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From | Joerg Luedicke <joerg.luedicke@gmail.com> |
To | statalist@hsphsun2.harvard.edu |
Subject | Re: st: How to save results as .dat file |
Date | Thu, 24 Jan 2013 00:02:51 -0500 |
As all -ereturn- programs, GLLAMM stores a number of estimation results in e(). Type -ereturn list- after running GLLAMM to see what's there. For example, coefficients are stored in e(b), variances and covariances can be obtained from e(V). What you then could do is to store the desired results in a matrix from which you can create a Stata dataset which then can be saved in the desired format. Consider the following example where we create an empty matrix first, with 10 rows and 3 columns (and label the columns). We then run GLLAMM 10 times and each time around we put the results into one row of the matrix: *-------------------------------------- clear use http://www.stata-press.com/data/r11/childweight.dta mat myest = J(10,3,.) mat colnames myest = model b_age se_age forval i = 1/10 { qui gllamm weight age girl, i(id) mat b = e(b) mat v = e(V) mat myest[`i',1] = `i' mat myest[`i',2] = b[1,1] mat myest[`i',3] = sqrt(v[1,1]) qui replace age = age / `i' } *-------------------------------------- You can look at the matrix by typing (see -help matrix-): mat list myest Finally, you can create a dataset with svmat myest, names(col) using the column names from the matrix as variable names (see -help svmat-), after which you can save the dataset. Joerg On Wed, Jan 23, 2013 at 11:04 PM, Cai,Zhuangyu <zycai@ufl.edu> wrote: > Dear Stata users, > > I have to run GLLAMM 100 times in my code. How do I save the coefficient, > standard errors, vanriance and covariance of random effect generated by > GLLAMM everytime into a data set? Thanks for help. > > Zhuangyu > * > * For searches and help try: > * http://www.stata.com/help.cgi?search > * http://www.stata.com/support/faqs/resources/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/faqs/resources/statalist-faq/ * http://www.ats.ucla.edu/stat/stata/