Hi,
Why don't you give subset a try:
adata <- subset(adata, is.na(z)==FALSE&is.na(y)==FALSE)
I'm not sure if you want to use AND or OR for this statement.
Best wishes,
Natalie
On 26/10/2011 16:25, Schatzi wrote:
Sometimes I have NA values within specific columns of a dataframe (in this
example, the first two columns can have NAs). If there are NA values, I
would like them to be removed.
I have been using the code:
y<-c(NA,5,4,2,5,6,NA)
z<-c(NA,3,4,NA,1,3,7)
x<-1:7
adata<-data.frame(y,z,x)
adata<-adata[-which(apply(adata[,1:2],1,function(x)any(is.na(x)))),]
This works well if there are NA values, but when a dataset doesn't have NA
values, this code messes up the dataframe. I was trying to pick apart this
code and could not understand why it didn't work when there were no NA
values.
If there are no NA values and I run just the part:
apply(adata[,1:2],1,function(x)any(is.na(x)))
it results in:
2 3 5 6
FALSE FALSE FALSE FALSE
I was thinking that I can put in an if statement, but I think there has to
be a better way.
Any ideas/help? Thank you.
-----
In theory, practice and theory are the same. In practice, they are not - Albert
Einstein
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