Removing rows with NAs, using na.omit(), doesn't seem to be working for me.

Dataset:

> str ( ex10s )

'data.frame':   2189576 obs. of  5 variables:
$ LOPNR  : int  58 58 58 58 64 64 64 64 64 64 ...
$ DIAGNOS: Factor w/ 173 levels "F20","F200","F2000",..: 128 128 128 128 105 105 105 160 105 105 ...
$ X_DATE : int  20060821 20061207 20080102 20090904 20010327 20010925 20020307 20021007 20021007 20030320 ...
$ SOURCE : int  2 2 2 2 2 2 2 2 2 1 ...
$ dg     : Factor w/ 7 levels "0","1","2","3",..: 6 6 6 6 5 5 5 6 5 5 ...

The only NAs are in the factor dg (put in by 'recode' from the car library; I'm trying to eliminate cases with particular factor levels)

> table ( ex10s$dg )

      0       1       2       3       4       5      NA
   2851  271501   63112   98425  335593 1257299  160795

So, I remove the rows with NAs, to a new dataframe ex10ss:

> ex10ss<-na.omit(ex10s)

Check all the NAs have been removed:

> table(ex10ss$dg)

      0       1       2       3       4       5      NA
   2851  271501   63112   98425  335593 1257299  160795

> dim(ex10s)
[1] 2189576       5
> dim(ex10ss)
[1] 2189576       5

Nothing seems to have changed. I want all the rows with NA in removed.

I am clearly doing something wrong.

The only alternative I could find is pretty similar:
use <- complete.cases ( ex10 )
ex10ss<-ex10s[use,]
which leads to the same result.


Stuart


Dr Stuart John Leask DM FRCPsych MB Mchir
Clinical Senior Lecturer and Honorary Consultant Pychiatrist
Institute of Mental Health, Innovation Park
Triumph Road, Nottingham, Notts. NG7 2TU. UK
Tel. +44 115 82 30419 stuart.leask@nottingham.ac.uk<mailto:stuart.leask@nottingham.ac.uk>
Google 'Dr Stuart Leask'


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