The categories in the Factor Group
Descriptive statistics by group
In this example, smoking groups showed significant, so we could conclude that FEF were significantly different among the 6 groups.
When P < 0.05, if you want to find which pairwise factor groups are significantly different, please continue with Multiple Comparison
Pairwise P Value Table
In this example, we used Bonferroni-Holm method to explore the possible pairs with P < 0.05. HS was significant different from the other groups; LS was significantly different from MS and NS; MS was significantly different from NI and PS; NI was significantly different from NS.
The categories in the Factor 1
The categories in the Factor 2
In this example, dietary types and sex both have effects on the SBP (P<0.001), and dietary types also significantly related with sex (P<0.001).
When P < 0.05, if you want to find which pairwise factor groups are significantly different, please continue with Multiple Comparison
Pairwise P Value Table under Each Factor
In this example, all the pairs, normal vs LV, SV vs LV, SV vs normal, and male vs female had significant differences on SBP.
The categories in the Factor Group
Descriptive statistics by group
In this example, smoking groups showed significant, so we could conclude that FEF were significantly different among the 6 groups from Kruskal-Wallis rank sum test.
When P < 0.05, if you want to find which pairwise factor groups are significantly different, please continue with Multiple Comparison
Reject Null Hypothesis if p <= 0.025
In this example, smoking groups showed significant, so we could conclude that FEF were not significantly different in LS-NI, LS-PS, and NI-PS groups. For other groups, P <0.025.