this is also the sort of thing that EpiData does very well. That's what it was designed for: data entry with minimal errors. Also simplifies double data entry for error checking, if you need/want that.
--Chris Christopher W. Ryan, MD SUNY Upstate Medical University Clinical Campus at Binghamton 40 Arch Street, Johnson City, NY 13790 cryanatbinghamtondotedu PGP public keys available at http://home.stny.rr.com/ryancw/ Greg Snow wrote: > Stephen, > > . . . . . > > Going the database route is not that much to learn to get started. You can > use MSAccess, or the OpenOffice database, create a new table and enter the > names of each column along with the data type (this is a big advantage in > that it will not allow you to enter character data where numbers are > expected, forces dates to look like dates, etc.). It is not that much extra > work to enter valid levels for what will become factors (e.g. "Male" and > "Female" for sex, so that those are the only values allowed, my current > record for datasets entered by others using spreadsheets is 9 sexes). Then > you can pick up more as you go along, but setting up the first database to > enter data should only take you an hour or so to learn the basics. > > > -- > Gregory (Greg) L. Snow Ph.D. > Statistical Data Center > Intermountain Healthcare > [EMAIL PROTECTED] > 801.408.8111 > ______________________________________________ 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.
