df <- df[-which(is.na(df$Field)), ] - removing rows with NULL fields df <- df[-which(df$Field == "" ), ] - removing rows with empty fields
On Wednesday, November 28, 2012 2:23:00 PM UTC+5:30, catalin roibu wrote: > > Dear R users, > I want to remove zero's or NA values after this model. > > year value1 value2 > 1854 0 12 > 1855 0 13 > 1866 12 16 > 1877 11 24 > > year value1 value2 > 1 12 12 > 2 11 13 > 3 16 > 4 24 > > Thank you! > > > -- > --- > Catalin-Constantin ROIBU > Forestry engineer, PhD > Forestry Faculty of Suceava > Str. Universitatii no. 13, Suceava, 720229, Romania > office phone +4 0230 52 29 78, ext. 531 > mobile phone +4 0745 53 18 01 > +4 0766 71 76 58 > FAX: +4 0230 52 16 64 > silvic.usv.ro > > [[alternative HTML version deleted]] > > ______________________________________________ > r-h...@r-project.org <javascript:> 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. >
______________________________________________ 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.
