All these clever solutions have a funny tendency to remind me of one thing:
a software that takes prides in its graph capabilities should not force
users to go to such lengths for a mundane task like labeling with
percentages...
Martin Weiss
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Diplom-Kaufmann Martin Weiss
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-----Original Message-----
From: [email protected]
[mailto:[email protected]] On Behalf Of Svend Juul
Sent: Monday, June 30, 2008 9:56 AM
To: [email protected]
Subject: Re: st: labels on bar graphs
Rich wrote:
I need to produce a sizable number of bar graphs for a client. The
client wants the y-axis to be labeled as, e.g., "15%" rather than as,
e.g., .15. The range of proportions for these graphs varies quite a bit
(from a max of less than .05 to a max of over .2) so I don't want to
force them all to be the same.
After seeing a graph, it is easy enough to use the ylabel option to get
what I want. Given that I am generally willing to live with Stata's
automatic choice of tick marks, is there a way to automatically get
labels in the form I want (e.g., "15%") rather than the way Stata wants
(e.g., .15)?
======================================================================
You could -contract- the dataset, determine the maximum percent, and
create a macro containing a label corresponding to that. Here is an
example:
-------------------------------------------------------------
sysuse auto , clear
contract rep78 , percent(pct) nomiss
local pmax = r(max)/r(sum)
if `pmax' < .05 {
local ylab `" 0 " 0% " 1 " 1% " 2 " 2% " 3 " 3% " 4 " 4% " 5 " 5% "
"'
}
else if `pmax' < .10 {
local ylab `" 0 " 0% " 2 " 2% " 4 " 4% " 6 " 6% " 8 " 8% " 10 " 10% "
"'
}
else if `pmax' < .20 {
local ylab `" 0 " 0% " 5 " 5% " 10 " 10% " 15 " 15% " 20 " 20% " "'
}
else {
local ylab `" 0 " 0% " 10 " 10% " 20 " 20% " 30 " 30% " 40 " 40% " 50
" 50% " "'
}
graph bar pct , over(rep78) ylabel(`ylab')
-------------------------------------------------------------
Hope this helps
Svend
__________________________________________
Svend Juul
Institut for Folkesundhed, Afdeling for Epidemiologi
(Institute of Public Health, Department of Epidemiology)
Vennelyst Boulevard 6
DK-8000 Aarhus C, Denmark
Phone: +45 8942 6090
Home: +45 8693 7796
Email: [email protected]
__________________________________________
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