search for: timeindex

Dear all, I would like to have all unique combinations in the following matrix TimeIndex<- rbind (c(1,"Week_of_21_07-29_03"),           c(2,"Thursday_21_03"),           c(3,"Friday_22_03"),           c(4,"Saturday_23_03"),           c(5,"Sunday_24_03"),           c(6,"Monday_25_03"),           c(7,"Tuesday_26_03"...

Hi, all. I'm trying to create a plot that has a range of about an hour on the x axis, starting at about 10:15. I have a way I'm currently doing it but it's not working. this is what I want on the x axis: | | | | | | | | | | ---------------------------------------------- 10:15 10:25 10:35 10:45 10:55 11:05 11:15 what's the best way to plot this out like this? currently,

Hi R-helpers I want a function that performs the opposite of lag() with panel data. I have transformed my data before with pdata.frame(mydata, index=c("groupindex", “timeindex")) And then I’ve done lag(mydata, -1) but it doesn’t work. The error message was: Error in rep(1, ak) : invalid ''times'' argument Thank you in advance, Cecília Carmo [[alternative HTML version deleted]]

...(x,y) theta<-cbind(x,z) ccf(ts(mat1[,4]),ts(mat1[,j]),lag.max=24,type='correlation',na.action=na.pass) that gives me "error in na.fail.default(as.ts(x)):missing values in object" In order to create the data frame I already intersected different time series so I know that the timeindex is the same for all rows and missing values were replaced by NA. Does that already impede creating a ts-object? Is there another possibility to perform the cross-correlation? Thanks in advance, Katharina -- ___________________ Katharina Appel Gro?e Weinmeisterstra?e 30 14469 Potsdam Tel.: 0331...

Hi all, I'm trying to make an integer-backed quarter (as in fraction of year) class, but I can't quite it to work. I want integer-backed so I don't have to worry about floating-point effects when doing math, and so that I can use it as in data.table. First of all, is there a good reference for this anywhere? All of the S4 tutorials that I've found have been too high-level, and