Hi all,
I wonder if there is any way to calculate a moving average on an irregular time series, or use the rollapply function in zoo? I have a set of dates where I want to check if there has been an event 14 days prior to each time point in order to mark these timepoints for removal, and can't figure out a good way to do it. Many thanks in advance! Gustaf Example data: exData<-structure(list(Datebegin = structure(c(14476, 14569, 14576, 14621, 14627, 14632, 14661, 14671, 14705, 14715, 14751, 14756, 14495, 14518, 14523, 14526, 14528, 14529, 14545, 14548), class = "Date"), Event = c(TRUE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, FALSE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE)), .Names = c("Datebegin", "Event" ), row.names = c(NA, 20L), class = "data.frame") ###In this example, row 18 is a date less than 14 days after an event and should be marked for removal. -- Gustaf Rydevik, M.Sci. tel: +46(0)703 051 451 address:Essingetorget 40,112 66 Stockholm, SE skype:gustaf_rydevik ______________________________________________ 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.