The date you get using as.Date on a POSIXct value depends on the timezone. That
is, as.Date only pays attention to the underlying UTC seconds-since-epoch
value, so it ignores the timezone which can be unexpected for most people.
TL;DR as.Date is not the same as as.POSIXct( trunc( dtm, units="da
(Revealing my ignorance):
Simpler still than the as.POSIXct() idiom is just to use the as.Date
version:
out <- with(out, out [order(Group, id, as.Date(Date)),])
## all else the same...
Bert Gunter
"The trouble with having an open mind is that people keep coming along and
sticking things into i
It may not be necessary to insert the rows in that order -- R can identify
and use the information from the rows in in most cases without it.
So to combine the results as you described (the code you sent got garbled a
bit btw -- you should proofread more carefully in future), all you would
need to
Hi all,
I have the prediction for my test set which are forecasted Value for "4/1/2020"
for each match of "id" and "Group". I would like to add a fourth row to each
group by (Group,id) in my train set and the values for this row should come
from test set :
my train set:
structure(list(D
4 matches
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