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.
This chapter contains articles describing statistical tests to use for comparing variances.
1 How this chapter is organized?
2 F-Test: Compare two variances in R
- What is F-test?
- When to you use the 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
5 Infos
This analysis has been performed using R statistical software (ver. 3.2.4).