Thanks Jeremie My data has 40 entities clustered into 2 types (rural/urban) & two sub groups in each (bug/small).
Panel will give me for all 40 v/s time id. Suppose I need to see rural v/s time or big urban v/s time, then how should I obtain findings...? Kindly advise is possible. Thanks and regards, Deva -- sent from my handphone On Jan 10, 2018 10:50 PM, "Jérémie Juste" <jeremieju...@gmail.com> wrote: > Hello, > > Have a look at the plm package https://cran.r-project.org/ > web/packages/plm/index.html > It has a convenient way to structure your data into panel according to > some id. > > Best regards, > Jeremie > > > > On Wed, Jan 10, 2018 at 5:41 PM, deva d <devazresea...@gmail.com> wrote: > >> dear all, >> >> i need some help in structuring my data file for a hierarchical time >> series >> analysis. >> >> can someone help please ? >> >> i have a 600 row database in the nature of a panel data, with 3 time >> series >> values of interest. the data also has 4 classificatory variables >> comprising >> a code for each entity in the panel, a value for time (year), and >> classification of type of entity and a further sub-group of the type. >> >> i am unable to structure the data file for performing the hts analysis. >> >> thanks in advance. >> >> *....* >> >> *Deva* >> >> >> ............... >> >> >> >> *in search of knowledge, everyday something is added ....* >> >> *in search of wisdom, everyday something is dropped ... an old Chinese >> Proverb* >> ::::::::::::::::::::::::: >> >> [[alternative HTML version deleted]] >> >> ______________________________________________ >> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see >> https://stat.ethz.ch/mailman/listinfo/r-help >> PLEASE do read the posting guide http://www.R-project.org/posti >> ng-guide.html >> and provide commented, minimal, self-contained, reproducible code. >> > > > > -- > Jérémie Juste > [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.
