Re: st: Features for Stata 14

[Richard Williams <richardwilliams.ndu@gmail.com>]

Good idea. I will add

* Easier use of margins and marginsplot with multiple-outcome 
commands like mlogit and ologit. All this having to add 
predict(outcome(#1)), predict(outcome(#2)), etc. is a real pain. The 
user written routines -mfx2- and -margeff- made efforts to simplify 
things but overall they can't match the many other things margins can do.

* Have factor variables support more functions of variables, e.g. 
log(x), square root(x), x/y, etc.

* More foolproof installation procedures for network administrators 
who know nothing about Stata. Why? My classroom did not have Stata, 
so I requested it. So, they gave me Stata 12 and I said I wanted 
12.1. I'm not sure what they did, but rather than follow my -update 
all- instructions they did something else and now I have this weird 
hybrid of Stata 12 and 12.1. This isn't of much use to me because I 
get a fatal error when I run a regress command! Installing and 
updating seems pretty easy to me but if you can make it even easier 
for people who have to install dozens of different programs that would be nice.

At 10:00 AM 9/2/2013, William Buchanan 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

-------------------------------------------
Richard Williams, Notre Dame Dept of Sociology
OFFICE: (574)631-6668, (574)631-6463
HOME:   (574)289-5227
EMAIL:  Richard.A.Williams.5@ND.Edu
WWW:    http://www.nd.edu/~rwilliam

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