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From |
Jeph Herrin <jeph.herrin@yale.edu> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: tips on reading large matrix from ASCII file? |

Date |
Tue, 02 Dec 2008 15:59:19 -0500 |

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 <junk@spandrel.net> 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/ >> > > * * 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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