great, I used the global option, and set the cut.off to 10, so now it
understands all years from 1913 to 2005 without a problem and, as per your
instructions in other threads, I got all the daily, monthly, yearly averages in
the proper way.
thank you so much!
Christina K.
ck4...@gmail.com
P Ple
Here is one more solution. chron has a global option,
chron.year.expand, that can be set to a function that will do the 2
year to 4 year translation. We can use it to change the cut.off to 20
(instead of 30). (Its important to set the option after the
library(chron) call since that call resets t
thanks a million for solving this problem for me! I really appreciate it.
best,
Christina K.
ck4...@gmail.com
P Please consider the environment - Do you really need to print this email?
On Mar 30, 2010, at 5:44 PM, Gabor Grothendieck wrote:
> The problem is that chron uses 30 as the cutoff yea
The problem is that chron uses 30 as the cutoff year for two digit
years. If the year is prior to 30 it adds 2000 to the two digit year
to get the 4 digit year and if the 2 digit year is 30 or more it adds
1900 to the two digit year to get the 4 digit year. In the line
marked # we convert
true, sorry, I posted a few minutes ago the code for going from 1929 to 1930,
and it is not working on my computer. so, when I use the full record, z goes
from 1930 to 2005, and then jumps to what it perceives to be 2013 and takes it
all the way to 2029 (when in reality it is 1913 to 1929)
Line
What is the problem? The code in your post seems to work fine:
> Lines <- "Date Time Value
+ 12/31/99 22:00:00 1.8
+ 12/31/99 23:00:00 1.9
+ 01/01/00 00:00:00 1.8
+ 01/01/00 01:00:00 1.7
+ 01/01/00 02:00:00 1.6
+ 01/01/00 03:00:00 1.5
+ 01/01/00 04:00:00 1.4
+ 01/01/00 05:00:00
I was wrong before not to check the turn of 1929 to 1930. So, here is what
happens:
Lines <- "Date Time Value
149014 12/31/29 21:00:00 1.4
149015 12/31/29 22:00:00 1.4
149016 12/31/29 23:00:00 1.5
149017 01/01/30 00:00:00 1.6
149018 01/01/30 01:00:00 1.7
149019 01/01/30 02:00:00
Truly sorry about before.
So, it works perfectly fine when I do it at the turn of the century, but still
when I try it on my full record, I get the same problem. Maybe it is reading in
the table in a wrong way. I just read it in as
DF <- read.table("myfile.dat", header = TRUE, as.is = TRUE)
m
Not for me.
Please provide your data and code in reproducible form as per last
line of every r-help message and the posting guide.
> Lines <- "Date Time Value
+ 01/01/13 00:00:00 1.6
+ 01/01/13 01:00:00 1.6
+ 01/01/13 02:00:00 1.6
+ 01/01/13 03:00:00 1.6
+ 01/01/13 04:00:00 1.6
+ 01
Dear all,
I have a time series of daily measurements that starts like this:
KWhourly[1:10,]
Date Time Value
01/01/13 00:00:00 1.6
01/01/13 01:00:00 1.6
01/01/13 02:00:00 1.6
01/01/13 03:00:00 1.6
01/01/13 04:00:00 1.6
01/01/13 05:00:00 1.6
01/01/13 06:00:00 1.6
01/01/13 0
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