You might consider the Predict.Plot and TkPredict functions in the TeachingDemos package. These help you explore multiple linear regression models by plotting the "line" relating the response to one of the predictors at given values of the other predictors. These lines can be combined in a single plot (Predict.Plot) or changed interactively (TkPredict). See the examples in the help page.
On Sun, Sep 18, 2016 at 9:26 AM, mviljamaa <mvilja...@kapsi.fi> wrote: > I'm having a bit of trouble plotting the regression line of multivariable > linear model. > > Specifically my model has one response and two predictors, i.e. it's of the > form > > Y = b_0+b_1*X_1+b_2*X_2 > > Plotting the regression line for a single predictor model > > Y = b_0+b_1*X_1 > > is simple enough, just call abline() with the coefficients returned by lm(). > > However, I don't know if this can be adapted to multivariable linear models. > > I also know about curve(), but I don't know how am I supposed to input the > multivariable model's coefficients into it. > > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > 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 ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.
