Hello,
Something like this?
dat <- read.table(text="
20100914 08:01 3.74
20100914 08:11 3.74
20100914 08:21 3.71
20100914 08:31 4.39
20100914 08:41 3.74
")
dat
split(dat$V3, dat$V1)
This gives you a list where each element is a (1-dimensional) vector,
and each of those vectors can have any length, not necessarily the same.
Hope this helps,
Rui Barradas
Em 22-12-2012 10:58, Matthijs Daelman escreveu:
Hi
I have a time series of measurements: every 10 min. a value was logged.
The data look like:
20100914 08:01 3.74
20100914 08:11 3.74
20100914 08:21 3.71
20100914 08:31 4.39
20100914 08:41 3.74
This data spans several months.
I would like to group the data per day. In Matlab it is fairly easy to
obtain a cell array, of which the first column contains the date of
each day, and the second column contains a vector, that in its turn
contains all values for the corresponding day.
That looks like
14-9-2010 [3.74 3.74 3.71 4.39 3.74...]
15-9-2010 [...]
and so on.
Is it possible to create a similar data structure in in R? I was
thinking of a data frame, similar to the Matlab's cell array, but it
doesn't look like data frames can contain vectors. Something like a
two dimensional list would do the trick, I believe, but does that exist?
Thanks
Kind regards
Matthijs Daelman
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