[R] losing row.names in matrix operations

[rcoder]

Hi everyone,

I have a data frame, with the following format:

MatDate->
	row.names	ID1	ID2	ID3
1	date1
2	date1
3	date3
	etc

but I cannot perform a rollapply() statement on the matrix without
converting the matrix into a time series.
i.e. MatTs<-ts(MatDate)

Only then will my rollapply statement work:
MatMin<-rollapply(MatTs, 2,by=2, min, na.rm=F)

If I apply the rollapply() statement to the dataframe, I get the following
error: Error: could not find function "rollapply"

The problem is that when I convert the data.frame matrix into a time series
matrix, I lose the dates in the row.names column. I just want to know if
anyone could suggest a way to get around this problem, i.e. keep the
row.names column in place, and use the rollapply() statement as above.

Thanks,

rcoder
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