On Thu, Apr 1, 2010 at 7:08 PM, Gabor Grothendieck
wrote:
> Perhaps something like this:
>
> library(zoo)
> library(chron)
> # read in data
>
> Lines1 <- "date time level temp
> 2009/10/01 00:01:52.0 2.8797 18.401
> 2009/10/01 00:16:52.0 2.8769 1
Gabor:
That is not the ideal solution, but it definitely works to provide me with
the "easier alternative". Thanks for the reply!
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Perhaps something like this:
library(zoo)
library(chron)
# read in data
Lines1 <- "datetimelevel temp
2009/10/01 00:01:52.0 2.8797 18.401
2009/10/01 00:16:52.0 2.8769 18.382
2009/10/01 00:31:52.0 2.8708 18.309
2009/10/01 00:46:52.0
Hi,
I have a time series problem that I would like some help with if you have
the time. I have many data from many sites that look like this:
Site.1
datetimelevel temp
2009/10/01 00:01:52.0 2.8797 18.401
2009/10/01 00:16:52.0 2.8769 18.382
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