I'm not sure I got the question but is this something like what you want?
x[is.na(x) ] <- "FALSE"
x
John Kane
Kingston ON Canada
> -----Original Message-----
> From: ajdam...@gmail.com
> Sent: Wed, 20 Jun 2012 16:44:25 -0400
> To: r-help@r-project.org
> Subject: [R] binary operators that never return missing values
>
> Hi, I work with data sets with lots of missing values. We often need
> to conduct logical tests on numeric vectors containing missing values.
> I've searched around for material and conversations on this topic,
> but I'm having a hard time finding anything. Has anyone written a
> package that deals with this sort of thing? All I want are a group of
> functions like the ones I've posted below, but I'm worried I'm
> re-inventing the wheel.. If they're not already on CRAN, I feel like
> I should add them. Any pointers to work already completed on this
> subject would be appreciated. Thanks!
>
> Anthony Damico
> Kaiser Family Foundation
>
>
>
> Here's a simple example of what I need done on a regular basis:
>
> #two numeric vectors
> a <- c( 1 , NA , 7 , 2 , NA )
>
> b <- c( NA , NA , 9 , 1 , 6 )
>
> #this has lots of NAs
> a > b
>
> #save this result in x
> x <- (a > b)
>
> #overwrite NAs in x with falses (which we do a lot)
> x <- ifelse( is.na( x ) , F , x )
>
> #now x has only trues and falses
> x
>
>
>
> ################
> Here's an example function that solves the problem for "greater than"
> ################
>
>
> #construct a function that performs the same steps:
> "%>F%" <-
> function( a , b ){
>
> x <- (a > b)
>
> x.false <- ifelse( is.na( x ) , F , x )
>
> x.false
>
> }
>
> #run the function
>
> a %>F% b
>
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