Dear All:
I do have a binary data set with multiple variables, event = 1 in all variables. As an example, I attached a data set with 6 variables. The first column is the grouping variable. Then the next 5 columns are the binary data for 5 variables. - Can we compute the confidence interval for the difference between the two proportions of the event = 1 in both groups (say: G1 – G2) for the 5 variables in one shut. - I also need to create the Bar plot of individual proportions (both groups side-by-side) and add the confidence intervals bar for the 5 variables in one graph. Example.Data <- read.table(file="F/Example_Data_for_R.csv", header=T, sep=",") Example.Data attach(Example.Data) #### For example, this is how I use the prop.test() function to get the CI for p1-p2 x12 <- c(x1, x2) n12 <- c(n1, n2) prop.test(x12, n12, conf.level = 0.95)$conf.int But, I am not sure how to use it for raw data, and for multiple pairs of data in one shut if possible. With many thanks in advance Abou ______________________ *AbouEl-Makarim Aboueissa, PhD* *Professor, Statistics and Data Science* *Graduate Coordinator* *Department of Mathematics and Statistics* *University of Southern Maine* ______________________________________________ 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.
