我试图理解如何在R中使用ANOVA和事后测试.到目前为止,我已经使用aov()和TukeyHSD()来分析我的数据.例:
uni2.anova <- aov(Sum_Uni ~ Micro, data= uni2)
uni2.anova
Call:
aov(formula = Sum_Uni ~ Micro, data = uni2)
Terms:
Micro Residuals
Sum of Squares 0.04917262 0.00602925
Deg. of Freedom 15 48
Residual standard error: 0.01120756
Estimated effects may be unbalanced
我的问题是,现在我有一个巨大的成对比较列表,但不能用它做任何事情:
TukeyHSD(uni2.anova)
Tukey multiple comparisons of means
95% family-wise confidence level
Fit: aov(formula = Sum_Uni ~ Micro, data = uni2)
$Micro
diff lwr upr p adj
Act_Glu2-Act_Ala2 -0.0180017863 -0.046632157 0.0106285840 0.6448524
Ana_Ala2-Act_Ala2 -0.0250134285 -0.053643799 0.0036169417 0.1493629
NegI_Ala2-Act_Ala2 0.0702274527 0.041597082 0.0988578230 …