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From |
Tim Evans <[email protected]> |

To |
"'[email protected]'" <[email protected]> |

Subject |
RE: st: Useful labelling of dummy variables following logit |

Date |
Fri, 26 Aug 2011 11:59:25 +0100 |

```
Thanks for the advice again both pretty much seem to do what I want, but I found with Nick's example the first graph wasn't needed so what I ended up with is below - took a bit of fiddling around and I think Maartens version is probably cleaner than mine - one thing I do wonder - I am running different logit models, but essentially graph the same variables (from the same dataset), but I call the graphing code from a different do file to the regressions so that I can keep track of the code easily. Is it possible to write a sequence that will open up all of the graphs once saved, insert the filename as the title and then save and close them again?
:
egen axis= axis(z), label(label2)
drop if axis ==.
gsort p estimate min95 max95
gen order = _n
labmask order, values(label2)
count if inlist(flag,0,1)
local N = r(N)
seperate estimate, by(flag)
twoway bar estimate0 axis, xscale(log) base(1) horizontal barw(0.5) color(gs13) ///
xline(1) yla(1/`=_N', noticks valuelabel ang(h)) || ///
rcap min95 max95 axis, horizontal ///
|| bar estimate1 axis, xscale(log) base(1) horizontal barw(0.5) color(red) ///
xline(1) yla(1/`=_N', noticks valuelabel ang(h)) || ///
rcap min95 max95 axis, horizontal ///
legend(order(3 "Significant" 1 "Not significant")) ytitle("") ///
xtitle("odds ratio") ytitle("")
**xtitle(`: var label estimate')
drop estimate0 estimate1
-----Original Message-----
From: [email protected] [mailto:[email protected]] On Behalf Of Maarten Buis
Sent: 26 August 2011 09:19
To: [email protected]
Subject: Re: st: Useful labelling of dummy variables following logit
On Fri, Aug 26, 2011 at 9:59 AM, Tim Evans <[email protected]> wrote:
> Having given some more thought to only presenting significant predictors, is it possible to graph all of the predictors, but change the colour of the bars of the significant predictors in order to distinguish them from the others?
In essence that information is already available in your graph: Those
estimates whose confidence interval includes 1 are not significant.
However you can also add color, like so:
*-------------------- begin example -------------------
sysuse nlsw88, clear
replace ttl_exp = ttl_exp / 10 // experience in decades
replace grade = grade - 12 // center education at meaningful value
logit union i.race i.south grade ttl_exp, or
foreach v in grade ttl_ex { // continuous variables
local l`v' : variable label `v'
if `"`l`v''"' == "" { // if no variable label
local l`v' "`v'"
}
}
foreach v in south race { // factor variables
levelsof `v'
local `v'levs `r(levels)'
foreach l in ``v'levs' {
local l`v'_`l' : label (`v') `l'
if `"`l`v'_`l''"' == "`l'" { // if no value label
local l`v'_`l' `"`v' == `l'"'
}
}
}
parmest, norestore eform
foreach v in grade ttl_ex {
replace parm = "`l`v''" if parm == "`v'"
}
foreach v in south race {
local i = 1
foreach l in ``v'levs' {
if `i' == 1 {
drop if parm == "`l'b.`v'" // drop reference
}
else {
replace parm = "`l`v'_`l''" if parm == "`l'.`v'"
}
local i = `i' + 1
}
}
replace parm = "baseline odds" if parm == "_cons"
egen axis= axis(estimate), label(parm)
twoway bar estimate axis if p < .05 , base(1) ///
horizontal barw(.5) color(red) || ///
bar estimate axis if p >= .05, base(1) ///
horizontal barw(.5) color(gs13) ///
xline(1) ///
ylab(1/6, valuelabel ang(h) noticks) || ///
rcap min95 max95 axis, horizontal ///
legend(order(1 "sign. point estimate" ///
2 "non sign. point estimate" ///
3 "95% conf. int.") pos(6)) ///
xtitle("odds ratio") ytitle("")
*---------------- end example ---------------------
(For more on examples I sent to the Statalist see:
http://www.maartenbuis.nl/example_faq )
Hope this helps,
Maarten
--------------------------
Maarten L. Buis
Institut fuer Soziologie
Universitaet Tuebingen
Wilhelmstrasse 36
72074 Tuebingen
Germany
http://www.maartenbuis.nl
--------------------------
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```

**Follow-Ups**:**Re: st: Useful labelling of dummy variables following logit***From:*Maarten Buis <[email protected]>

**Re: st: Useful labelling of dummy variables following logit***From:*Nick Cox <[email protected]>

**References**:**st: Useful labelling of dummy variables following logit***From:*Tim Evans <[email protected]>

**Re: st: Useful labelling of dummy variables following logit***From:*Maarten Buis <[email protected]>

**Re: st: Useful labelling of dummy variables following logit***From:*Nick Cox <[email protected]>

**RE: st: Useful labelling of dummy variables following logit***From:*Tim Evans <[email protected]>

**Re: st: Useful labelling of dummy variables following logit***From:*Maarten Buis <[email protected]>

**Re: st: Useful labelling of dummy variables following logit***From:*Nick Cox <[email protected]>

**RE: st: Useful labelling of dummy variables following logit***From:*Tim Evans <[email protected]>

**Re: st: Useful labelling of dummy variables following logit***From:*Maarten Buis <[email protected]>

**Re: st: Useful labelling of dummy variables following logit***From:*Nick Cox <[email protected]>

**RE: st: Useful labelling of dummy variables following logit***From:*Tim Evans <[email protected]>

**Re: st: Useful labelling of dummy variables following logit***From:*Maarten Buis <[email protected]>

**RE: st: Useful labelling of dummy variables following logit***From:*Tim Evans <[email protected]>

**Re: st: Useful labelling of dummy variables following logit***From:*Maarten Buis <[email protected]>

**RE: st: Useful labelling of dummy variables following logit***From:*Tim Evans <[email protected]>

**Re: st: Useful labelling of dummy variables following logit***From:*Nick Cox <[email protected]>

**RE: st: Useful labelling of dummy variables following logit***From:*Tim Evans <[email protected]>

**Re: st: Useful labelling of dummy variables following logit***From:*Maarten Buis <[email protected]>

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