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
[email protected]
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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