Gentlepersons. I need some advice on handling a relatively large number of graphs in R. What I have is 128 graphs representing eight groups (each with 8 to 11 members) at four times (repeats) where each subject was asked four types of questions. In addition there are 20 groups which based on the same sample, each with from 3 to 6 members, tested at four points in time with the same set of questions. So, there are 448 different graphs.
It was a fairly complex matter of entering the data from the original forms (the data are old, collected in 1967), so I have written a program in Lazarus (a Pascal GUI interface) which takes care of checking and anonymization, where the end product is (at present) a long text file containing the graphs in iGraph matrix format. Other formats are possible, that is a minor matter. Each graph has a short descriptive name. I would prefer to use parts of iGraph (possibly other SNA packages as well) to analyse the structures using the R / RStudio interface. I am quite used to handle R, but have very limited experience with iGraph. So: Having to operate with 448 different files seems to be cumbersome, but of course possible. I would however prefer to have all the graphs in one database/file. I seem to remember having seen a reference to SQLite in this list, but are there better/simpler alternatives? How does one extract single graphs from the database? It would also be an advantage if the data base could be generated by the program written in Lazarus / Free Pascal and then accessed by R, but that transfer could be handled in several ways. Any suggestions? I am using a Mac OS X computer, where something like Wine may be installed to be able to run Windows programs. Tom Backer Johnsen Email: backer(at)psych.uib.no _______________________________________________ igraph-help mailing list [email protected] https://lists.nongnu.org/mailman/listinfo/igraph-help
