Is Wilcoxon test appropiate for the comparison of large, independent, nonnormal datasets?
5 次查看(过去 30 天)
显示 更早的评论
Hi all!
I am using 'ranksum' function (Wilcoxon test) to compare two independent, nonnormal, large data sets. However, p-value is 0 I think because of the effect of large data size. Any other test statistics that may handle such a large population analysis?
Thanks in advance :)
0 个评论
采纳的回答
Star Strider
2024-8-17
Since we’re likely discussing the lognormally distributed data you previously described, and since this is an unpaired comparision, ranksum is appropriate. A p value of 0 is an excellent result if you want to demonstrate that any two results ar different, since that indicates that they are and that the calculated probability is below the ability of floating-point arithmetic to calculate any other value (
).
2 个评论
Star Strider
2024-8-17
As always, my pleasure!
Using ranksum is correct for a comparison of two vectors. I would use multcompare specifying 'friedman' in the ‘stats’ structure to do multiple comparisons. For 'CriticalValueType', I was always taught to use 'scheffe', however that may reflect the comparisons I was doing.
更多回答(0 个)
另请参阅
类别
在 Help Center 和 File Exchange 中查找有关 Analysis of Variance and Covariance 的更多信息
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!