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 <[EMAIL PROTECTED]> 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 > [EMAIL PROTECTED] > > ______________________________________________ > 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. > [[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.
