Discriminant Analysis (13:14)
Multiple Discriminant Analysis (11:17)
Course Materials
Practical Exercises
Data Frames
Code Files
Getting the Statistical Indicators by Group with Stats
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