Comparing Means of Two Groups in R

Lessons

1. T-test in R

   20 mins

   Alboukadel Kassambara

   This chapter describes how to compute and interpret the different t-test in R including: one-sample t-test, independent samples t-test and paired samples t-test.

2. Wilcoxon Test in R

   20 mins

   Alboukadel Kassambara

   This chapter describes how to compute and interpret the wilcoxon test in R. This test is a non-parametric alternative to the t-test for comparing two means. You will learn how to compute the different types of Wilcoxon tests in R, including: One-sample Wilcoxon signed rank test, Wilcoxon rank sum test and Wilcoxon signed rank test on paired samples. We will also show how to check the assumptions and compute effect size.

3. Sign Test in R

   10 mins

   Alboukadel Kassambara

   The Sign test is used to compare the medians of paired or matched observations. It is an alternative to the paired-samples t-test and the Wilcoxon signed-rank test in the situation, where the distribution of differences between paired data values is neither normal (in t-test) nor symmetrical (in Wilcoxon test). In this chapter, you will learn how to compute paired-samples sign test in R