2023년 7월 8일 토요일

Many miscellaneous tests in R

1. Things to know in advance

 

2. WHY

Shapiro-Wilk normality Test, Cramer-von Mises normality Test, Lilliefors (Kolmogorov-Smirnov) normality Test, Pearson chi-square normality Test, Shapiro-Francia normality Test, AndersonDarlingTest, Robust Jarque Bera Test, Bartels Ratio Test, Breusch-Godfrey Test, Cochran-Armitage Test, for trend Stuart-Maxwell Test, Cochran's Q Test, Conover's Test, of multiple comparisons Kruskal-Wallis rank sum Test, Log likelihood ratio (G-Test,) Test, Jonckheere-Terpstra Test, KendallTauA KendallTauB Moses Test, of Extreme Reactions Nemenyi's Test, of multiple comparisons Page Test, for ordered alternatives Friedman rank sum Test, Runs Test, for Randomness Wald Wolfowitz runs Test, Siegel-Tukey-Test, for equal variability Mood two-sample Test, of scale Ansari-Bradley Test, Dependent-samples Sign-Test, Wilcoxon signed rank Test, F Test, to compare two variances Fligner-Killeen Test, of homogeneity of variances Yuen Two Sample t-Test, Yuen Paired t-Test, Von Neumann Successive Difference Test,

 in R


 to save your Time, to save your Life
 Luke9:25 What good is it for a man to gain the whole world, and yet lose or forfeit his very self?

3. HOW


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