Hi Ryan,
See the example in ?predict.lm . I think it would be useful in this case.
HTH,
Jorge
On Wed, Dec 31, 1969 at 8:16 PM, Ryan Harrigan <iluvsa@ucla.edu> wrote:
> I have an equation describing the best-fit model for a set of points (just
> 2
> axes) that is in the form:
>
> y=b+mx+px^2
>
> Where b is the intercept, m is the slope describing a linear term, and p is
> a slope of the quadratic term.
>
> I would like to plot this equation on a curve (I know the equation is
> y=(.1766x^2)+(.171x)+.101) on the original scatterplot. Any easy way to
> plot
> this equation and preferably with a prediction interval around the line?
>
> I have tried the lines() and predict() commands, using the linear model to
> plot, but get very whacky results. abline works great but does not include
> the quadratic term.
>
> Any help you could provide would be much appreciated,
>
> Ryan Harigan
>
>
> --
> Ryan Harrigan, Ph.D.
> Center for Tropical Research
> Institute of the Environment
> La Kretz Hall, Suite 300
> Box 951496
> Los Angeles, CA 90095-1496
> 203-804-9505
> iluvsa@ucla.edu
>
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