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Hi, I have a time series problem that I would like some help with if you have the time. I have many data from many sites that look like this: Site.1 date time level temp 2009/10/01 00:01:52.0 2.8797 18.401 2009/10/01 00:16:52.0 2.8769 18.382 2009/10/01 00:31:52.0 2.8708 18.309 2009/10/01 00:46:52.0 2.8728 18.285 2009/10/01 01:01:52.0

Hi, I know this can be done in Stata (which is quite messy) but I wanted to know if it can be done in R. So lets say I have a merged data set (I used the merge function by date for the attached two files), where all the missing values are filled with NAs (which is what the all.x=TRUE does). Is there any way to replace those NAs with the value of the latest row that contains a value? For

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