Suzy,
Hard problem if you cannot increase memory RAM.
The command -ice- seems that generates the imputed dataset in
one dataset. This generates a final dataset which is m*initial_size.
You can generate just 1 imputed set in several trials:
forvalues i=1/10 {
ice x1 x2 x3 using imp`i', m(1)
}
Then you can use miest which is available at Gary King webpage
(http://gking.harvard.edu/amelia/amelia1/docs/mi.zip) .
Moreover you can take a look of his software Amelia
http://gking.harvard.edu/stats.shtml
I hope my suggestion helps you.
Rodrigo.
----- Original Message -----
From: "Suzy" <[email protected]>
To: <[email protected]>
Sent: Wednesday, June 14, 2006 2:06 PM
Subject: st: Stata Intercooled and memory requirements with micombine
command
I am attempting to conduct statistical analyses with m=10 imputations
via the ICE and micombine commands. I've generated the imp.dta file just
fine and can successfully upload it into Stata (slow ~ 1-2 minutes). I'm
using the micombine command to generate a simple regression output -
this works just fine with m=5 imputations. Stata cannot and/or will not
run the analysis on my PC with m=10 imputations.
I have Stata intercooled - version 9.2 fully updated.
My PC has 512mb RAM with virtual memory option. I've tried my best to
optimize my PC performance settings, though I'm not sure if my settings
are truly optimizing performance.
In Stata, I've adjusted the memory for 600m, matsize 800, dropped all
unnecessary variables and compressed the rest. In other words, I "think"
I've maximized Stata intercooled performance.
I ran a describe, short on the imputation dataset: imp.dta:
observations: 231,044
# var: 533
Size: 268,704,172 [57.3% memory free]
I have never had any performance problems for pictures, graphics,
videos, movies, or any analysis with Stata.
I would appreciate any help on optimizing my PC and Stata intercooled
performance for analysing m=10 or more imputations.
I sincerely hope I'm not doomed to needing to increase RAM or update to
Stata SE. Those are not viable options for me at this time!
Thanks for any help!
Suzy
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