coercing created variables into a new data frame using na.omit()

I don't know if you can read your message, but I find it exceedingly 
difficult and there seem to be several typos.  Please use the space and 
return keys ... and only send a message once.

You problem is perhaps that you are not looking at the data frame, but at 
the variable in the workspace.  attach()ing data frames is convenient but 
error-prone (as you have found).  rm(new.variable) should solve this, but 
it is better to cultivate a different style.  For example

with(data.frame1, {
# commands to create value
data.frame1$new.variable <- value
})
data.frame3 <- na.omit(data.frame1)

That cannot possible work, as assignment within with is local to
with's environment. I have used superassigmnent for this (<<-), but that 
cannot possible
be a good style?

Look at the following:

 > test <- data.frame( a=1:5, b=1:5)
 > test
  a b
1 1 1
2 2 2
3 3 3
4 4 4
5 5 5
 > with(test, test$c <- 1:5)
 > test
  a b
1 1 1
2 2 2
3 3 3
4 4 4
5 5 5
 > with(test, test$c <<- 1:5)
 > test
  a b c
1 1 1 1
2 2 2 2
3 3 3 3
4 4 4 4
5 5 5 5

So what is the best style her?

Kjetil
I think too that the creation of the value can be vectorized simply, 
generalizing something like

value <- (age1 - 7)*(weight - mw)

On Fri, 12 Aug 2005, sp219 wrote:

Hi,
I am an R newbie and one thing I am having trouble with binding variables that
I have created within one data frame into a new data frame when using
na.omit(). To illustrate this problem I will give the example I am working on
and the approah I have been using:-
data.frame1<-filepath....
attach(data.frame1)
#create a new variable using a function
new.variable<-rep(1,length(weight3))
for (x in 1:length(new.variable))
{f<-((((age1[x]-7)*(weight[x]-mw))+((age2[x]-7)*(weight2[x]-mw))+((age3[x]-7)*
(weight3[x]-mw)))/(((age1[x]-7)^2)+((age2[x]-7)^2)+((age3[x]-7)^2)));
new.variable[x]<-f}
#then bind it into the existing old data frame
data.frame2<-cbind(data.frame1,newvariable)
rm(dat.frame1)
attach(data.frame2)
#everything o.k. so far but now the problem part... I basically want to remove
all the rows with NA in the new data frame including corresponding rows in the
new variable
data.frame3<-na.omit(data.frame2)
rm(data.frame2)
attach(data.frame3)
length of new.variable has not changed but the length of all the other
variables in data.frame2 has?
Could someone please provide an explanation or an alternative route if
possible?
Any suggestions much appreciated,
Thankyou, Simon Pickett

Simon Pickett
Centre for Ecology and Conservation Biology
University of Exeter in Cornwall
Tremough Campus
Penryn
Cornwall
TR10 9EZ UK
Tel: 01326371852

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coercing created variables into a new data frame using na.omit()

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