From: Gustaf Granath <gustaf.granath_at_ebc.uu.se>

Date: Wed, 05 Dec 2007 20:31:43 +0100

R-help_at_r-project.org mailing list

https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. Received on Wed 05 Dec 2007 - 19:36:14 GMT

Date: Wed, 05 Dec 2007 20:31:43 +0100

coef( summary ( lm ( fruit ~ A + B, data = test)))

Estimate Std. Error t value Pr(>|t|)

(Intercept) 2.716667 0.5484828 4.953058 7.879890e-04

A2 6.266667 0.6333333 9.894737 3.907437e-06 B2 5.166667 0.6333333 8.157895 1.892846e-05

I understand that the mean of A2 is +6.3 more than A1, and that B2 is 5.2 more than B1.

So the question is: Is the intercept A1 and B1 combined as one mean

("the baseline")? or is it something else? Does this number actually

tell me anything

useful (2.716)??

What does the model (y = intercept + ??) look like then? I can't understand how both factors (A and B) can have the same intercept?

Thanks in advance!!

Gustaf Granath

Dept of Plant Ecology

Uppsala University, Sweden

R-help_at_r-project.org mailing list

https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. Received on Wed 05 Dec 2007 - 19:36:14 GMT

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