----- Original Message ----
From: Chuck Cleland <[EMAIL PROTECTED]>
To: Allan Kamau <[EMAIL PROTECTED]>
Cc: r-help@stat.math.ethz.ch
Sent: Tuesday, August 21, 2007 6:48:53 PM
Subject: Re: [R] Selective transformation

Allan Kamau wrote:
> I am looking for a way to transform select observations based on a value 
> based criteria.
> Why - Am learning r and would like to perform regression analysis of given 
> variables of the babies dataset (part of UsingR) for example babies$wt1, the 
> data in the variables does contain values which should be interpreted as 
> unknown, some variables have 999 for unknown and some have 99 for the same, 
> since lm() expects not available data to be marked using NA.
> I would like to use a solution that does not employ loops (I think it may not 
> be the ideal way)
> 
> I am looking at using apply() and supply the name of my function responsible 
> for transformation, but am unable to know now to reference the element of the 
> vector/list being currently processed by apply() so I may do in place 
> substitution (if value is 99 or 999) of the value with NA.

  Does this do what you want?

babies$wt1 <- with(babies, replace(wt1, wt1 == 999, NA))

?replace




Thanks Chuck, the replace command is just what I was looking for.

wt1<-babies$wt1
wt1<-replace(wt1,wt1==999,NA)

I get NA in wt1 vector in place of 999




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