CODEWITHSUNDEEP
r
Nathan
Nathan

Reputation: 350

Counting number of conditions that have been run

I have some data from an experiment where each subject was run with one of 18 different lists. I need to find out how many times each list was run.

The data.frame is structured as follows:

Subject1    List1    Trial1 stuff  
Subject1    List1    Trial2 stuff  
Subject2    List2    Trial1 stuff  
...
Subject22   List1    Trial1 stuff
Subject22   List1    Trial2 stuff

Though List1 shows up lots isn the data.set, I only want to count it if it's with a new subject. If, for instance, the above is all the subjects that were run in List1, I would have run List1 twice.

I've already written something that gets what I want, but it uses loops. I was wondering if there is some better way to go about this. Thanks.

Edit: Here is (basically) the code that I already used:

Lists <= matrix(nrow=22,ncol=2)  
for (i in seq(1,22)) { 
    Lists[i,1] <= i  
    Lists[i,2] <= unique(data$List[which(data$subject==i)])  
    }

Upvotes: 0

Views: 45

Answers (1)

Arcymag
Arcymag

Reputation: 1037

Are you looking for table?

> table(c("List1","List1","List2"))

 List1  List2
     2      1

You can do table(your second column)

Upvotes: 1

Related Questions