search for: yearmonth

...0.255 2.830 4.425 1.645 12 2.335 0.840 0.795 1.890 0.145 1.700 0.260 2.160 2.300 2.220 What I want to do is to stack 2008 data underneath 2009 data, 2007 under 2008, 2006 under 2007, etc. I have so far figured out that I can do this with the following clumsy approach: a=stack(yearmonth,select=c(X2009,X2008)) b=stack(yearmonth,select=c(X2008,X2007)) x=as.data.frame(c(a,b)) write.table(x,"clipboard",sep=" ",col.names=NA) #then paste this back into Excel to get this values ind values.1 ind.1 1 0.275 X2009 1.285 X2008 2 0.41 X2009 3.85 X2008 3 1.915 X2009 3.99...

#this is a subset of a larger data frame and I am okay with subsetting it as there are redundant time stamps, but I would like to create a zoo object out of this and I am having a hard #time figuring out how to do this the date structure is year and then month x <- structure(list(Yearmonth = structure(c(12L, 24L, 1L, 13L, 14L, 3L, 15L, 4L, 16L, 5L, 17L, 6L, 18L, 7L, 19L, 8L, 20L, 9L, 21L, 10L, 22L, 11L, 23L), .Label = c("2006-02", "2006-03", "2006-04", "2006-05", "2006-06", "2006-07", "2006-08", "2006-09"...

Short: get rid of the loops I use and optimize runtime Dear all, I want to calculate for each row the amount of the month ago. I use a matrix with 2100 rows and 22 colums (which is still a very small matrix. nrows of other matrixes can easily be more then 100000) Table before Year month quarter yearmonth Service ... Amount 2009 9 Q3 092009 A ... 120 2009 9 Q3 092009 B ... 80 2009 8 Q3 082009 A ... 40 2009 7 Q3 072009 A...

...>rs for(i in 1:23){ rs[]<-r[]*i addLayer(s,rs)->s print(nlayers(s)) } timelst<-paste0(unlist(dt['year']),'-',unlist(dt['month'])) rts(s,time=as.yearmon(timelst))->rsts str(rsts at time) apply.monthly(rsts,mean) I was expecting that the statistics accept the yearmonth format of the timeslot, as it allows subsetting. Any suggestions? Thanks Herry [[alternative HTML version deleted]]

Hi all, I'm once again looking for search with date ranges. e.g. All entries before a certain date. I understand that Omega does this by adding keywords for each year, month and day number separately and construcing a big OR query year = 1980 or year = 1981 or year = 1982 .... or (year = 1983 and (month =1 or month = 2 ...)) I think Olly said he was considering adding something to Xapian,

...addLayer(s,rs)->s > print(nlayers(s)) > } > timelst<-paste0(unlist(dt['year']),'-',unlist(dt['month'])) > rts(s,time=as.yearmon(timelst))->rsts > str(rsts at time) > apply.monthly(rsts,mean) > > I was expecting that the statistics accept the yearmonth format of the timeslot, as it allows subsetting. > Any suggestions? > Thanks > Herry > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.c...

...addLayer(s,rs)->s > print(nlayers(s)) > } > timelst<-paste0(unlist(dt['year']),'-',unlist(dt['month'])) > rts(s,time=as.yearmon(timelst))->rsts > str(rsts at time) > apply.monthly(rsts,mean) > > I was expecting that the statistics accept the yearmonth format of the timeslot, as it allows subsetting. > Any suggestions? > Thanks > Herry > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.e...

...addLayer(s,rs)->s > print(nlayers(s)) > } > timelst<-paste0(unlist(dt['year']),'-',unlist(dt['month'])) > rts(s,time=as.yearmon(timelst))->rsts > str(rsts at time) > apply.monthly(rsts,mean) > > I was expecting that the statistics accept the yearmonth format of the timeslot, as it allows subsetting. > Any suggestions? > Thanks > Herry > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz....

...ustriais", id.num == 27864 ~ "alimentos", TRUE ~ series.name)) ipca <- ipca %>% select(data = ref.date, valor = value, series.name) %>% pivot_wider(names_from = "series.name", values_from = "valor") ipca_tsb <- ipca %>% mutate(data = yearmonth(data)) %>% arrange(data) %>% as_tsibble() ipca_ts <- ipca_tsb %>% ts_ts() ##Eviews and Gretl can easily import 'dta' files ---- ipca %>% foreign::write.dta("ipca.dta") #============================================================# #Model ---- #==...

..., "sally", "sally", "sally", "sally", "sally", "sally", "sally", "sally", "sally", "sally", "sally", "sally", "sally", "sally", "sally"), yearmonth = structure(c(2004.75, 2005, 2005.33333333333, 2005.66666666667, 2006, 2006.33333333333, 2006.66666666667, 2007, 2007.33333333333, 2007.66666666667, 2008, 2008.33333333333, 2008.66666666667, 2004.75, 2005, 2005.33333333333, 2005.66666666667, 2006, 2006.33333333333, 2006.66666666667,...

...rint(nlayers(s)) >> } >> timelst<-paste0(unlist(dt['year']),'-',unlist(dt['month'])) >> rts(s,time=as.yearmon(timelst))->rsts >> str(rsts at time) >> apply.monthly(rsts,mean) >> >> I was expecting that the statistics accept the yearmonth format of the timeslot, as it allows subsetting. >> Any suggestions? >> Thanks >> Herry >> >> [[alternative HTML version deleted]] >> >> ______________________________________________ >> R-help at r-project.org mailing list -- To UNSUBSCRIBE and...