Re: [R] How do anova() and Anova(type=III) handle incomplete designs?

2012-06-18 Thread Justin Montemarano
Thanks for your response, John. That was helpful. I was using Type III from Anova() as a comparison to some results I had obtained JMP, which I've lost access to and have moved on to R, and I was confused by the error. Given that I do have a continuous covariate, the analyses are not likely

Re: [R] How do anova() and Anova(type=III) handle incomplete designs?

2012-06-18 Thread John Fox
Dear Justin, On Mon, 18 Jun 2012 11:24:33 -0400 Justin Montemarano jmont...@kent.edu wrote: Thanks for your response, John. That was helpful. I was using Type III from Anova() as a comparison to some results I had obtained JMP, which I've lost access to and have moved on to R, and I was

Re: [R] How do anova() and Anova(type=III) handle incomplete designs?

2012-06-16 Thread John Fox
Dear Justin, anova() and Anova() are entirely different functions; the former is part of the standard R distribution and the second part of the car package. By default, Anova() produces an error for type-III tests conducted on rank-deficient models because the hypotheses tested aren't

[R] How do anova() and Anova(type=III) handle incomplete designs?

2012-06-15 Thread Justin Montemarano
Hello all: I am confused about the output from a lm() model with an incomplete design/missing level. I have two categorical predictors and a continuous covariate (day) that I am using to model larval mass (l.mass): leaf.species has three levels - map, syc, and oak cond.time has two levels -