Entering edit mode
5.1 years ago
koukourikou.kon
•
0
I am trying to perform a Two-Way Anova in R for the following dataset:
> metabolite_rev
Score Subject Timepoint
y.Batch1_AC033_BASAL_POST 365839.409 AC033 BASAL.POST
y.Batch1_AC033_E1_POST 128835.396 AC033 E1.POST
y.Batch1_AC033_E1_PRE 176704.764 AC033 E1.PRE
y.Batch1_AC033_E2_POST 446182.049 AC033 E2.POST
y.Batch1_AC033_E2_PRE 1542.306 AC033 E2.PRE
y.Batch1_AC033_PRE 43061.415 AC033 PRE
y.Batch2_AS060_BASAL_POST 81029.703 AS060 BASAL.POST
y.Batch2_AS060_E1_POST 38724.226 AS060 E1.POST
y.Batch2_AS060_E1_PRE 161571.196 AS060 E1.PRE
y.Batch2_AS060_E2_POST 393424.706 AS060 E2.POST
y.Batch2_AS060_E2_PRE 33851.076 AS060 E2.PRE
y.Batch2_AS060_PRE 146546.477 AS060 PRE
With the follow commant:
> model_metabolite <- aov(Score ~ Subject + Timepoint + Subject*Timepoint, data=metabolite_rev)
> summary(model_metabolite)
Df Sum Sq Mean Sq
Subject 1 7.855e+09 7.855e+09
Timepoint 5 2.030e+11 4.061e+10
Subject:Timepoint 5 4.415e+10 8.829e+09
Thus, the problem is that I don't get p-values.
When I try:
> model_metabolite <- aov(Score ~ Subject + Timepoint, data=metabolite_rev)
> summary(model_metabolite)
Df Sum Sq Mean Sq F value Pr(>F)
Subject 1 7.855e+09 7.855e+09 0.890 0.3889
Timepoint 5 2.030e+11 4.061e+10 4.599 0.0597 .
Residuals 5 4.415e+10 8.829e+09
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
I get pvalues.
With a little search I found out that the problem when I put the interaction term is that my model is saturated. But I don't really get what that means.. Could anyone please help me?
