Dear R-list users,
I've got problems to use the function aggregate.
Here there is an example:
mydf <- data.frame(Data=seq(as.POSIXct("2003-01-01", format = "%Y-%m-%d",
tz="Etc/GMT-1"), as.POSIXct("2023-12-31", format = "%Y-%m-%d", tz="Etc/GMT-1"),
by="1 day"), daily_mean = round(runif(7670, 0, 2), digits=2))
mydf$yearly_sum <- unlist(aggregate(daily_mean~as.integer(format(mydf$Data,
"%Y")), data=mydf, cumsum)[2], use.names = FALSE)
The column "yearly_sum" is the sum of the column "daily_mean" with a reset at
the beginning of each year.
If for my analysis I want to remove the 29th of February, "yearly_sum" does not
work anymore:
mydf1 <- data.frame(Data=seq(as.POSIXct("2003-01-01", format = "%Y-%m-%d",
tz="Etc/GMT-1"), as.POSIXct("2023-12-31", format = "%Y-%m-%d", tz="Etc/GMT-1"),
by="1 day"), daily_mean = round(runif(7670, 0, 2), digits=2))
mydf1 <- mydf1[format(mydf1$Data, "%m-%d") != "02-29", ]
mydf1$yearly_sum <- unlist(aggregate(daily_mean~as.integer(format(mydf1$Data,
"%Y")), data=mydf1, cumsum)[2], use.names = FALSE)
In this case the column "yearly_sum" does not sum the values, and honestly I do
not understand what is happening. Why?
Could somebody help me? I already spent a big amount of hours with no success.
Thank you for your attention and you help
Stefano
(oo)
--oOO--( )--OOo--------------------------------------
Stefano Sofia MSc, PhD
Civil Protection Department - Marche Region - Italy
Meteo Section
Snow Section
Via Colle Ameno 5
60126 Torrette di Ancona, Ancona (AN)
Uff: +39 071 806 7743
E-mail: [email protected]
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