The following function does work, but the last as.Date part was more or less an result of trial and error that do not understand fully.
### This function creates a real date column out of year / period that is saved in
### in separate columns, plus it handles a 13th period in case of overlapping period
### terminology. Turns quarters into months.
realDate <- function (table,year="year_col",period="period_col"){
if (is.character(table) == TRUE)
{
dframe <- get(table)
}
else{
dframe <- table
}
x <- expression({resDate <- with(dframe,
as.Date(paste(get(year),"-",
ifelse(get(period) > 9, get(period),
paste("0", get(period), sep = "")),
"-01", sep = "")))
})
y <- expression({resDate <- with(dframe,as.Date(paste(get(year) + 1,"-","01","-01",sep="")))})
#### I do not get this? Why do I have to do this?
a <- ifelse(get(period) == 13,eval(y),eval(x))
a <-as.Date(a, origin="1970-01-01")
return(a)
}
Instead I tried to do it like this (because it was more intuitively to me):
{ ....
ifelse(get(period) == 13,eval(y),eval(x))
return(resDate)
}
This returned the corrected values whenever the condition was FALSE (no) but returned NA if the condition was TRUE (yes). Why is that? And if I use the function above, why do I have to define the origin again? Why I even have call as.Date again?
EDIT:
a <- rep(2002:2010,2)
b <- rep(1:13,2)
d<-cbind(a,b[1:length(a)])
names(d) <- c("year_col","period_col")
P.S.: I found this thread on vectorized ifelse.