[R] Filling in missing values in a column based on previousandfollowing values

Gerrit Eichner Gerrit.Eichner at math.uni-giessen.de
Mon Aug 4 11:31:02 CEST 2014


Hello, Florian,

function na.locf() from package zoo mightdo what you want.

Hth --  Gerrit

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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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