Two things:
1. I ran the empty model (no predictors) using -xtmelogit-
and it was still going after 24 hours. I have dozens of models
to run; HLM6 did them all in less than 20 minutes total.
Not sure if that counts as functionality.
2. As for my code, check to see what "exactly"
mat input A = (3 -5)
mat li A
produces. Not quite what you expected; the -input- qualifier
obviates the commas.
cheers,
Jeph
Stas Kolenikov wrote:
> Uhm... just an idea: re-run the analysis using -xtmixed- and -post- to
> work out any summaries of any particular analysis that you need as you
> go?.. Or is there some functionality not present in -xtmixed- that
> only HLM offers?
>
> As for your code, check to see what exactly
>
> mat A = (3 -5)
> mat li A
>
> produces. Not quite what you expected; you'd need to put commas
> between the matrix values.
>
> On 12/2/08, Jeph Herrin <[email protected]> wrote:
>> Solved, but there may be better ways:
>>
>> I used -file- to read the ASCII file a line at a time
>> and write out a -do- file which contained the necessary
>> lines to -matrix input- the values. This works beautifully
>> in that the process is entirely automated. I did have to
>> create row vectors and combine them with "\", as the whole
>> matrix was too big to input at once. Here's the top of the
>> automatically generated -do- file; I then just run the do
>> file to create the vector and VC matrices:
>>
>>
>> #delimit ;
>> matrix input b = (
>> -1.9488158 -0.0874626 0.1785559 0.0304908 -0.0104287
>> -0.0703224 -0.1402648 -0.1590217 -0.1926564 -0.3406200
>> -0.4178385 0.0257852 -0.0065606 0.0570689 -0.0954522
>> 0.1280117 0.0992062 0.0927456 0.0836843 0.0516530
>> 0.0455983 0.0205244 -0.0223471 -0.0603116 -0.0759259
>> -0.0762618 -0.0953297 -0.1421571 -0.1698843 0.3499212
>> 0.2285282 0.2955863 0.0175301 0.7239078 0.2099990
>> 0.2993378 0.3490949 1.0163712 0.2478369 0.3167427
>> -0.3050866 -0.2854428 1.6223277 -0.0351432 0.1986832
>> 0.2789393 0.2540214 -0.0226724 -0.2104767 -0.0402748
>> 0.0700727 0.0355059 0.0453931 -0.2231259 0.0576488
>> 0.0559482 0.1819322 0.4569752 0.4768460 1.7106584
>> 2.3341741 2.0369928 -0.0271400 0.0421754 -0.0549200
>> ) ;
>>
>> And so on.
>>
>> cheers,
>> Jeph
>>
>>
>>
>>
>> Jeph Herrin wrote:
>>
>>> I've used HLM6 to run a large number of mixed effects models,
>>> each model producing an ASCII file which contains the fixed
>>> effects and variance-covariance matrix. There are 60+ variables,
>>> but for whatever reason HLM6 only writes 60 values per line,
>>> so one ASCII file (with 65 terms) looks like this
>>>
>>>
>>> F1 F2 .. .... ... F60
>>> F61 F62 F63 F64 F65 // 65 coeffs on two rows
>>> V11 V12 .. .... ... V160
>>> V161 V162 V163 V164 V165 // then 65x65 VC entries on
>>> V21 V22 .. .... ... V260 // 2 x 65 lines
>>> V261 V262 V263 V264 V265
>>> .
>>> .
>>> .
>>> V651 V652 .. .... ... V6560 // last row of VC matrix on
>>> V6561 V6562 V6563 V6564 V6565 // two lines
>>>
>>> (where the ASCII file doesn't have the comments).
>>>
>>> Since this is a fairly rigid format that depends only on
>>> N, the number of covariates, I thought it would be a small
>>> matter to -infile- this with a -dct- file and store it as
>>> a matrix. However, -infile- requires me to write out every
>>> single variable name, and to modify the number of variables
>>> in the -dct- file according to the number of covariates.
>>>
>>> In the past, I have used PERL to parse these files, but
>>> I'm doing this on a new box and figured instead of reinstalling
>>> PERL I'd try to sort it out in Stata. Is there an easier way
>>> convert this file to a matrix (actually a vector for the first
>>> two lines and a matrix for the remainder)?
>>>
>>> Thanks for any suggestions.
>>>
>>> Jeph
>>> *
>>> * For searches and help try:
>>> * http://www.stata.com/help.cgi?search
>>> * http://www.stata.com/support/statalist/faq
>>> * http://www.ats.ucla.edu/stat/stata/
>>>
>>>
>> *
>> * For searches and help try:
>> * http://www.stata.com/help.cgi?search
>> * http://www.stata.com/support/statalist/faq
>> * http://www.ats.ucla.edu/stat/stata/
>>
>
>
*
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