Hello List I'm trying to calculate the median period (in months) of a set of time intervals (between two interventions).
I have been playing with the lubridate package to create the intervals but I can't think of the right approach to get the median timeperiod. Toy code: library(lubridate) test <- c('08-04-22', '08-07-28', '09-03-02', '09-03-03', '09-01-30', '09-03-09', '10-02-24', '10-03-05') test <- ymd(test) intervals <- as.period(test[5:8] - test[1:4]) intervals [1] 9 months and 8 days 7 months and 9 days 11 months and 22 days [4] 1 year and 2 days How can I convert this 'period' object to months? From there I think I should just convert to 'numeric' and calculate the median. Garrett if you're out there - great package but could you help please!? Best iain > sessionInfo() R version 2.13.0 (2011-04-13) Platform: x86_64-pc-linux-gnu (64-bit) locale: [1] LC_CTYPE=en_GB.utf8 LC_NUMERIC=C [3] LC_TIME=en_GB.utf8 LC_COLLATE=en_GB.utf8 [5] LC_MONETARY=C LC_MESSAGES=en_GB.utf8 [7] LC_PAPER=en_GB.utf8 LC_NAME=C [9] LC_ADDRESS=C LC_TELEPHONE=C [11] LC_MEASUREMENT=en_GB.utf8 LC_IDENTIFICATION=C attached base packages: [1] stats graphics grDevices utils datasets methods base other attached packages: [1] lubridate_0.2.4 loaded via a namespace (and not attached): [1] plyr_1.5.2 stringr_0.4 ______________________________________________ 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.