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/
>
--
Stas Kolenikov, also found at http://stas.kolenikov.name
Small print: I use this email account for mailing lists only.
*
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