Hi Greg. Thanks for your reply. Do you know if there is a way to use the
confint function to get a p-value on this test?

Thanks, Mark


On Mon, Apr 23, 2012 at 3:10 PM, Greg Snow <538...@gmail.com> wrote:

> One option is to subtract the continuous variable from y before doing
> the regression (this works with any regression package/function).  The
> probably better way in R is to use the 'offset' function:
>
> formula = I(log(data$AB.obs + 1, 10)-log(data$SIZE,10)) ~
> log(data$SIZE, 10) + data$Y
> formula = log(data$AB.obs + 1) ~ offset( log(data$SIZE,10) ) +
> log(data$SIZE,10) + data$Y
>
> Or you can use a function like 'confint' to find the confidence
> interval for the slope and see if 1 is in the interval.
>
> On Mon, Apr 23, 2012 at 12:11 PM, Mark Na <mtb...@gmail.com> wrote:
> > Dear R-helpers,
> >
> > I would like to test if the slope corresponding to a continuous variable
> in
> > my model (summary below) is different than one.
> >
> > I would appreciate any ideas for how I could do this in R, after having
> > specified and run this model?
> >
> > Many thanks,
> >
> > Mark Na
> >
> >
> >
> > Call:
> > lm(formula = log(data$AB.obs + 1, 10) ~ log(data$SIZE, 10) +
> >   data$Y)
> >
> > Residuals:
> >    Min       1Q   Median       3Q      Max
> > -0.94368 -0.13870  0.04398  0.17825  0.63365
> >
> > Coefficients:
> >                  Estimate Std. Error t value  Pr(>|t|)
> > (Intercept)        -1.18282    0.09120 -12.970   < 2e-16 ***
> > log(data$SIZE, 10)  0.56009    0.02564  21.846   < 2e-16 ***
> > data$Y2008          0.16825    0.04366   3.854  0.000151 ***
> > data$Y2009          0.20310    0.04707   4.315 0.0000238 ***
> > ---
> > Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
> >
> > Residual standard error: 0.2793 on 228 degrees of freedom
> > Multiple R-squared: 0.6768,     Adjusted R-squared: 0.6726
> > F-statistic: 159.2 on 3 and 228 DF,  p-value: < 2.2e-16
> >
> >        [[alternative HTML version deleted]]
> >
> >
> > ______________________________________________
> > R-help@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.
> >
>
>
>
> --
> Gregory (Greg) L. Snow Ph.D.
> 538...@gmail.com
>

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