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From |
Friedrich Huebler <fhuebler@gmail.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: scatter with aweight - consistent sizing across subsets of observations |

Date |
Thu, 26 Mar 2009 13:26:56 -0400 |

Dan, You can find the solution to your problem in this post: http://www.stata.com/statalist/archive/2008-08/msg00987.html The example uses overlaid scatterplots but the principle applies to plots that are drawn separately. Try the code in the post and add one new command at the end: . twoway scatter y x [w=weight], by(group) name(D) legend(off) A more complicated example is shown here: http://www.stata.com/statalist/archive/2008-08/msg00982.html Friedrich On Thu, Mar 26, 2009 at 12:22 PM, Dan Weitzenfeld <dan.weitzenfeld@emsense.com> wrote: > Hi All, > I am confused as to how exactly Stata determines what will be the > largest and smallest marker size when using -scatter- with aweights. > My goal is to create a series of aweighted scatterplots, each one on a > subset of my data, with the relative marker sizing consistent across > plots. That is, if a point in my first graph and a point in my second > graph are both weighted 100, I'd like them to be the same size, > regardless of what other points are plotted on each. > > My idea for how to do this is to create two fake datapoints, one equal > to the universal minimum and one equal to the universal maximum of the > weights, and to include these fake datapoints in each plot. Since I > am copying the graphs into PowerPoint and ungrouping them anyway, I > can just delete these two fake points. > > Is there any reason this should not work? > Is there a simpler way? > > Thanks in advance, > Dan * * 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/

**Follow-Ups**:**RE: st: scatter with aweight - consistent sizing across subsets of observations***From:*"Nick Cox" <n.j.cox@durham.ac.uk>

**Re: st: scatter with aweight - consistent sizing across subsets of observations***From:*Dan Weitzenfeld <dan.weitzenfeld@emsense.com>

**References**:**st: scatter with aweight - consistent sizing across subsets of observations***From:*Dan Weitzenfeld <dan.weitzenfeld@emsense.com>

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