Stats.StandardANOVAPractice: Workflow of standard Analysis-of-variace practice
In minh2182000/MToolBox:

We test for difference in risk factors between the cohort groups. If the data passes both normality check and homogeneity check, we used one-way ANOVA test. If the data passes normality check but fails homogeneity check, we used Welch's one-way test. If the data fails normality check, we used Kruskal-Wallis test. Then, we use Tukey test to discover the pairs of cohorts that have significant difference.

1 2	Stats.StandardANOVAPractice(y, x, observe = TRUE, Thres.Normality = 0.05, Thres.Homogeneity = 0.05, Thres.Decision = 0.05)

`y`	vector of Groups, must be a factor
`x`	matrix or data frame of measures, should include column names
`observe`	if TRUE, wait for user to press enter through each step