Filling in missing values in a column based on previousandfollowing values
Hello, Florian, function na.locf() from package zoo mightdo what you want. Hth -- Gerrit --------------------------------------------------------------------- Dr. Gerrit Eichner Mathematical Institute, Room 212 gerrit.eichner at 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.
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