From: jim holtman <jholtman_at_gmail.com>

Date: Tue, 04 Mar 2008 07:40:13 -0500

Date: Tue, 04 Mar 2008 07:40:13 -0500

One of the things you might take a look at is the 'filehash' package. It is an easy way of storing/retrieving R objects. I have an application where my objects are matrices of about the same size and I can quickly store the data and then come back later with a different script to do further analysis.

On 3/3/08, Davood Tofighi <dtofighi_at_asu.edu> wrote:

> Thanks for your reply. For each condition, I will have a matrix or data

*> frames of 1000 rows and 4 columns. I also have a total of 64 conditions for
**> now. So, in total, I will have 64 matrices or data frames of 1000 rows and 4
**> columns. The format of data I would like to store would be data frames or
**> matrices. I also would like to store the data for later use, e.g., a plot of
**> the empirical distribution of the chi^2, or to compute the power of Chi^2
**> across 1000 reps for each condition.
**>
**> On Mon, Mar 3, 2008 at 7:03 PM, jim holtman <jholtman_at_gmail.com> wrote:
**> > What is the format of the data you are storing (single value,
**> > multivalued vector, matrix, dataframe, ...)? This will help formulate
**> > a solution. What do you plan to do with the data? Are you going to
**> > do further analysis, write it to flat files, store it in a data base,
**> > etc.? How big are the data objects you are manipulating?
**> >
**> >
**> >
**> >
**> > On Mon, Mar 3, 2008 at 7:05 PM, Davood Tofighi <dtofighi_at_asu.edu> wrote:
**> > > Dear All,
**> > >
**> > > I am running a Monte Carlo simulation study and have some questions on
**> how
**> > > to manage data storage efficiently at the end of each 1000 replication
**> loop.
**> > > I have three conditions coded using the FOR {} loops and a FOR loop that
**> > > generates data for each condition, performs analysis, and computes a
**> > > statistic 1000 times. Therefore, for each condition, I will have 1000
**> > > statistic values. My question is what's the best way to store the 1000
**> > > statistic for each condition. Any suggestion on how to manage such
**> > > simulation studies is greatly appreciated.
**> > > Thanks,
**> > >
**> > > --
**> > > Davood Tofighi
**> > > Department of Psychology
**> > > Arizona State University
**> > >
**> > > [[alternative HTML version deleted]]
**> > >
**> > > ______________________________________________
**> > > R-help_at_r-project.org mailing list
**> > > https://stat.ethz.ch/mailman/listinfo/r-help
**> > > PLEASE do read the posting guide
**> http://www.R-project.org/posting-guide.html
**> > > and provide commented, minimal, self-contained, reproducible code.
**> > >
**> >
**> >
**> >
**> > --
**> > Jim Holtman
**> > Cincinnati, OH
**> > +1 513 646 9390
**> >
**> > What is the problem you are trying to solve?
**> >
**>
**>
**>
**> --
**> Davood Tofighi
**> Department of Psychology
**> Arizona State University
**> P.O. BOX 871104
**> Tempe, AZ 85287-1104
**> Tel.:480-727-7884
*

-- Jim Holtman Cincinnati, OH +1 513 646 9390 What is the problem you are trying to solve? ______________________________________________ R-help_at_r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.Received on Tue 04 Mar 2008 - 12:48:10 GMT

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