Skip to content

Inferential Statistics with R

Extracting Output

This lesson is called Extracting Output, part of the Inferential Statistics with R course. This lesson is called Extracting Output, part of the Inferential Statistics with R course.

Transcript

Click on the transcript to go to that point in the video. Please note that transcripts are auto generated and may contain minor inaccuracies.

Your Turn

Perform a test of internal consistency using omega on the SWLS scale at time 1.
Extract the omega.tot information from the list. Round it to two decimals. What is your omega value?

Learn More

Read more about the tidy() function in the broom package.

Read more about $ and the two other ways that values from a list object can be pulled (e.g., [[‘item’]] and [‘list’]) from this StackOverflow answer.

Have any questions? Put them below and we will help you out!

You need to be signed-in to comment on this post. Login.

Course Content

21 Lessons

Welcome to Inferential Statistics with R

Introduction to the Dataset

Independent t-test

Dependent t-test

Post Hoc Comparisons

Other ANOVA Tests

Dealing with Small Cells

Linear Regression

Multiple Regression

Hierarchical Regression

Extracting Output

Reporting Results

Testing Assumptions

Testing for Normality

Testing for Homogeneity of Variance

Violated Assumptions

Wrapping Up Inferential Statistics with R