Missing Value And cor() function
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 ************************************************************************* Ce message et toutes les pieces jointes (ci-apres le "message") sont confidentiels et etablis a l'intention exclusive de ses destinataires. Toute utilisation ou diffusion non autorisee est interdite. Tout message electronique est susceptible d'alteration. La SOCIETE GENERALE et ses filiales declinent toute responsabilite au titre de ce message s'il a ete altere, deforme ou falsifie. ******** This message and any attachments (the "message") are confidentia...
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