If you would like to see brief descriptions of each analysis to help decide what tests are most appropriate for your study, please click here: Brief Methods Description

Getting Started – Univariate Analyses

Analysis

R Link

SAS Link

Descriptive Statistics

Levene’s Test for Homogeneity of Variance

Normality Tests

Side-by-Side Boxplots

ANOVA and ANCOVA

Analysis

R Link

SAS Link

ANOVA

One-way ANOVA

Two-way ANOVA

Three-way ANOVA

ANCOVA

One-way ANCOVA

Two-way ANCOVA

Repeated Measures ANOVA

Multivariate Repeated Measures ANOVA

Repeated Measures Mixed Model ANOVA

Single Factor Repeated Measures Mixed Model ANOVA

Bivariate Analysis (Two Variables)

Analysis

R Link

SAS Link

General Information

Flow Chart of Continuous by Categorical Tests

Two Continuous Variables

Correlation

Simple Linear Regression

Two Categorical Variables

Chi-Square Analysis and Fisher's Exact Test

McNemar's Test

Conhran's Q

Continuous by Categorical Parametric Tests

One-Way ANOVA

One-Way ANOVA with Repeated Measures

Paired T-test

Two-Independent Samples T-test

Continuous by Categorical Nonparametric Tests

Friedman's Test

Kruskal-Wallis Test

Mann-Whitney U Test

Wilcoxon Signed-Rank Test

Design of Experiments using Mixed Models

Analysis

R Link

SAS Link

General Information

Definitions

Completely Randomized Design (CRD)

CRD Single Factor

CRD Factorial

CRD Nested

CRD Split Plot

CRD Split-Split Plot

CRD Split Plot with Experimental Unit Sampling

CRD Split Plot with Experimental Unit Sampling and Subsampling

Randomized Complete Block Design (RBD)

RBD Single Factor

RBD Factorial

RBD Nested

RBD Split Plot

RBD Split-Split Plot

RBD Split Plot with Experimental Unit Sampling

RBD Split Plot with Experimental Unit Sampling and Subsampling

RBD Strip Plot

Unresolvable Incomplete Block Design (IBD)

IBD Single Factor

IBD Factorial

IBD Nested

IBD Split Plot

IBD Split-Split Plot

IBD Split Plot with Experimental Unit Sampling

IBD Split Plot with Experimental Unit Sampling and Subsampling

Multilevel Mixed Models / Hierarchical Linear Models