Hi R User, I was trying to calculate ratios with confidence interval using Monte Carlo simulation but I could not figure it out. Here is the example of my data (see below), I want to calculate ratios (dat$v1/dat$v3 & dat$v2/dat$v3) and its confidence intervals using a 100 randomly selected data sets. Could you please give me your suggestions how I can estimate ratios with CI? I will be very grateful to you. Sincerely,
MW --- dat<-structure(list(v1 = c(NA, TRUE, TRUE, TRUE, TRUE, TRUE, NA, TRUE, NA, NA, TRUE, TRUE, TRUE, TRUE, NA, NA, TRUE, TRUE), v2 = c(TRUE, NA, NA, NA, NA, TRUE, NA, NA, TRUE, TRUE, NA, TRUE, TRUE, NA, NA, TRUE, TRUE, NA), v3 = c(TRUE, TRUE, NA, TRUE, TRUE, NA, NA, TRUE, TRUE, NA, NA, TRUE, TRUE, TRUE, NA, NA, TRUE, NA)), .Names = c("v1", "v2", "v3"), class = "data.frame", row.names = c(NA, -18L)) ratio1<-length(which(dat$v1 == "TRUE"))/length(which(dat$v3 == "TRUE")) ratio2<-length(which(dat$v2 == "TRUE"))/length(which(dat$v3 == "TRUE")) Thanks [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.