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From |
"Martin Weiss" <martin.weiss1@gmx.de> |

To |
<statalist@hsphsun2.harvard.edu> |

Subject |
RE: st: Plotting a Local Polynomial Regression with CIs Accounting for Clustering |

Date |
Sat, 28 Nov 2009 18:20:36 +0100 |

<> ******* fracplot, msymbol(none) addplot((function y=x)) ******* HTH Martin -----Original Message----- From: owner-statalist@hsphsun2.harvard.edu [mailto:owner-statalist@hsphsun2.harvard.edu] On Behalf Of L S Sent: Samstag, 28. November 2009 18:13 To: statalist@hsphsun2.harvard.edu Subject: Re: st: Plotting a Local Polynomial Regression with CIs Accounting for Clustering That is great, thank you. The one thing that I need to do is to exclude the dots from the picture (I want the fractional polynomial regression and the extra line, but I don't want individual observations shown in the graph, as in my real data there are too many observations and they will clutter up the picture). Currently I am doing: fracpoly reg y x, cluster(id) fracplot, addplot(line x x) But it would be great if there were a 'nodots' option (I did not see any options that would seem to help with this) fracplot, nodots addplot(line x x) Thanks again. On Sat, Nov 28, 2009 at 4:46 AM, Maarten buis <maartenbuis@yahoo.co.uk> wrote: > --- On Sat, 28/11/09, L S <lts40301@gmail.com> wrote: >> I would like to graph a nonparametric regression of y on >> x. The graph should include 95% confidence intervals for >> the nonparametric regression which account for clustering >> of the errors over each individual in the data > > What about (you can add more graphs to this plot using the > -addplot()- option): > > *----------------- begin example ----------------- > clear > set obs 100 > set seed 1234 > gen id = _n > gen e = uniform() > expand 5 > gen x = uniform() > gen y = -.6 + 1.4*x^.5 + .5*(x>.5) + e > fracpoly reg y x, cluster(id) > fracplot > *------------------ end example ------------------ > > Hope this helps, > Maarten > > -------------------------- > Maarten L. Buis > Institut fuer Soziologie > Universitaet Tuebingen > Wilhelmstrasse 36 > 72074 Tuebingen > Germany > > http://www.maartenbuis.nl > -------------------------- > > > > > * > * For searches and help try: > * http://www.stata.com/help.cgi?search > * http://www.stata.com/support/statalist/faq > * http://www.ats.ucla.edu/stat/stata/ > Hello, I would like to graph a nonparametric regression of y on x. The graph should include 95% confidence intervals for the nonparametric regression which account for clustering of the errors over each individual in the data (as well as plotting an extra unrelated line). Here is some code: clear set obs 100 set seed 1234 gen id = _n gen e = uniform() expand 5 gen x = uniform() gen y = -.6 + 1.4*x + e twoway (lpolyci y x) (line x x) This is what I want, except that I want the drawn 95% confidence intervals to account for clustering of the error within individuals. That is, I would love to be able to run code like twoway (lpolyci y x, cluster(id)) (line x x) but Stata does not like this. The pictures are to qualitatively illustrate a point, so I am not wedded to the local polynomial regression, and thus would be fine with other types of nonparametric regression (someone mentioned Fan regression to me) if the graph I want can be implemented with confidence bounds accounting for clustering in Stata. * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/ * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**References**:**st: Plotting a Local Polynomial Regression with CIs Accounting for Clustering***From:*L S <lts40301@gmail.com>

**Re: st: Plotting a Local Polynomial Regression with CIs Accounting for Clustering***From:*Maarten buis <maartenbuis@yahoo.co.uk>

**Re: st: Plotting a Local Polynomial Regression with CIs Accounting for Clustering***From:*L S <lts40301@gmail.com>

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