Displaying 3 results from an estimated 3 matches for "time_0".
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2012 Aug 03
1
How can I read time series data to create zoo objects if I have two title lines?
Hello,
This is a standard example in which I read the time series data from a
csv file and create a zoo object:
x0 <- read.csv(file="CPI.csv", header=TRUE)
time_0<-as.yearmon("1981-01")+(0:371)/12
x0zoo<-zoo(x0, time_0)
The data look like this:
TIME CPI CPI_food CPI_Clothes CPI_House CPI_Rent 198101 62.1 55.34
103.45 65.24 61.43 198102 63.16 56.95 103.21 65.77 61.49 198103 63.44
56.98 103.25 66.44 61.98 198104 63.69 57.41 103.55...
2015 Jan 20
2
Question on "single writer, multiple reader"
On Sun, Jan 18, 2015 at 04:25:29PM +0000, James Aylett wrote:
> That?s exactly how it?s supposed to work. ?Eventually? (once the
> writer gets sufficiently far ahead of the reader), the reader will get
> a DatabaseModifiedError and will have to re-open the database, but
> until then it?s up to it when it does so. You may wish to do it every
> N requests, or every K seconds, or only
2012 May 04
1
zoo package; a question on as.yearmon and as.yearqtr
Hello,
In zoo package, if I would like the time frame to be 1981M01 to 1982M12,
then I code
time_0<-as.yearmon("1981-01")+(0:23)/12
However, if the time frame of interest becomes 1981M01 to 2011M12, it is
relatively hard to calculate the number of months. Is there any faster way
to do it? Thanks,
miao
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