By the way, how about: plot(y,mylm$residuals)
So you can have an idea of your error distribution across your response variable domain. :-) milton toronto=brazil On Sat, Sep 19, 2009 at 9:02 PM, Sunil Suchindran <sunilsuchind...@gmail.com > wrote: > x <- seq(50) > > y <- 10 + x * 2 + rnorm(50,0,10) > > plot(y~x) > > mylm = lm(y~x) > > # Use str(mylm) to see how to get the residuals > > plot(x,mylm$residuals) > > > On Sat, Sep 19, 2009 at 8:35 PM, Jason Priem <pr...@email.unc.edu> wrote: > > > Hi, > > I want to plot the residuals of a least-squares regression. > > > > plot(lm(y~x), which=1) > > > > does this, but it plots the y-axis of my data on the x-axis of the > > residuals plot. That is, it plots the residual for each y-value in the > > data. Can I instead use the x-axis of my data as the x-axis of the > > residuals plot, showing the residual for a given x? > > > > Thanks! > > > > Jason Priem > > University of North Carolina at Chapel Hill > > School of Information and Library Science > > > > ______________________________________________ > > 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<http://www.r-project.org/posting-guide.html> > <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<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.
