"fmach__feromoni___vibrazione"))
> )
>
> # calculates the cumulative capture by type of trap + farm
> library(dplyr)
> vindicta_catture_cimici = vindicta_catture_cimici %>%
> group_by(trappola,azienda) %>% arrange(datetime) %>% mutate(cs =
>
Hello
I almost got through the problem in post "aggregation of irregular
interval time-series"
I just don't understand how to fix that when I try
''
with(datatable,ifelse(is.na(x),y,x))
''
if y is na
replaces me with 0
and not with na
Thank you
--
Perito agra
o not want to ask in ml the ready turnkey solution, but some ideas
of what could be the set of packages and functions that could be right
for me, and if anyone has been faced with such a problem.
Thank you
Enrico Gabrielli
Il giorno mer, 09/06/2021 alle 14.47 -0700, Bert Gunter ha scritto:
>
seems interesting to me
with DTSg
doing
x_periodic <- alter(x,na.status = 'explicit',from="2021-05-15
12:00:00",by="min")
colapply(x_periodic, fun = interpolateLinear)
I managed to create a vector with all interpolated hours
but with DTSg I still can't aggrega
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