我尝试使用edge R包来分析我的数据，如下所示
这是我的数据框叫做subdata
A B C D E
1 13707 13866 12193 12671 10178
2 0 0 0 0 1
3 7165 5002 1256 1341 2087
6 8537 16679 9042 9620 19168
10 19438 25234 15563 16419 16582
16 3 3 11 3 5
genotype=factor(c("LMS1","LRS1","MS3","MS4","RS5"))
y=DGEList(counts=data.matrix(subdata),group=genotype)
design=model.matrix(~0+group,data=subdata)
y=estimateGLMCommonDisp(y,design, verbose=TRUE)
我尝试计算常见的离散度以估计上调和下调基因，但我得到如下错误信息
Warning message:
In estimateGLMCommonDisp.default(y = y$counts, design = design, :
No residual df: setting dispersion to NA
请任何人帮我解决这个问题，我真的很感激