search for: coull

...noticed that using the 'Wilson' method when alpha is larger (i.e. narrow CI), results in the upper value being smaller than the lower value. The 'exact' and 'asymptotic' methods give results in the realm I'd expect. But the help file suggests: "Following Agresti and Coull, the Wilson interval is to be preferred and so is the default." Suggestions and clarifications gratefully received. The following code shows the curious results: #calc 5% CI's. require(Hmisc) alpha <-.95 bin.prob <- binconf(1, 100, alpha=alpha,method='all') colnames(bin.pr...

Hi. I'm trying to create an Agresti-Coull confidence interval without using the binom package. Despite many trials, I keep getting the same problem- see below. > y=334 > n=1160 > alpha=.05 > b=(y+.5*qnorm(1-alpha/2)**2)/(n+qnorm(1-alpha/2)**2) > b [1] 0.288631 > ac=b+qnorm(1-alpha/2)*sqrt(b(1-b)/(n+qnorm(1-alpha/2)**2)) E...

Dear R users this may be a simple question - but i would appreciate any thoughts does anyone know how you would get one lower and one upper confidence interval for a set of data that consists of proportions. i.e. taking a usual confidence interval for normal data would result in the lower confidence interval being negative - which is not possible given the data (which is constrained between

...like this, and >>>people love it. I learned a lot of python this way. I think the critical issue with this would be indexing and documentation. Also possibly copyright problems e.g., If I or someone wrote a function to apply the formula for CIs around a proportion given by Agresti and Coull (1998). Approximate is better than exact for interval estimation of binomial proportions" American Statistician, 52 119-126. Would I file it under CI? proportion? binomial? or what? would I need to get permission from the authors before posting it? >>>2) A Series of Documents hel...