I posted a similar question, but feel it needs a bit more elaboration. I have a data frame (read from a csv file) that may have missing rows. Each day has 7 time intervals associated with it, with a range from 17:00 hrs to 18:00 hrs in 10 minute bins.
What I am looking for is a script that will run through the data frame and insert "NA"in the Volume column for any dates that are missing a time interval. For example: Date Time Camera Volume 57 2009-10-09 5:00:00 PM MANBRIN_RIVER_NB 210 58 2009-10-09 5:10:00 PM MANBRIN_RIVER_NB 207 59 2009-10-09 5:20:00 PM MANBRIN_RIVER_NB 250 60 2009-10-09 5:30:00 PM MANBRIN_RIVER_NB 193 61 2009-10-09 5:40:00 PM MANBRIN_RIVER_NB 205 62 2009-10-09 6:00:00 PM MANBRIN_RIVER_NB 185 Note that between row 61 and row 62, there is a missing time interval (5:50 PM). I want the data frame to look like this: Date Time Camera Volume 57 2009-10-09 5:00:00 PM MANBRIN_RIVER_NB 210 58 2009-10-09 5:10:00 PM MANBRIN_RIVER_NB 207 59 2009-10-09 5:20:00 PM MANBRIN_RIVER_NB 250 60 2009-10-09 5:30:00 PM MANBRIN_RIVER_NB 193 61 2009-10-09 5:40:00 PM MANBRIN_RIVER_NB 205 *62 2009-10-09 5:50:00 PM MANBRIN_RIVER_NB NA* 62 2009-10-09 6:00:00 PM MANBRIN_RIVER_NB 185 Thanks in advance, Kindra [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.