On Tue, Jun 15, 2010 at 8:27 AM, skan <juanp...@gmail.com> wrote:
>
> Hello
>
> Where could I find examples on how to work with the time index in a
> timeseries or zoo series?
>
> Let say I've got this series
>
> DATA
> 1990-01-01 10:00:00 0.900
> 1990-01-01 10:01:00 0.910
> 1990-01-01 10:03:00 0.905
> 1990-01-01 10:04:00 0.905
> 1990-01-01 10:05:00 0.890
>
> .......................
>
> 2000-12-31 20:00:00 0.992
>
>
> How do I make simple calculations such as ... ?
> Calculate the mean of the first data every day. (mapply, for loop, tapply ?)
> Transform data to a table, with dates in one axis and times in the other.
>
There are three vignettes that come with zoo. vignette() lists their
names and vignette("zoo") displays the one called zoo (similarly for
the other two). Also see the help files: ?zoo, ?read.zoo,
?aggregate.zoo
and note the examples at the bottom of the help files.
Also library(help = zoo) lists the help files available.
Lines <- "1990-01-01 10:00:00 0.900
1990-01-01 10:01:00 0.910
1990-01-01 10:03:00 0.905
1990-01-01 10:04:00 0.905
1990-01-01 10:05:00 0.890
1990-01-02 10:00:00 0.940
1990-01-02 10:01:00 0.990"
library(zoo)
library(chron)
z <- read.zoo(textConnection(Lines), index = 1:2, FUN = function(x)
as.chron(paste(x[,1], x[,2])))
# take first data value for each day and then take their mean
mean(aggregate(z, as.Date, head, 1))
# create data frame from z made up of dates, times and value
# dates and times are chron package functions.
# (If you use a different date and time class then it would be different.)
data.frame(dates = dates(time(z)), times = times(time(z)), value = coredata(z))
______________________________________________
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.
