Jaume wrote:Hello,
I am trying to obtain the variance-covariance of a multi-state model with a relatively large number of "real parameters" (470). Two of the three output options in MARK, write to NOTEPAD and Copy to Clipboard, produce error messages on lack of memory and crash the program (the memory of the system I am using is ca. 1500 Mb.).
Well, that actually isn't a lot of memory - I have colleagues working with *large* multi-state data sets that have their computers loaded up for 4 GB of RAM, or better.
But, more to the point - first approach to solving the problem is in recognizing that the standard notepad in Windows is pretty useless. My generally recommendation is to simply replace it with something 'real'. This is easy to do. All you need to do is (i) locate notepad.exe on your machine (on a 'typical' XP machine, notepad.exe is found in in several places, so you may need to fool around a bit to figure out which one MARK uses), (ii) rename notepad.exe to notepad.exe.original (or some such), then (iii) rename the executable for the free editor you install to notepad.exe. EditPad Lite (available at
http://www.editpadpro.com) works quite well for this. Once youve made this switch, now any call to notepad will start up the new, better editor.
Once you have something better than Notepad, try to open your file again - this *trick* might (and often will) solve your problem. Failing that...
The third option, writing up the matrix in a dbf file works out fine, but I do not have Dbase to open it. When I import the dbf file into Excel the file is trimmed because Excel only allows for 253 columns (and this model has more than 400). In trying to import this file into Acces, I find that Acces does not recognise the file. Are there any good tips on how to read a dbf file without Dbase?
Well, I use SAS for this purpose, but you can do it fairly easily in [R], which is free. Of course, this means installing and learning to use [R], but sooner or later, you'll need *real* tools (like SAS, or S-Plus, or [R]), not Excel, so you might as well decide sooner, rather than later, to invest some time in learning to use one of the many that are available. If you use the [R] approach, you'll need to install the RODBC package, which lets [R] handle ODBC format data files (Excel, dBase, etc...).