Dear R users,
I have a data frame with daily snow cumulates (these quantities are known as
"hn" and are expressed in cm), from the 1st of December to the 30th of April,
for more than twenty years.
I would need to find days when the sum of a given short interval (I might
choose two consecutive days, three consecutive days or something like that) is
higher than a threshold (it might be 80 cm, or 100 cm).
I am trying with rle, but I really struggle to find an efficient algorithm.
Could somebody help me with some hints?
Thank you for your attention and your help
Stefano
init_day <- as.POSIXct("2018-02-01", format="%Y-%m-%d", tz="Etc/GMT-1")
fin_day <- as.POSIXct("2018-02-20", format="%Y-%m-%d", tz="Etc/GMT-1")
mydf <- data.frame(data_POSIX=seq(init_day, fin_day, by="1 day"))
mydf$hn <- c(30, 0, 10, 50, NA, 40, 70, 0, 0, 0 , NA, 10, 50, 30, 30, 10, 0, 0,
90, 0)
- if I choose a threshold of 100 cm in two days, I should get the 6th of
February;
- if I choose a threshold of 80 cm in two days I should get the 6th and the
13th of February, but not the 19th of February because this is a single day;
- f I choose a threshold of 100 cm in four days, I should get the 12th of
February.
(oo)
--oOO--( )--OOo--------------------------------------
Stefano Sofia PhD
Civil Protection - Marche Region - Italy
Meteo Section
Snow Section
Via del Colle Ameno 5
60126 Torrette di Ancona, Ancona (AN)
Uff: +39 071 806 7743
E-mail: stefano.so...@regione.marche.it
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