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Date: Sun 24 Jul 2005 - 00:23:50 EST

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https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html Received on Mon Jul 25 23:19:36 2005

Date: Sun 24 Jul 2005 - 00:23:50 EST

Hi,

I'm new to R (though I have spent hours trying to learn how to use
it) and also not very knowledgeable

about statistics, so I hope you will excuse what may seem like a very
basic question. I'm trying to use

R to do an ANOVA analysis for some data with an unbalanced design, and
while I was trying to figure that out, I got confused about the purpose
of the "lm". All definitions I can find of "linear model" are of the
form:

y = a + b * x + e

In other words, y is only linear in the dependent variable(s) x. However, the lm model seems to support higher order polynomials, e.g.:

> lm(dist ~ speed + I(speed^2)+I(speed^3), cars)

Is there some sense in which that model is "linear", or is R's lm() providing extra functionality?

Thanks,

--Paul

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https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html Received on Mon Jul 25 23:19:36 2005

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