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From |
"Nick Cox" <n.j.cox@durham.ac.uk> |

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

Subject |
RE: st: graphs |

Date |
Mon, 15 Dec 2008 17:02:16 -0000 |

Unless of course you want to suppress time. But my impression is that for most data of this kind keeping the time reference is crucial. Nick n.j.cox@durham.ac.uk -----Original Message----- From: owner-statalist@hsphsun2.harvard.edu [mailto:owner-statalist@hsphsun2.harvard.edu] On Behalf Of Nick Cox Sent: 15 December 2008 16:40 To: statalist@hsphsun2.harvard.edu Subject: RE: st: graphs You are correct. -mrunning- does not try to give a direct plot of the data; it tries to do something that in my experience is often as or more more useful for your kind of problem, which is why I suggested it. I find your wording very odd. It seems more natural to me to think of the response (DV, if you will) varying with respect to one or more predictors. If that is not how you think about it, why do you consider it to be the DV? However, that is a minor detail. As I said earlier, and your comment here strengthens it, your problem sounds four-dimensional to me. I don't think S-plus or R can oblige. Nick n.j.cox@durham.ac.uk Victor, Jennifer Nicoll Thanks Nick and David. I played around with the mrunning command a bit. Unfortunately, it does not seem able to show how the data vary across time for two variables with respect to the DV. I had hoped to find a way to put this all on one graph. It seems David suggestion of doing this in R is perhaps my only path. To give you an example of what I'm trying to accomplish.... I have a dependent variable that is a measure of policy specialization for a panel of members of Congress across 34 years. I want to show how their rates of specialization vary depending on (1) whether they sought higher office AND (2) the relative difference in demographics between their district and their state (such as the % of blacks). The only way I can think to show all this on one graph is with a 3-D graph. I guess that means using s-plus or R. Nick Cox I meant -mrunning- from the Stata Journal, as David points out. Nick Cox David I think meant not in official Stata. Jennifer's problem sounds, from another point of view, four-dimensional. Even if it is, -mrunning- from SSC offers another alternative. David Airey No, not in official data. Often there are two dimension reductions that serve just as well. The - vibl- package is one example of useful two dimensional plots, where a 3 dimensional plot is a natural choice, (http://www.ats.ucla.edu/stat/Stata/seminars/stata_vibl/vibl.pdf ). But anyway, you have a free alternative in several R packages, such as: <http://www.statmethods.net/graphs/scatterplot.html> Commercial packages like JMP 7 or 8 do this kind of plot well. Also Data Desk 7, but development has stopped on this package. On Dec 12, 2008, at 4:02 PM, Victor, Jennifer Nicoll wrote: > Can stata make a three-dimensional graph? I want to show how two > variables (one dichotomous and one continuous) change over time with > respect to a dependent variable. I can envision something three- > dimensional getting the point across but haven't found anything in > the manuals to lead me in that direction. Is it possible? * * 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: graphs***From:*"Victor, Jennifer Nicoll" <jnvictor@pitt.edu>

**Re: st: graphs***From:*David Airey <david.airey@Vanderbilt.Edu>

**RE: st: graphs***From:*"Nick Cox" <n.j.cox@durham.ac.uk>

**RE: st: graphs***From:*"Nick Cox" <n.j.cox@durham.ac.uk>

**RE: st: graphs***From:*"Victor, Jennifer Nicoll" <jnvictor@pitt.edu>

**RE: st: graphs***From:*"Nick Cox" <n.j.cox@durham.ac.uk>

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