Thanks, for pointing out the package e1071, the example for matchControls is exactly what I am looking for, however how can I add additional factors to match for. library(e1071) Age.case <- 40 + 5 * rnorm(50) Age.cont <- 45 + 10 * rnorm(150) Age <- c(Age.case, Age.cont)
Sex.case <- sample(c("M", "F"), 50, prob = c(.4, .6), replace = TRUE) Sex.cont <- sample(c("M", "F"), 150, prob = c(.6, .4), replace = TRUE) Sex <- as.factor(c(Sex.case, Sex.cont)) casecont <- as.factor(c(rep("case", 50), rep("cont", 150))) risk.case<-sample(c("H", "M", "L"), 50, prob = c(.4,.4, .2), replace = TRUE) risk.cont<-sample(c("H", "M", "L"), 150, prob = c(.3,.3, .4), replace = TRUE) risk<-as.factor(c(risk.case, risk.cont)) ## now look at the group properties: boxplot(Age ~ casecont) barplot(table(Sex, casecont), beside = TRUE) barplot(table(Sex, risk), beside = TRUE) m <- matchControls(casecont ~ Sex + Age+risk) -- View this message in context: http://r.789695.n4.nabble.com/matching-by-gender-and-age-tp3552825p3571509.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.