[R] Missing Value And cor() function

[Christian Schulz]

replace.na.m <- function (x){
    X<-mean(x,na.rm=TRUE)
    ifelse ( is.na(x)=="TRUE",X,x)
}

apply(data.frame,2,replace.na.m)

another way is using cor() and the option
 use: an optional character string giving a method for computing
          covariances in the presence of missing values.  This must be
          (an abbreviation of) one of the strings `"all.obs"',
          `"complete.obs"' or `"pairwise.complete.obs"'.

perhaps this helps you,
regards,christian


----- Original Message -----
From: <vincent.stoliaroff at socgen.com>
To: <r-help at stat.math.ethz.ch>
Sent: Thursday, April 24, 2003 12:27 PM
Subject: [R] Missing Value And cor() function


>
>
> Hi r lovers!
>
> I 'd like to apply the cor() function to a matrix which have some missing
values
> As a matter of fact and quite logically indeed it doesn't work
> Is there a trick to replace the missing value by the mean of each variable
or by any other relevant figures ?
> Or should I apply a special derivate of the cor() function, (I don't have
any idea if it exists and have some trouble to figure out how it could)
> to skip this trouble?
> Thanks a lot for any suggestions and help
>
> Vincent
>
>
>
>
>
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