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mp_int
2013 Feb 18
1
Calculating seasonal anomalies
...y help
on how this can be achieved.
# sample of data frame
> dput(head(Dat, 10))
structure(list(open_date = structure(c(11742, 11966, 11987, 12001,
12015, 12029, 12043, 12064, 12085, 12099), class = "Date"), Dry_w = c(2.4,
14.05, 28.55, 20.76, 18.6, NA, 20.72, 18.47, 12.42, 25.57), PP_int = c(NA,
1281.52, 1352.15, 1333.05, 959.6, 738.24, 176.73, NA, 108.61,
518.42)), .Names = c("open_date", "Dry_w", "PP_int"), row.names = 166:175,
class = "data.frame")
# monthly climatology: mean and st.dev for each calender month
> (clim.m <- aggrega...