HI,
Try this:
set.seed(1)
dat1<-data.frame(col1=sample(0:1,1000,replace=TRUE),col2=sample(0:10,1000,replace=TRUE))
count(dat1$col1==1 & dat1$col2>5)[2,2]
#[1] 209
A.K.
----- Original Message -----
From: SirRon <thechrist...@gmx.at>
To: r-help@r-project.org
Cc:
Sent: Sunday, September 16, 2012 6:41 AM
Subject: [R] Count based on 2 conditions [Beginner Question]
Hello,
I'm working with a dataset that has 2 columns and 1000 entries. Column 1 has
either value 0 or 1, column 2 has values between 0 and 10. I would like to
count how often Column 1 has the value 1, while Column 2 has a value greater
5.
This is my attempt, which works but doesn't seem to be very efficient,
especially when testing different values or columns.
count=0
for (i in 1:1000) { if(dataset[i,2]>5 && ind[i,1]==1) { count=count+1}}
I'm looking for a more efficient/elegant way to do this!
Thanks!
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