Previously, we described the essentials of R programming and provided quick start guides for importing data into R. Additionally, we described how to compute descriptive or summary statistics, correlation analysis, as well as, how to compare sample means using R software.
1 How this chapter is organized?
2 F-Test: Compare two variances in R
- What is F-test?
- When to you use F-test?
- Research questions and statistical hypotheses
- Formula of F-test
- Compute F-test in R
Read more: —> F-Test: Compare Two Variances in R.
3 Compare multiple sample variances in R
This article describes statistical tests for comparing the variances of two or more samples.
- Compute Bartlett’s test in R
- Compute Levene’s test in R
- Compute Fligner-Killeen test in R
Read more: —> Compare Multiple Sample Variances in R.
4 See also
This analysis has been performed using R statistical software (ver. 3.2.4).
Show me some love with the like buttons below... Thank you and please don't forget to share and comment below!!
Montrez-moi un peu d'amour avec les like ci-dessous ... Merci et n'oubliez pas, s'il vous plaît, de partager et de commenter ci-dessous!
Recommended for You!
R Graphics Essentials for Great Data Visualization: 200 Practical Examples You Want to Know for Data Science
Want to Learn More on R Programming and Data Science?
Follow us by Email On Social Networks:
Click to follow us on Facebook and Google+ :
Comment this article by clicking on "Discussion" button (top-right position of this page)
Articles contained by this category :
Compare Multiple Sample Variances in R
F-Test: Compare Two Variances in R