R语言中在设计matrix时怎么进行多组分组，并分析差异基因...

上网学习1

  #f <-factor(pdata$GROUP)
  #design<-model.matrix(~0+f)
  #design<-model.matrix(~0+as.factor(pdata$GROUP))
  #colnames(design)<-c("CO","D15","D30","D5")
  #rownames(design)<-rownames(pdata)


fit<-lmFit(eset,design)
  cont.matrix<-makeContrasts(X,levels = design)
  fit2<-contrasts.fit(fit,cont.matrix)
  fit2e<-eBayes(fit2)


tested<-topTable(fit2e,adjust="fdr",number = Inf,sort.by = "B",coef = 1)

X那里应该怎么改呢？


请大神们指点~~