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Merge branch 'master' of github.com:rasmusab/bayesboot
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R/bayesboot.R

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@@ -367,6 +367,7 @@ print.summary.bayesboot <- function(x, ...) {
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cat("\n")
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}
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cat("Call:\n", format(attr(x, "call")))
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cat("\n")
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invisible(x)
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}
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README.md

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@@ -43,7 +43,7 @@ summary(b1)
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plot(b1)
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```
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![](README-files/README-president_summary-1.png)<!-- -->
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![](README-files/README-president_summary-1.png)
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While it is possible to use a summary statistic that works on a resample of the original data, it is more efficient if it's possible to use a summary statistic that works on a *reweighting* of the original dataset. Instead of using `mean` above it would be better to use `weighted.mean` like this:
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@@ -80,7 +80,7 @@ b_diff <- as.bayesboot(b_presidents - b_opponents)
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plot(b_diff)
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```
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![](README-files/README-height_comparison-1.png)<!-- -->
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![](README-files/README-height_comparison-1.png)
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So there is some evidence that loosing opponents could be shorter. (Though, I must add that it is quite unclear what the purpose really is with analyzing the heights of presidents and opponents...)
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