search for: theanova

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2008 May 06
1
Type I or III SS with mixed model function lme
...- lme(fixed=Y~A+B+A:B, random=~1|Site). Y is a continuous variable while A and B are factors. The data set is balanced with the same number of observations in each combination of A and B. There are two hierarchical levels: Site and plots nested in site. He tried two different ways of getting theANOVA table: anova(out) and anova(out, type=”marginal”). Since the data were balanced, these two ways should (I think) give the same output since they correspond to Type I and III sums of squares in the SAS terminology. At least, this is the case with normal (i.e. not mixed) linear models. However,...
2008 May 07
0
solution to differences in sequential and marginal ANOVA using a mixed model
...t;- lme(fixed=Y~A+B+A:B, random=~1|Site). Y is a continuous variable while A and B are factors. The data set is balanced with the same number of observations in each combination of A and B. There are two hierarchical levels: Site and plots nested in site. He tried two different ways of getting theANOVA table: anova(out) and anova(out, type="marginal"). Since the data were balanced, these two ways should (I think) give the same output since they correspond to Type I and III sums of squares in the SAS terminology. At least, this is the case with normal (i.e. not mixed) linear models. Ho...