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library(optmatch)
Ks <- c(10, 20, 50, 100, 200, 300, 350, 400, 425, 450, 475, 500)
propensity <- rnorm(2 * max(Ks))
names(propensity) <- 1:(2 * max(Ks))
times <- lapply(Ks, function(k) {
data <- propensity[1:(2 * k)]
z <- rep(c(0,1), k)
mdt <- system.time(mdist(z ~ data), gcFirst = TRUE)
mot <- system.time(match_on(x = data, z = z), gcFirst = TRUE)
# for both runs, return the sum of the user and system time
return(c(mdt[1] + mdt[2], mot[1] + mot[2]))
})
times <- do.call(rbind, times)
colnames(times) <- c("mdist", "match_on")
times <- data.frame(k = Ks, times)
save(file = "scaling.rda",
times)
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