Hi: if i understand, i think
newx<-x[ x %in% key]
should give you what you want.
On Sun, Jan 25, 2009 at 10:27 PM, Akshaya Jha wrote:
Hi,
I have the following datasets:
x=data I am looking through
key=a set of data with the codes I want
I have the following issue:
I want the subset of x which has a code contained in the key dataset.
That is, if x[i] is contained in the key dataset, I want to keep it.
Note that x may contain multiple of the same codes (or obviously none
of that code as well)
I currently use two for-loops thusly in my R-code:
k=1
y=data.frame(1,stringsAsFactors=FALSE)
for(i in 1:length(x)){
for(j in 1:length(key)){
if(x[i]==key[j]){
y[k]=x[i]
k=k+1;
}
}
}
However, my dataset (x in this example) is pretty large, so I
want to avoid using two for-loops. Does anybody know an easier way to
approach this?
Thanks
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.