**Freigeist Blog - Jakobsweg, Pilgern und London » R**, and kindly contributed to R-bloggers)

I have started to work with R and STATA together. I like running regressions in STATA, but I do graphs and setting up the dataset in R. R clearly has a strong comparative advantage here compared to STATA. I was writing a function that will give me a (balanced) panel-structure in R. It then simply works by joining in the additional data.tables or data.frames that you want to join into it.

It consists of two functions:

timeVector <- function(starttime,endtime,timestep="months") { starttime<- as.POSIXct(strptime(starttime, '%Y-%m-%d')) endtime<- as.POSIXct(strptime(endtime, '%Y-%m-%d')) if(timestep=="quarters") { timestep="months" ret<-seq(from=as.POSIXct(starttime), to=as.POSIXct(endtime), by=timestep) quarter <- gsub("(^[123]{1}$)", 1, month(ret)) quarter <- gsub("(^[456]{1}$)", 2, quarter) quarter <- gsub("(^[789]{1}$)", 3, quarter) quarter <- as.numeric(gsub("(^[102]{2}$)", 4, quarter)) ret<-paste(year(ret),quarter,sep="-") ret<-unique(ret) } else { ret<-seq(from=as.POSIXct(starttime), to=as.POSIXct(endtime), by=timestep) } ret }

This first function generates the time-vector, you need to tell it what time-steps you want it to have.

panelStructure <- function(group,timevec) { tt<-rep(timevec,length(group)) tt2 <- as.character(sort(rep(group,length(timevec)))) mat <- cbind("group"=data.frame(tt2),"timevec"=data.frame(tt)) names(mat)<-c("group","timevec") mat }

This second function then generates the panel-structure. You need to give it a group vector, such as for example a vector of district names and you need to pass it the time vector that the other function created.

Hope this is helpful to some of you.

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**Freigeist Blog - Jakobsweg, Pilgern und London » R**.

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