[R] Getting a date out of an indice in a time series
Gabor Grothendieck
ggrothendieck at gmail.com
Mon Jan 11 23:47:29 CET 2010
You cannot faithfully map year and week to ts since years do not have
the same number of weeks and ts can only represent regular series. If
you wish to use ts for this and you want it to be faithful then use
ts(x) and 1 will represent the first week, 2 the second, etc. Then if
o is a Date class variable representing the origin and idx is an index
then o + 7 * idx or that shifted appropriately depending on where you
put the origin is the Date in question. If you are willing to go
beyond ts you could look at the tis package which provides facilities
for mapping to various regular series. tis does have facilities for
mapping to ts. Alternately if you are willing to represent your
series as an irregular series you could look at the zoo package. zoo
also has facilities for mapping to ts.
but using different assumptions.
On Mon, Jan 11, 2010 at 2:34 PM, Idgarad <idgarad at gmail.com> wrote:
> I have a weekly data set imported via:
>
> tsSource=ts(sh1$I000,start=c(2004,1),freq=52)
> I am now getting to some 'spit and polish' but I realize something I can't
> wrap my head around.
>
> Given an outlier I find at say tsSource[54] ... how can get translate index
> 54 into the date\week. I mean I can figure out obviously that entry 52 is
> last week of 2004 but since the data goes for many years week 251 is a tad
> bit tricky since there are some years with 53 weeks in a year. Is there a
> function that I am missing to give me a date (or even julian week #) from a
> time series object? Since I am generating graphs that should read "Week
> starting xxx/xxx/xxx" I was hoping there was a systematic way to retrive the
> date from the time series object. Any suggestions?
>
> [[alternative HTML version deleted]]
>
> ______________________________________________
> R-help at 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.
>
More information about the R-help
mailing list