Try this: model.matrix(y ~ x + as.factor(x1))
to see the model matrix that is being used. Matrix multiplication of that matrix by the coefficients is the prediction equation. On 6/23/06, Justin Rapp <[EMAIL PROTECTED]> wrote: > When I run a linear regression and include a variable in the > regression with as.factor i.e. > > lm(y ~x +as.factor(x1) > > and i read the output as > as.factor(x1)1.... > as.factor(x1)2... > etc. > > how do i interpret the estimate for each level? Is this simply to be > regarded as a shift in the equation predicted by the intercept and > independent variable x? > > jdr > > > -- > Justin Rapp > 409 S. 22nd St. > Apt. 1 > Philadelphia, PA 19146 > Cell:(267)252.0297 > > ______________________________________________ > [email protected] mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html > ______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
