Conclusion
With all of that, we have ammo to take care of our data! We will see in our next class how to make beautiful sexy graphs to show our results! And in the next one, the fun stuff: how to create our own function to take care of questions with methods not readily available in R! See you next time!
PS: Let’s save this workspace, so we can use it for our other courses:
save.image(file = "OurWholeData(3).RData")INTRODUCTION
No, don't run away! It will be fine. Stats are cool.
ANOVA
Comparing the mean of more than two samples
CHI SQUARE TEST
*cue "Ride of the Valkyries"
STUDENT’S T-TESTS
Comparing the mean of two samples
KRUSKAL-WALLIS RANK SUM TEST
Comparing more than two samples with a non-parametric test
FISHER’S EXACT TEST
Comparing several observed distribution
WILCOXON TESTs
Comparing two samples with a non-parametric test
BINOMIAL TEST
Comparing observed percentages to theoretical probabilities
CORRELATION AND REGRESSION
Correlation, regression and GLM!
