Ilaria wrote:
I have five different variables (calculated as percentages), and namely:
the % of the population living within 15 minutes distance from a
hospital, the % of population living within 30 minutes distance from a
hospital, ... within 45 min..., ... within 60 min..., and over 60 min.
The hospitals are classified into 5 categories, like general hospital,
university hospital, and so forth.
I would like to draw a graph bar showing the percentages of the
population "w\in15 w\in30 w\in45 w\in60 over60 minutes" as the yvars for
the different five categories of hospitals.
I typed in the following command:
Graph bar w\in15 w\in30 w\in45 w\in60 over60, perc by (category)
But I get an error report saying that the option by is not allowed. What
is the right command?
Moreover, I have some further questions:
1. Being the vbs w\in15 w\in30 w\in45 w\in60 over60 already percentages,
should I specify anyway the option per? Alternatively, should I use the
"original" values and let stata calculate the percentages while drawing
the graph?
2. Is there any other graph I could use for this purpose?
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Look at the online help:
help graph bar
It tells nothing about a -by()- option; probably the -over()- option is
what you need. Next: avoid a space between the option name and the
parenthesis. Write -over(category)-, not -over (category)-. A space here
may give some spectacular error messages.
I guess that your variable names are different from what you show us; at
least my Stata does not accept -w\in15- as a variable name.
With distances at an ordinal (rank) scale you might want to display
stacked bars; a bar for each hospital type. Here is an example:
generate x=1
graph bar (count) x ///
, ///
over(rep78) over(foreign) ///
asyvars percent stack ///
bar(1, fcolor(gs0)) ///
bar(2, fcolor(gs6)) ///
bar(3, fcolor(gs10)) ///
bar(4, fcolor(gs13)) ///
bar(5, fcolor(gs16)) ///
legend(title("Repair" "record" , size(*0.8)) ///
order(5 4 3 2 1)) ///
ytitle("Per cent") ///
b1title("Origin")
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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