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Welcome
 Welcome to Inferential Statistics with R
 Introduction to the Dataset

ttests
 Independent ttest
 Dependent ttest

OneWay ANOVA
 OneWay ANOVA
 Post Hoc Comparisons
 Other ANOVA Tests

ChiSquare
 ChiSquare
 Dealing with Small Cells

Correlation
 Correlation

Regression
 Linear Regression
 Multiple Regression
 Hierarchical Regression

Reliability
 Reliability

Reporting Results
 Extracting Output
 Reporting Results

Testing Assumptions
 Testing Assumptions
 Testing for Normality
 Testing for Homogeneity of Variance
 Violated Assumptions
Inferential Statistics with R
Correlation
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This lesson is called Correlation, part of the Inferential Statistics with R course. This lesson is called Correlation, part of the Inferential Statistics with R course.
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Transcript
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Your Turn
Perform a correlation among the four ACT scores. Which two scales of the ACT have the highest correlation? Which two scales have the lowest correlation?
Learn More
Read more about the correlation functions in the rstatix package:
cor_mark_significant() to add significance levels
pull_triangle(), pull_upper_triangle(), and pull_lower_triangle()
cor_reorder() to reorder the matrix
cor_gather() and cor_spread() to reshape the correlation analysis results from matrix to list or vice versa
cor_as_symbols() to only show the symbols (e.g., ., +, *) in the matrix
cor_plot() to visualize the correlation matrix
For many other kinds of correlations (e.g., partial, Bayesian, multilevel, polychoric, biweight, percentage bend, Sheperd's Pi, distance), check out the correlation package.
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