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Re: st: RE: Adding a Reference Point to a -tabplot- Graph


From   Marshall Garland <marshall.w.garland@gmail.com>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: RE: Adding a Reference Point to a -tabplot- Graph
Date   Fri, 24 Jul 2009 14:03:05 -0500

Hi Nick-

Thanks for the guidance. I'll play around with it using your suggestion.

Thanks again for your response.

-Marshall

On Fri, Jul 24, 2009 at 12:13 PM, Nick Cox<n.j.cox@durham.ac.uk> wrote:
> You'd need to replicate -tabplot-'s internal logic. So for example the
> height of the top of each bar is in essence
>
> category_code (1, 2, 3, etc.)
>
> PLUS
>
> [(Frequency in cell)/(Maximum frequency over all cells)]
> * Maximum height of bar
>
> So you'd need to replicate that kind of calculation for whatever you
> were superimposing on top.
>
> My guess is that this is entirely possible but not trivial.
>
> Nick
> n.j.cox@durham.ac.uk
>
> Marshall Garland
>
> I'm attempting to generate graphs across multiple levels (schools)
> that display the percentage of students within a particular school and
> within a particular subgroup (let's say, gender, or ethnicity, etc.)
> that accomplished a particular task. The data are longitudinal, so
> these outcomes are captured across multiple years (two, to be
> precise). Thus, my X and Y variable are both categorical. -tabplot-,
> of course, works brilliantly for this.
>
> However, I would also like to add a reference point to each category
> that shows the aggregate percentage (that is, across all schools in a
> given year, not just a particular one) for each task for each student
> subgroup. It seems as though some overlay using the addplot option for
> -tabplot- would work, but I can't seem to figure out how to do this.
> I've experimented with using -combine graph- to add additional figures
> of the aggregate results for each year, but I'm unhappy with the
> results.
>
> Here's my syntax thus far:
>
> ***figure 2***
> levelsof school_name, local(levels)
> foreach school_name of local levels {
>        tabplot ethniccode enroll_type_final, by (hs_grad_year)
> percent(ethniccode hs_grad_year) ytitle(, orient(hor)) ///
>        scheme(s2color) showval ///
>        ylabel(, nogrid) legend(nostack rows(1) size(small) nobox
> region(lcolor(white) lwidth(vvvthin))) ///
>        xtitle(`school_name') xtitle(, justification(center)) ///
>        by(, note(, color(white)))
> }
>
> My data look like this:
>
> Student School  Year    Y       X
> 1       A       2007    1       3
> 2       A       2008    3       2
> 4       B       2008    4       5
> 5       B       2007    1       4
> 7       C       2007    2       2
> 8       C       2008    4       4
>
> Any ideas or recommendations would be greatly appreciated.
>
> Cheers,
>
> -Marshall
>
> -tabplot- reference:
> http://www.stata-journal.com/sjpdf.html?articlenum=gr0004
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