Re: st: Features for Stata 14

[Yuval Arbel <yuval.arbel@gmail.com>]

I came across the following problem in Stata 12:

The editor of the "histogram" command does not permit labeling all the
bars at once. I had to do the labeling  for each bar separately. It
would be nice if this option (of labeling all the bars at once) would
be available in the editor

On Mon, Sep 2, 2013 at 7:04 PM, Lucas <lucaselastic@gmail.com> wrote:
> It would be nice to be able to suppress estimation of the standard
> errors of the level 2 variances in the mixed commands. Some people
> don't need them and it could speed up estimation.
>
> It would be nice to have a subcommand to determine the identifying
> assumption of all ordinal models (mixed or regular) as either: 1)set
> constant=0 (the current specification), 2)set a given threshold=0.
> There may be other feasible options as well. Avoiding the first is
> nice because people are sometimes interested in the constant (e.g.,
> when all covariates are centered) and/or want to specify
> group-specific constants. Analysts are much less commonly interested
> in the value of the thresholds. Agree that other coefficients won't
> change. Still, I think it'd be nice.
>
> Sam
>
> On Mon, Sep 2, 2013 at 8:00 AM, William Buchanan
> <william@williambuchanan.net> wrote:
>> Since it is still fairly early in the development cycle for the next release of Stata, I thought it might be good to start a thread about things that people would like to see added to the next release.
>>
>> I would definitely be interested in seeing some updates/expansions to the graphics capabilities of Stata.  Alpha level blending is something that has come up several times and adding interactive graphics would be a great addition to the existing commands (e.g., functionality that is common in Tableau and several packages in R).
>>
>> Documentation of the lower level graphics commands to make it easier for users to extend the graphics capabilities.
>>
>> Latent Class Analysis and Latent Transition Analysis with support for all types of manifest variables.
>>
>> Multivariate mixed-effects models
>>
>> Exploratory Factor Analysis with nominal/ordinal/non-normal variables
>>
>> Improved debugging tools (e.g., stepwise evaluator for programs, more informative error messages, etc...)
>>
>> New ways to generate samples of data with specified correlation structures/distributions
>>
>> I'm curious to see what other people have to say on this topic as well.
>>
>> Billy
>>
>> Sent from my iPhone
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-- 
Dr. Yuval Arbel
School of Business
Carmel Academic Center
4 Shaar Palmer Street,
Haifa 33031, Israel
e-mail1: yuval.arbel@carmel.ac.il
e-mail2: yuval.arbel@gmail.com
You can access my latest paper on SSRN at:  http://ssrn.com/abstract=2263398
You can access previous papers on SSRN at: http://ssrn.com/author=1313670

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