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| # Fork of Scott's coin flip simulation | |
| # https://gist.github.com/maptracker/e34a8596a9c2a7f261d6b892e5df42c5 | |
| flipCoin <- function( n = 50, pvals = 0.5, nosim = 100, file = NULL ) { | |
| coverage <- lapply(pvals, function(p) { | |
| phats <- (rbinom(nosim, prob = p, size = n) + 2)/(n + 4) | |
| ll <- phats - qnorm(0.975) * sqrt(phats * (1 - phats)/n) | |
| ul <- phats + qnorm(0.975) * sqrt(phats * (1 - phats)/n) | |
| cbind(lower = ll, upper = ul) | |
| })[[1]] # De-listify | |
| if (!is.null(file)) png(file) | |
| plot(0:1, c(0, nosim + 1), type = 'n', | |
| xlab = "95% CI for p", ylab = "Replicate Number") | |
| abline(v = pvals, lty = 2, col = "blue") | |
| ## Highlight ranges that do not cover the true mean | |
| color <- apply(coverage, 1, function (x) { | |
| ifelse(x[1] <= pvals && pvals <= x[2], "black", "red") | |
| }) | |
| segments(coverage[,1], 1:nosim, coverage[, 2], 1:nosim, col = color) | |
| ## Draw a density plot (bar) of overlapping coverages | |
| alpha <- as.integer(255 / nosim) | |
| if (alpha < 1) alpha <- 1 | |
| rect(coverage[,1], 0, coverage[, 2], nosim/-20, | |
| col = rgb(0,0,0,alpha, maxColorValue = 255), border = NA) | |
| title(sprintf("Simulating %s coin flips, %d replicates\nTrue p = %s", | |
| n, nosim, pvals)) | |
| if (!is.null(file)) dev.off() | |
| coverage | |
| } | |
| c <- flipCoin() | |
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Please give me a pull request. Thanks for the corrections and enhancements.