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 <[EMAIL PROTECTED]> 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 <[EMAIL PROTECTED]> 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@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 [[alternative HTML version deleted]] ______________________________________________ R-help@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.