Hi all, New to R, so this may be obvious to some. I've been trying to figure this out for a while, I have a dataset "events" that looks something like this:
Area NAME DATE X Xn Y 1 X 1/10/10 1 1 0 1 Y 1/11/10 0 0 1 1 X 1/12/10 1 0 0 1 X 1/12/10 1 0 0 1 X 1/12/10 1 0 0 2 X 2/12/10 1 1 0 2 X 2/12/10 1 0 0 2 Y 2/12/10 0 0 1 2 X 2/13/10 1 0 0 2 X 2/13/10 1 0 0 2 X 2/13/10 1 0 0 2 X 2/14/10 1 0 0 2 X 2/14/10 1 0 0 2 X 2/14/10 1 1 0 2 X 2/14/10 1 0 0 3 X 7/27/11 1 0 0 3 X 7/27/11 1 1 0 3 X 7/27/11 1 0 0 3 X 7/28/11 1 0 0 3 X 7/28/11 1 1 0 3 X 7/28/11 1 0 0 3 X 7/28/11 1 0 0 3 Y 7/28/11 0 0 1 3 X 7/28/11 1 0 0 3 X 7/28/11 1 1 0 3 Y 7/28/11 0 0 1 3 X 7/28/11 1 0 0 3 X 7/29/11 1 0 0 3 X 7/29/11 1 0 0 3 X 7/29/11 1 1 0 X and Y are events. Every row represents a single event happening, with a 1 indicating which one happens at that time. Xn indicates X happening at night. I want to bootstrap these events over days but I think I need to summarize them first, ie. get something that looks like this: Area DATE X Xn Y 1 1/10/10 1 1 0 1 1/11/10 0 0 1 1 1/12/10 3 0 0 2 2/12/10 2 1 1 etc. and then for each Area, bootstrap the data over the days. Any ideas? I've tried using the 'reshape' package but I don't know how to sum over parts of the columns as defined by the DATE values... Many thanks ahead! -- View this message in context: http://r.789695.n4.nabble.com/Formatting-data-for-bootstrapping-for-confidence-intervals-tp4645860.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.
