j.k wrote:
Hello alltogheter,
I have the following problem and maybe someone can help me with it.
I have a list of values with times. They look like that:
V1 V2
1 2008-10-14 08:45:00 94411.08
2 2008-10-14 08:50:00 90745.45
3 2008-10-14 08:55:00 82963.35
4 2008-10-14 09:00:00 75684.38
5 2008-10-14 09:05:00 78931.82
6 2008-10-14 09:20:00 74580.11
7 2008-10-14 09:25:00 69666.48
8 2008-10-14 09:30:00 77794.89
I have these data combined from different series of measurements.
As you can see the problem is that between these series are gaps which I
want to fill.
The format of the time is POSIXct
Are there any suggestions how I can fill these missing times and afterwards
interpolate/predict their values?
1. Generate a second data.frame with a sequence of all timestamps you
want to have and merge() afterwards.
2. Don't know which method is good for imputation / prediction on your
data, hence cannot answer the second part of the question.
Uwe Ligges
Thanks in advance
Johannes
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
