Resampling with replacement on a binary (0, 1) dataset to get Cis
On Dec 1, 2011, at 10:49 AM, lincoln wrote:
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?
I couldn't tell if this were homework, so I just threw out a starting point. If you were told to do a resampling method then this would just be a starting point and you would be expected to go further with the boot function.
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