Re: st: RE: Features for Stata 14

[chamara Anuranga <kcanurangast@gmail.com>]

I would like to see interactive graph once we finish running a "Do
file" what file we took and how we save. Simply saying this is a
graphical presentation what we did in do file. I could manage to write
some arrow graph importing "do file" as text file in Stata.

Chamara

On Tue, Feb 18, 2014 at 8:37 PM, Ronan Conroy <rconroy@rcsi.ie> wrote:
> These are small suggestions, but come up in teaching sessions with my doctoral students.
>
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> 1. Pie charts, though I seldom draw one, have a syntax that seems to fly in the face of Stata usage. Nick Cox's -pieplot- is a model of the syntax that ought to be employed.
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> 2. Creating indicator variables for the categories of a variable requires use of the -tabulate- command and the -generate- option. This is awkward, and users could be forgiven for not knowing the option was there. A separate command would be more useful and immediately visible.
>
> 3. Stacked bar charts of a categorical variable need to be drawn (I think - please tell me if there's an easier way!) by creating dummy variables (using the awkward -tabulate- route!)
>
> . qui tab infection_route, gen(inf_)
> . gr hbar (mean) inf_*, over(sex) stack percent
>
> And even here, the legend needs a bit of a tidy
>
> 4. The -proportions- command should allow the use user choice of methods to generate confidence intervals. The current formula, based on a logit transformation, is at least preferable to the normal approximation method that was previously used, but the resulting intervals are still wider than those obtained in smaller samples using the Wilson or (equivalent) Jeffrey's methods, which perform better in simulation studies. The -proportions- command should allow you to choose your method, just as the -ci- command does.
>
> 5. The dialogue for -twoway- tables with measures of association uses "within-column/row relative frequency" and "relative frequencies" to refer to what any mortal would call column, row and total percents. My students find it a little bewildering.
>
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>
> Ronán Conroy
> rconroy@rcsi.ie
> Associate Professor
> Division of Population Health Sciences
> Royal College of Surgeons in Ireland
> Beaux Lane House
> Dublin 2
>
>
> Prof. Ronan Conroy
> Associate Professor of Biostatistics
>
>
> RCSI Department of Epidemiology and Public Health Medicine
> Royal College of Surgeons in Ireland
> Lower Mercer Street, Dublin 2, Ireland
> T: 01-402-2431
> E: rconroy@rcsi.ie  W: www.rcsi.ie
>
> RCSI DEVELOPING HEALTHCARE LEADERS
> WHO MAKE A DIFFERENCE WORLDWIDE
>
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