On 2012-09-16 05:04, Rui Barradas wrote:
Hello,
Since logical values F/T are coded as integers 0/1, you can use this:
set.seed(5712) # make it reproducible
n <- 1e3
x <- data.frame(A = sample(0:1, n, TRUE), B = sample(0:10, n, TRUE))
count <- sum(x$A == 1 & x$B > 5) # 207
Another way:
count <- sum(with(x, A*B > 5))
Peter Ehlers
Hope this helps,
Rui Barradas
Em 16-09-2012 11:41, SirRon escreveu:
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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