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...intervals, I need to filter my predicted dataset based on the measurement date of my observed data. Here, is an example similar to what I have library(chron);library(zoo) DATE<- seq(as.Date("2009-01-01"), as.Date("2009-05-01"), by = 1) mydat<- rnorm(length(DATE), 20,5) myzoo<- zoo(mydat, order.by = DATE) DATE2<- seq(as.Date("2009-01-01"), as.Date("2009-01-30"), by = 7) Now I need to create a new zoo object with index as DATE2 and corresponding data values. Any kind of help will be highly appreciated. Thanks in advance you very much -- Ach...

...8 246 9 19 29 39 49 59 69 79 89 99 109 119 284 10 20 30 40 50 60 70 80 90 100 110 120 #The desired result would be a merged zoo object with the row names used as the colnames of the multiple zoo series test2<-matrix(test,nrow=12, byrow=F) g<-zoo(test2[,1],frequency=12) MYZOO <-merge(g,test2[,2:10]) # the result MYZOO is a zoo object, but we've lost the row names in the transformation of the matrix #So colnames(MYZOO)<-row.names(test) #Fixes that problem. Is there a more elegant way to do this??? # now this zoo object needs to be "swept" out of a...