Dear subscribers,
I have made a simulation using loops rather than apply, simply because the loop
function seems more natural to me. However, the current simulation takes
forever and I have decided - finally - to learn how to use apply, but - as many
other people before me - I am having a hard time changing habits. My current
problem is:
My current code for the loop is:
distances <- matrix(NA, 1000, 5)
distancer <- function(x, y){-(abs(x-y))}
x <- as.matrix(rnorm(1000, 5, 1.67))
y <- rnorm(5, 5, 1.67)
for (v in 1:1000){
distances[v,] <- distancer(x[v,], y)
}
The goal is to calculate the distances between the preferences of each voter
(X) and all parties (Y). This gives a 1000 by 5 matrix (distances).
If I want to transform this to apply, what would be the best way to go? More
specifically, I am not sure what to put into the X part of the apply function.
Sorry, for asking this question that is already much debated, I just don't seem
to be able to apply to my own case. Many thanks in advance.
Kind regards,
Gijs Schumacher
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