201005080300 2.44 233.86 1 0
> 2010-05-01 06:00:00 201005080600 0.96 194.43 1 0
> 2010-05-01 06:00:00 201005080900 1.76 138.89 1 0
> 2010-05-01 06:00:00 201005081200 2.79 146.98 1 0
> 2010-05-01 06:00:00 201005081500 3.45 226.90 1 0
> 2010-05-01 06:00:00 201005081800 2.5
One option would be, after you have converted one of your date/time
variables (V2 I would assume) to POSIXct class, you can use the interp()
function in the akima package for linear interpolation between adjacent
time points.
-Don
--
Don MacQueen
Lawrence Livermore National Laboratory
7000 East
Can you provide a dput() example of your data and put it in a workable
form -- I have no idea what that long list of numbers nor the 1 / 0 on
the end represent. I think if you do this with a real time series
class like xts you can create a new object with the interpolated
times; fill in the values
On Nov 16, 2011, at 8:56 AM, abcdef ghijk wrote:
I have a huge data set in the form of
V1 V2 V3 V4 V5 V6
1 2010050120100501 1.68291.38 1 0
2 20100501201005010300 0.93335.10 1 0
3 20100501201005010600 2.25 57.38 1 0
4 2010050
I have a huge data set in the form of
V1 V2 V3 V4 V5 V6
1 2010050120100501 1.68291.38 1 0
2 20100501201005010300 0.93335.10 1 0
3 20100501201005010600 2.25 57.38 1 0
4 20100501201005010900 0.43 13.76 1 0
5 20100501
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