Created
January 9, 2022 13:25
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## Using as.Date with an arbitrary year you can define each peirod | |
pre.emg.period=seq(as.Date("2021-03-01"),as.Date("2021-03-20"),"1 days") | |
emg.period=seq(as.Date("2021-03-21"),as.Date("2021-04-14"),"1 days") | |
mate.period=seq(as.Date("2021-04-15"),as.Date("2021-05-15"),"1 days") | |
gest.period=seq(as.Date("2021-05-16"),as.Date("2021-08-23"),"1 days") | |
post.part.period=seq(as.Date("2021-08-24"),as.Date("2021-10-31"),"1 days") | |
# fake data | |
dat=data.frame(Date=seq(as.Date("2019-01-01"),as.Date("2022-12-31"),"1 days")) | |
dat$Yr=as.numeric(format(dat$Date,'%Y')) | |
## A nested ifelse statement combined with different periods will delineate your periods | |
dat$period=with(dat,ifelse(format(Date,"%m-%d")%in%format(pre.emg.period,"%m-%d"),"pre.emergence", | |
ifelse(format(Date,"%m-%d")%in%format(emg.period,"%m-%d"),"emergence", | |
ifelse(format(Date,"%m-%d")%in%format(mate.period,"%m-%d"),"mating", | |
ifelse(format(Date,"%m-%d")%in%format(gest.period,"%m-%d"),"gestation", | |
ifelse(format(Date,"%m-%d")%in%format(post.part.period,"%m-%d"),"post.partum",NA | |
)))))) | |
## Sanity check | |
library(plyr) | |
ddply(dat,c("Yr","period"),summarise,min.date=min(Date),max.date=max(Date)) |
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