I have two data frames of flight data, but they have very different numbers of rows. They come from different sources, so the data are not identical.
> names(oooi) [1] "FltOrigDt" "MkdCrrCd" [3] "MkdFltNbr" "DprtTrpnStnCd" [5] "ArrTrpnStnCd" "ActualOutLocalTimestamp" [7] "ActualOffLocal" "ActualOnLocal" [9] "ActualInLocal" "ArrivalGate" [11] "DepartureGate" "Flight" [13] "OnDate" "MinutesIntoDay" [15] "OnHour" "pt" > names(runway) [1] "OnDateTime" "IATA" "ICAO" "Flight" [5] "AircraftType" "Tail" "Arrived" "STA" [9] "Runway" "From.To" "Delay" "OnDate" [13] "MinutesIntoDay" "pt" These sets have several hundred thousand rows. In both sets, pt is a POSIXct for the arrival time (from different sources). They are not identical, but surely should be within an hour of each other (hopefully a lot less), and the Flight fields must be the same. So (abs(runway$pt - oooi$pt) < 3600) & (runway$Flight == oooi$Flight) should pick out the corresponding rows in the two data sets (if there is a match). What I need to do is to take the Runway from runway and insert it into the oooi df for the correct flight. What is the best way to do this in R? Thanks, Jim Rome ______________________________________________ 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.
