| Statistical Topic | Example in SAS Code
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Example in R Code
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| Regression with Qualitative Predictors |
SAS example: (Insurance Innovation data & Shirt data)
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R example: (Insurance Innovation data & Shirt data)
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| Single-Factor ANOVA |
SAS example: (Kenton Foods data)
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R example: (Kenton Foods data)
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| Regression Approach to ANOVA model |
SAS example: (Kenton Foods data)
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R example: (Kenton Foods data)
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| Investigation of Treatment Means |
SAS example: (Kenton Foods data)
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R example: (Kenton Foods data)
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| Checking ANOVA Model Assumptions |
SAS example: (Kenton Foods data)
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R example: (Kenton Foods data)
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| Two-Factor ANOVA |
SAS example: (Castle Bakery data)
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R example: (Castle Bakery data)
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Investigation of Factor Effects
(No Interaction) |
SAS example: (Castle Bakery data)
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R example: (Castle Bakery data)
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Investigation of Factor Effects
(With Interaction) |
SAS example: (Melon data)
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R example: (Melon data)
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| Power Calculations for Two-way ANOVA |
SAS example: (Power/sample size example)
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Two-Factor ANOVA With
One Observation per Cell |
SAS example: (Insurance data)
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R example: (Insurance data)
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| Three-Factor ANOVA |
SAS example: (stress data)
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R example: (stress data)
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Two-Factor ANOVA With
Unequal Cell Sample Sizes |
SAS example: (Growth data)
(SAS example includes empty-cell analysis)
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R example: (Growth data)
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| Random-Effects Model |
SAS example: (Apex Enterprises data)
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R example: (Apex Enterprises data)
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| Mixed-Effects Model |
SAS example: (training data)
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R example: (training data)
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| Mixed-Effects Model with Unbalanced Data |
SAS example: (Sheffield data)
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| Randomized Complete Block Design |
SAS example: (executive data)
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R example: (executive data)
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| Generalized Random Block Design |
SAS example: (task completion data)
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R example: (task completion data)
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| Balanced Incomplete Block Design |
SAS example: (taste test data)
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R example: (taste test data)
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| Latin Square Design |
SAS example: (bank teller data)
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R example: (bank teller data)
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| Single-Factor Repeated Measures |
SAS example: (wine judging data)
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R example: (wine judging data)
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| Two-Factor Repeated Measures |
SAS example: (shoe data)
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| Repeated Measures: Different Approaches |
SAS example: (dental data)
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| Repeated Measures: Using PROC MIXED |
SAS example: (shoe data again)
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Distribution-free Tests in ANOVA
(Kruskal-Wallis Test & multiple comparisons) |
SAS example: (soil data)
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R example: (soil data)
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Distribution-free Tests for RCBD
(Friedman Test) |
SAS example: (soybean data)
SAS example: (windspeed data)
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R example: (soybean data)
R example: (windspeed data)
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| Analysis of Covariance |
SAS example: (cracker data)
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R example: (cracker data)
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| Nested Design |
SAS example: (training school data)
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R example: (training school data)
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| Weighted Least Squares |
SAS example (blood pressure data)
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R example (blood pressure data)
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| Ridge and LASSO Regression |
SAS example (body fat data)
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R example (body fat data)
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| Robust Regression |
SAS example (math proficiency data)
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R example (math proficiency data)
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| Bootstrap in Regression |
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R example: (Toluca and blood pressure data)
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| Piecewise Regression |
SAS example: (raw materials data)
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R example: (raw materials data)
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| Nonlinear Regression |
SAS example (injured patients data)
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R example (injured patients data)
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| Simple Logistic Regression |
SAS example (programming task data)
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R example (programming task data)
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| Multiple Logistic Regression |
SAS example (disease outbreak data)
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R example (disease outbreak data)
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| Poisson (Count) Regression |
SAS example (Miller lumber data)
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R example (Miller lumber data)
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Nonparametric Regression:
Kernel Regression |
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R example (simulated & Old Faithful data)
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Nonparametric Regression:
Regression with Splines |
SAS example (simulated data)
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R example (simulated & Old Faithful data)
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| Regression Trees and Random Forests |
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R example (Boston housing & admissions data)
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| Regression with Time Series |
SAS example (Blaisdell data)
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R example (Blaisdell data)
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| Missing Data Methods |
SAS example (Dental and NLS with missing data)
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R example (NLS with missing data)
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1 × 2 Contingency Tables
(Inference about binomial probability)
(z-test/CI and Binomial test) |
SAS example: (driver's test data)
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R example: (driver's test data)
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1 × c Contingency Tables
(Inference about multinomial probabilities)
(Chi-square goodness-of-fit test) |
SAS example: (blood types data)
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R example: (blood types data)
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2 × 2 Contingency Tables
(Comparing 2 proportions, independent samples)
(z-test/CI and Fisher's Exact test) |
SAS example: (trees data)
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R example: (trees data)
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2 × 2 Contingency Tables
(Comparing 2 proportions, paired samples)
(McNemar's test) |
SAS example: (ice cream data)
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R example: (ice cream data)
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r × c Contingency Tables
(Chi-square test for independence &
Chi-square test for homogeneity) |
SAS example: (snoring data & voter data)
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R example: (snoring data & voter data)
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| Loglinear Models |
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R example (various data sets)
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| Multicategory Logistic Regression |
SAS example (pregnancy duration data set)
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