Antoine,
I got some error messages from your solution, but this one points you in
a different direction and it arguably simpler. It calculates the numbers
for the histogram by hand and uses -tw rbar- instead of -tw histogram-:
------------------------------------------------------cut here---
clear
set scheme s2mono
webuse nlswork.dta, clear
g wage=exp(ln_wage)
su wage, de
drop if wage>r(p99)
egen t=group(year)
g ti=t+runiform()
g ti2=ti^2
g ti3=ti^3
qreg wage ti ti2 ti3
predict med
qreg wage ti ti2 ti3 , quantile(.95)
predict q95
qreg wage ti ti2 ti3 , quantile(.05)
predict q5
sum wage, meanonly
gen wageclass = autocode(wage,20,r(min),r(max))
by t wageclass, sort: gen wageperc = _N/r(N)
// rescale wageperc
sum wageperc, meanonly
replace wageperc = wageperc/r(max) * .80
gen lower = t
gen upper = t + wageperc
levelsof wageclass, local(K)
local width = (`:word 2 of `K'' - `:word 1 of `K'')*.95
twoway ///
|| rbar lower upper wageclass, ///
color(gs12) barwidth(`width') horizontal ///
|| line med q95 q5 ti, sort lcolor(black..)
-----------------------------------------------------------------
Am Freitag, den 20.03.2009, 09:07 +0100 schrieb Antoine Terracol:
> Dear _all,
>
> I was asked if I could reproduced a graphic like
> http://addictedtor.free.fr/graphiques/RGraphGallery.php?graph=109
> in Stata.
>
> Using nlswork.dta, I was able to produce the graph whose code is pasted
> below.
>
> As you can see, the years are not evenly spaced on the x-axis. In
> particular, the part between "1" and "2" is much smaller than the rest.
>
> I understand that, in fact, the total width of the sub graphs are all
> equal, and that the visual difference is due to the presence of the y
> axis and its legend in the first sub-graph.
>
> Is there a way to set the length of the axis in the first sub graph, or,
> alternatively, to produce a graph with just the y-axis in such a way
> that it would look nice?
>
> Best,
> Antoine
>
> /*--------------------------------------------*/
> clear
> set scheme s2mono
> webuse nlswork.dta, clear
> g wage=exp(ln_wage)
> su wage, de
> drop if wage>r(p99)
> egen t=group(year)
> g ti=t+runiform()
> g ti2=ti^2
> g ti3=ti^3
> qreg wage ti ti2 ti3
> predict med
> qreg wage ti ti2 ti3 , quantile(.95)
> predict q95
> qreg wage ti ti2 ti3 , quantile(.05)
> predict q5
>
> twoway (hist wage if t==1 , fcolor(gs14) plotr(m(zero))
> graphregion(margin(zero) color(white)) xlabel(0 "1") xtitle("")
> ylabel(0(5)20, grid gmin gmax) horiz) (line med q95 q5 ti if t==1, sort
> xaxis(2) yaxis(2) ylabel(0(5)20, axis(2)) lcolor(black black black)
> lwidth(thick thick thick) lpattern(solid solid solid) xscale(off
> axis(2)) yscale(off axis(2)) plotr(m(zero))) , legend(off) saving(a,
> replace)
> local list "a.gph"
>
> local t=2
> while `t'<=15 {
> twoway (hist wage if t==`t', fcolor(gs14) plotr(m(zero))
> graphregion(margin(zero) color(white)) xlabel(0 "`t'") xtitle("")
> yscale(off) xtitle("") ylabel(0(5)20 , grid gmin gmax) horiz) (line
> med q95 q5 ti if t==`t', sort xaxis(2) yaxis(2) ylabel(0(5)20, axis(2))
> lcolor(black black black) lwidth(thick thick thick) lpattern(solid solid
> solid) xscale(off axis(2)) yscale(off axis(2)) ) , legend(off)
> saving(a`t', replace)
> local list "`list' a`t'.gph"
> local t=`t'+1
> }
> graph combine `list', imargin(0 0 0 0) row(1) graphregion(color(white))
> note(t, pos(6))
> /*--------------------------------------------------*/
>
> *
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