R help - May 2004 - lm(y~x) question: removing NA´s

Dear all,

I have a data frame with different numbers of NA??s in each column, e.g.:

x       y  
1      2
NA  3
NA  4
4     NA
1     5
NA NA


I now want to do a linear regression on y~x with all the NA??s removed. 
The problem now is that is.na(x) (and is.na(y) obviously gives vectors 
with different lengths. How could I solve this problem?

Thank you very much for any help.

Best regards
Chris

By (`factory') default that's done for you automagically, because
options("na.action") is `na.omit'.

If you really want to do it `by hand', and have the data in a data frame,
you can use something like:

lm(y ~ x, df[complete.cases(df),])

HTH,
Andy
> From: Christoph Scherber
> 
> Dear all,
> 
> I have a data frame with different numbers of NA??s in each 
> column, e.g.:
> 
> x       y  
> 1      2
> NA  3
> NA  4
> 4     NA
> 1     5
> NA NA
> 
> 
> I now want to do a linear regression on y~x with all the NA??s 
> removed. 
> The problem now is that is.na(x) (and is.na(y) obviously 
> gives vectors 
> with different lengths. How could I solve this problem?
> 
> Thank you very much for any help.
> 
> Best regards
> Chris
> 
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