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splitting a factor in an analysis of deviance table (negative binomial model)
2010 Jan 19
1
splitting a factor in an analysis of deviance table (negative binomial model)
...re(MASS) my.data <- data.frame("A"=rep(c(rep("Alevel1",4),rep("Alevel2",4),rep("Alevel3",4),rep("Alevel4",4)),4),                       "B"=c(rep("Blevel1",16),rep("Blevel2",16),rep("Blevel3",16),rep("Blevel4",16)),                       "value"=rnegbin(64, 10, 10)) # fitting the model with interaction (a + b + a:b) model <- glm.nb(value ~ A*B, data=my.data) anova(model, test="F")      Df Deviance Resid. Df Resid. Dev      F Pr(>F) NULL                    63     80.639...