2013/10/22 Gabor Grothendieck :
> Also note that the zoo package has two classes:
>
> 1. zoo for irregularly spaced series
> 2. zooreg for series with an underlying regularity but for which some
> of the points are missing (which seems to be the situation under
> discussion)
>
> The two classes are
My data is sampled once per minute. There are invalid samples, leaving
a lot of holes in the samples, successful sample is around 80% of all
minutes in a day. and during the last 4 months sampling, one month's
data was stored on a harddisk that failed, leaving a month's gap in
between.
So am I wor
2013/8/16 PIKAL Petr :
> It depends what unixtime is. At least str(df) can help.
Thanks. Indeed following you suggestion I found it easier to use than
summary() for debugging. Now I can properly handle POSIXct thanks to
the help I got from this list a few weeks ago:)
> I am not sure if it is the
2013/8/16 PIKAL Petr :
> You will get only general answer without some example data. Se Posting Guide.
Thanks. Yes I do expect general answer, because I feel this problem of
"unmatched samples" is ubiquitious, only that I don't have a good
Google keyword to dig myself.
> df.m <- merge(df1, df2, b
2013/8/15 Berend Hasselman :
> n[1,,drop=FALSE]
>
> Berend
Thanks a lot, and I wasn't aware I can do ?`[`
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