The answer to your question is "yes". You probably need to make your example reproducible by including (or referencing by URL) sample data if you want a more complete response. -- Sent from my phone. Please excuse my brevity.
On June 2, 2016 1:42:55 AM PDT, Miluji Sb <miluj...@gmail.com> wrote: >Dear all, > >I have used the following code to read in a ncdf file > >library(chron) >library(lattice) >library(ncdf4) >library(data.table) > >ncname <- ("/file_path") >ncfname <- paste(ncname, ".nc", sep = "") >dname <- "ssl" # note: tmp means temperature (not temporary) > >ncin <- nc_open(ncfname) >print(ncin) > >The attributes of the file are: > > 4 variables (excluding dimension variables): > double longitude[row] > long_name: longitude > units: degrees_east > standard_name: longitude > double latitude[row] > long_name: latitude > units: degrees_north > standard_name: latitude > double ssl[col,row] > long_name: storm surge level > units: m > _FillValue: -99999 > scale_factor: 1 > add_offset: 1 > float RP[col] > long_name: return period > units: yr > Contents: The RPs have been estimated following the Peak Over >Threshold Method (see reference below) > Starting date: 01-Dec-2009 > End date: 30-Nov-2099 21:00:00 > 2 dimensions: > col Size:8 > row Size:2242 > >I would like to convert the data into a dataframe by longitude and >latitude. Is that possible? Thank you! > >Sincerely, > >Milu > > [[alternative HTML version deleted]] > >______________________________________________ >R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see >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. [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.