Thanks! it worked. this forum is so powerful!
On Tue, Nov 16, 2010 at 12:20 PM, Douglas Bates <ba...@stat.wisc.edu> wrote:
> On Tue, Nov 16, 2010 at 10:30 AM, poko2000 <quan.poko2...@gmail.com>
> wrote:
>
> > Hi I am a newbie in R.
> > I have data with dim of 20.
> > How to use lm if i want to do regression with the whole design matrix? My
> y
> > is the first column.
> > the left are xs.
> > Thanks a lot.
>
> Do you have the data stored in a matrix or in a data frame? If it is
> in a data frame and the first column is named "y" then you can use a
> call like
>
> lm(y ~ ., mydata)
>
> The '.' on the right hand side of the formula is expanded to a formula
> incorporating of the columns in the data frame except for the
> response. For example
>
> > summary(lm(Fertility ~ ., swiss))
>
> Call:
> lm(formula = Fertility ~ ., data = swiss)
>
> Residuals:
> Min 1Q Median 3Q Max
> -15.2743 -5.2617 0.5032 4.1198 15.3213
>
> Coefficients:
> Estimate Std. Error t value Pr(>|t|)
> (Intercept) 66.91518 10.70604 6.250 1.91e-07
> Agriculture -0.17211 0.07030 -2.448 0.01873
> Examination -0.25801 0.25388 -1.016 0.31546
> Education -0.87094 0.18303 -4.758 2.43e-05
> Catholic 0.10412 0.03526 2.953 0.00519
> Infant.Mortality 1.07705 0.38172 2.822 0.00734
>
> Residual standard error: 7.165 on 41 degrees of freedom
> Multiple R-squared: 0.7067, Adjusted R-squared: 0.671
> F-statistic: 19.76 on 5 and 41 DF, p-value: 5.594e-10
>
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