Hi Abou, Perhaps this will be helpful. Be aware that you will cop some flak for putting error bars on a bar plot.
aadat<-data.frame(group=c(rep("Exp",50),rep("Con",50)), v1=sample(0:1,100,TRUE), v2=sample(0:1,100,TRUE), v3=sample(0:1,100,TRUE), v4=sample(0:1,100,TRUE), v5=sample(0:1,100,TRUE)) ggps<-function(x,group) { gns<-as.vector(table(group)) return(by(x,group,sum)/gns) } testggps<-data.frame( group=c("A","A","A","B","B","B","B","C","C","C","C","C"), x=c(1,0,1,1,0,1,0,1,1,0,0,0)) aaprop<-sapply(aadat[,2:6],ggps,aadat[,1]) library(plotrix) barpos<-barp(aaprop,ylim=c(0,0.65),col=c(2,3),names.arg=colnames(aaprop)) legend(2.5,0.65,c("Con","Exp"),fill=c(2,3)) dispersion(barpos$x,barpos$y,ulim=aaprop/10) Jim On Sun, Nov 14, 2021 at 11:01 AM AbouEl-Makarim Aboueissa <abouelmakarim1...@gmail.com> wrote: > > 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. ______________________________________________ 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.