Shortly after answering to your first email, I got to solution. Sorry for the unnecessary noise. Regards, F Am 04.08.2014 um 12:00 schrieb Gerrit Eichner : > On Mon, 4 Aug 2014, Florian Denzinger wrote: > >> this is great, thanks! >> >> one problem I noticed though is that it fills all NA values in every column, is it possible to specify only one column, e.g. only ID (I have NA values in another column I want to keep) > > Yes, of course. Just access only one column, not all: Something like > > yourdataframe$ID <- na.locf( yourdataframe$ID) > > should replace the ID-column with the modified version you want. > > Regards -- Gerrit > > >> Kind regards, >> Florian >> >> >> >> Am 04.08.2014 um 11:31 schrieb Gerrit Eichner : >> >>> Hello, Florian, >>> >>> function na.locf() from package zoo mightdo what you want. >>> >>> Hth -- Gerrit >>> >>> --------------------------------------------------------------------- >>> Dr. Gerrit Eichner Mathematical Institute, Room 212 >>> gerrit.eichner@math.uni-giessen.de Justus-Liebig-University Giessen >>> Tel: +49-(0)641-99-32104 Arndtstr. 2, 35392 Giessen, Germany >>> Fax: +49-(0)641-99-32109 http://www.uni-giessen.de/cms/eichner >>> --------------------------------------------------------------------- >>> >>> On Mon, 4 Aug 2014, fd wrote: >>> >>>> I have the following .csv file containing about 40000 values (here only an >>>> extract and simplified version): >>>> >>>> NAME ; YEAR; ID; VALUE; CUMMB >>>> Sample1; 1998; 354; 45; 45 >>>> Sample1; 1999; 354; 23; 68 >>>> Sample1; 2000; NA; 66; 134 >>>> Sample1; 2001; NA; 98; 232 >>>> Sample1; 2002; NA; 36; 268 >>>> Sample1; 2003; NA; 59; 327 >>>> Sample1; 2004; NA; 64; 391 >>>> Sample1; 2005; 354; 23; 414 >>>> Sample1; 2006; 354; 69; 483 >>>> Sample1; 2007; 354; 94; 577 >>>> Sample1; 2008; 354; 24; 601 >>>> Sample2; 1964; 1342; 7; 7 >>>> Sample2; 1965; 1342; 24; 31 >>>> Sample3; 2002; 859; 90; 90 >>>> Sample3; 2003; NA; 93; 183 >>>> Sample3; 2004; NA; 53; 236 >>>> Sample3; 2005; 859; 98; 334 >>>> >>>> What I would like to do is to replace the NA values in ID with the values >>>> from the ID. E.g. all values in ID from Sample 1 should have the value 354; >>>> all values in ID from Sample 3 should have the value 859 etc. >>>> >>>> Is there a simple way to do this? >>>> >>>> Thanks for your help. >>>> >>>> >>>> >>>> -- >>>> View this message in context: http://r.789695.n4.nabble.com/Filling-in-missing-values-in-a-column-based-on-previous-and-following-values-tp4694993.html >>>> Sent from the R help mailing list archive at Nabble.com. >>>> >>>> ______________________________________________ >>>> 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. > > ______________________________________________ > 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. [[alternative HTML version deleted]]