I'm reading in ~3 years worth of data that includes hourly timestamps.
Presumably to avoid DST confusion, all the data is in PST time zone -- no
discontinuities in the spring or fall.
The data comes in a csv file, which I'm reading with
myvariable <- read.csv("my_data_file.csv",header=FALSE,
col.names=c("timedate","values"),colClasses=c("POSIXct","numeric"))
The time zone comes in as PST or PDT, as appropriate. That leads to
problems in the spring:
> temps$timedate[2185:2190]
[1] "2006-04-02 00:00:00 PST" "2006-04-02 01:00:00 PST"
[3] NA "2006-04-02 03:00:00 PDT"
[5] "2006-04-02 04:00:00 PDT" "2006-04-02 05:00:00 PDT"
I presume it gets PST/PDT from my (Windows) system; I can't set it with >
force_tz(ymd_hms("2007-03-11 01:00:00"),tzone="PST") (from the lubridate
package), but see
> force_tz(ymd_hms("2006-04-02 01:00:00"),tzone="America/Los_Angeles")
[1] "2006-04-02 01:00:00 PST"
What I'd like to do is keep all the time in standard time so I don't lose
the 2 a.m. data. Presumably the damage is done by the time it's read in.
For example,
> force_tz(temps$timedate[2185:2190], tzone="UTC")
[1] "2006-04-02 00:00:00 UTC" "2006-04-02 01:00:00 UTC"
[3] NA "2006-04-02 03:00:00 UTC"
[5] "2006-04-02 04:00:00 UTC" "2006-04-02 05:00:00 UTC"
Any advice?
Thanks,
Bill
______________________________________________
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.
