Putting all the information in one row is going to be the easest for data entry and for analysis.
If it's easier you can enter the task information in one data set and the questionnaire in another (with the same unique id ) and merge the data sets later if you need to. All you want is the data in a form that you can read into R, probably as a data.frame. Then do any data manipulations that you want. --- Thomas Levine <[EMAIL PROTECTED]> wrote: > I'm just learning how to use R right now, so I'm not > sure what the most > efficient way to organize these data is. > > I had subjects perform the same task twice with > slight changes between the > rounds. I want to analyze differences between the > rounds. All of the > subjects also answered a questionnaire. > > Putting all of one subject's information on one row > seems sloppy. > > I was thinking about making a three-dimensional > array with subject number, > round and measurement as axes, but then the > differences would have to be the > third column in the round axis, which also seemed > messy. Also, I would have > duplicates of all of the information from the > questionnaire, which seems > inefficient. > > Or maybe I could just use a matrix where round is > just another column among > all of the measurements. This is similar to the > previous arrangement, but I > don't know which is better. It still has all of the > duplicated information > that the previous method has. > > Anyway, I'm sure someone's done this before, so I'd > like to see what other > people have done for data like these. > > Thomas Levine > > [[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. > ______________________________________________ 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.
