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2011 Jun 14
0
Analyzing three-way contingency tables with many zero cells
...# Import data COR<-read.table('Independence of traits.csv',header=T,sep=',',strip.white=T) # Transform data into an appropriate table form COR.tab<-xtabs(Count~Segment+Body+Pattern,COR) # To run G2 Log-linear model test, not sure if super appropriate as many empty cells COR.glmF <- glm(Count~Segment*Body*Pattern, family=poisson, COR) anova(COR.glmF, test="Chisq") Any advice would be greatly appreciated. Many thanks in advance, James Bull (Monash University, Australia)