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2008 Jun 11
2
model simplification using Crawley as a guide
...egorical variable with three levels and B and C are continuous covariates. Following Crawley, I execute the model, then use summary.aov() to identify non-significant terms. I begin deleting non-significant interaction terms one at a time (using update). After each update() statement, I use anova(modelOld,modelNew) to contrast the previous model with the updated one. After removing all the interaction terms, I'm left with: lm(y~ A + B + C) again, using summary.aov() I identify A to be non-significant, so I remove it, leaving: lm(y~B + C) both of which are continuous variables Does it still...