[R] Could someone recommend a package for time series?

jpm miao miaojpm at gmail.com
Mon Sep 29 11:47:25 CEST 2014


Thanks Pascal! It certainly helps!

2014-09-29 17:10 GMT+08:00 Pascal Oettli <kridox at ymail.com>:

> Hi Miao,
>
> You certainly will find useful answers here :
> http://cran.r-project.org/web/views/TimeSeries.html
>
> Regards,
> Pascal Oettli
>
> On Mon, Sep 29, 2014 at 6:05 PM, jpm miao <miaojpm at gmail.com> wrote:
> > Hi,
> >
> >    I've not used R for about one year and don't know well about the
> updates
> > on the time series-related package.
> >
> >   My primary job is to do economic/financial time series data analysis -
> > annual, monthly, daily, etc. I usually read data by the package
> > "XLConnect", which can read xls or xlsx files directly. It's excellent.
> > However I can't find a package to manipulate time series data. For
> example,
> > I just want to do an easy manipulation , e.g, to label the dates of the
> > data from , say, 1991M10 to 2014M07, and then extract part of the data,
> > say, 2005M01 to 2010M12 and do analysis. Is there any package work well
> for
> > my purpose?
> >
> >   I sometimes need to aggregate monthly data to quarterly data and I find
> > "aggregate" function helpful.
> >
> >   In the past I used packages xts, zoo and don't find it really user
> > friendly. Maybe I haven't mastered it; maybe there're some updates
> (which I
> > don't know) now. Could someone recommend a package or provide an example
> > (or just the document, I can read it) for my purpose?
> >
> >    Attached is an exemplary data set I talked about.
> >
> >    Thanks,
> >
> > Miao
> >
> > ______________________________________________
> > 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.
> >
>
>
>
> --
> Pascal Oettli
> Project Scientist
> JAMSTEC
> Yokohama, Japan
>

	[[alternative HTML version deleted]]



More information about the R-help mailing list