Thanks. So, suppose for one specific year (first year over 10) the percentage of successes deriving from 100 trials with 38 successes (and 62 failures), its value would be 38/100=0.38. I could calculate its confidence intervals this way: > success<-38 > total<-100 > prop.test(success,total,p=0.5,alternative="two.sided")
1-sample proportions test with continuity correction data: success out of total, null probability 0.5 X-squared = 5.29, df = 1, p-value = 0.02145 alternative hypothesis: true p is not equal to 0.5 95 percent confidence interval: 0.2863947 0.4829411 sample estimates: p 0.38 So it would be var$1=0.38 , CI=0.286-0.483 Is it correct? -- View this message in context: http://r.789695.n4.nabble.com/Resampling-with-replacement-on-a-binary-0-1-variable-to-get-CIs-tp4127990p4129048.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.