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Filled up your hard disk?
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Those desiring my consulting or training services please feel free to email me. --- "Nolite dare sanctum canibus neque mittatis margaritas vestras ante porcos ne forte conculcent eas pedibus suis." Cum es damnatorum possederunt porcos iens ut salire off sanguinum cliff in abyssum?" |
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Hmmm, Spring has sprung: Maybe time for spring cleaning.
1. I would move as much as possible from your primary disk to the external. Delete from primary and then try again. and/or 2. If you are creating TONS of variables in the aggregate then possibly break it into 2-3 smaller pieces and merge the files later. 3. Possibly redirect the TEMP directory to the External.
Please reply to the list and not to my personal email.
Those desiring my consulting or training services please feel free to email me. --- "Nolite dare sanctum canibus neque mittatis margaritas vestras ante porcos ne forte conculcent eas pedibus suis." Cum es damnatorum possederunt porcos iens ut salire off sanguinum cliff in abyssum?" |
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I will be out of the office March 26-29, 2012. I will have very limitted access to e-mail, but I will respond as quickly as possible. Thank you, Katie Fleming |
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In reply to this post by Deepanshu Bhalla
Please define "not working".
I suggested 3 possibly overlapping strategies. Which did you try? What exactly is the AGGREGATE command you are submitting? ---
Please reply to the list and not to my personal email.
Those desiring my consulting or training services please feel free to email me. --- "Nolite dare sanctum canibus neque mittatis margaritas vestras ante porcos ne forte conculcent eas pedibus suis." Cum es damnatorum possederunt porcos iens ut salire off sanguinum cliff in abyssum?" |
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It takes a lot of disk space and computing time because you
have "5 million data" which I assume indicates the number of lines, and you have (apparently) a whole lot of variables, on which you are doing a whole lot of aggregates. You *should* be using a presorted file, and specifying "presorted" for the aggregate, or you are wasting time in every run for the simple Sort that has to be done for Aggregate. One old-style aid, back when everyone had slow computers and (therefore) slow computing time, would be to create a much smaller Test-file. Since you are doing aggregates, it could be better to take (say) the first 50 000 lines, rather than take a 1% sample. Then you work out your syntax and procedures with a smaller file and less waiting, before applying it to the original dataset. The huge number of Aggregates implies that you are doing data mining. The problem you mentioned, having "Sysmis" that are unexplained, suggests that you may not have cleaned up your data before starting this phase. A rule of thumb for data-mining is that you spend 90% of your time in data-cleanup, for the 10% in analysis and interpretation. I suspect that the fraction for clean-up is even larger when you have an inordinately large set of miscellaneous variables. Have you done a full set of univariate screens on the data? and looked at a few, obvious bi-variate tabulations, to confirm that the data consist of what you expected? - When I see a very large number of variables, I do wonder if there is better file organization possible, at least for the purpose of screening and editing. For instance, you may want multiple time periods in one record, for doing repeated measures testing; but a vertical, multiple-record format means that you cut the number of screened variables by 3 or 5 or 10-fold, whatever the number of repetitions is. -- Rich Ulrich > Date: Sun, 25 Mar 2012 09:47:30 -0700 > From: [hidden email] > Subject: Re: Insufficient Space > To: [hidden email] > > I tried first and second suggested methods but the issue still persist . > > In first method the error is not coming up but all the variables are > sysmissed out and taking hell lot of time to run the code (SYSTEM CONFIG : > I5 processor ,6 GB DDR3 RAM) > > In second method SPSS got hanged after running the syntax for 2 hours. > > I am submitting 2472 FIN MEAN N functions in Aggregate command . > |
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