Statistics Tutorials & Templates
Preface
1
T-Test
1.1
Read the Data into R
1.2
Visualize the Data
1.3
Choose an Appropriate T-Test
1.4
Correctly Phrase the Results
1.5
Incorporating This in a Paper
2
Chi-Squared Test
2.1
Read the Data into R
2.2
Visualize the Data
2.3
Conduct a Chi-Squared Test
2.4
Correctly Phrase the Results
2.5
Incorporating This in a Paper
3
ANOVA
3.1
Read the Data into R
Reordering a Factor
3.2
Visualize the Data
3.3
Analyze the Data
Fit the Model
Perform Diagnostics
Dealing with Potential Outliers
Perform an Omnibus Test
Perform a Post Hoc Analysis
3.4
Correctly Phrase the Results
3.5
Incorporating This in a Paper
4
Two-Way & Multi-Way ANOVA
4.1
Read the Data into R
Reordering a Factor
4.2
Visualize the Data
4.3
Analyze the Data
Fit the Model
Perform Diagnostics
Dealing with Potential Outliers
Perform an Omnibus Test
Perform a Post Hoc Analysis
4.4
Correctly Phrase the Results
4.5
Incorporating This in a Paper
5
Linear Model
6
Generalized Linear Model
7
Mixed Model
8
GLMM
9
Exploration: PCA
9.1
Read the Data into R
10
Reading & Storing Data
10.1
Tidy Format
10.2
Separate Data Entry & Analysis
Excel Is Not Statistical Software
10.3
Meta Data
10.4
Reading Data as CSV
10.5
Reading Data from Excel
References
10.6
Quarto
10.7
Running Code
Untitled
Tutorial 7
Mixed Model
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