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(This article was first published on is.R(), and kindly contributed to R-bloggers)

There has recently been a lotofdiscussion of so-called “visually-weighted regression” plots.

Folk hero Hadley Wickham suggests that such plots would be easy to implement with ggplot2, and so I have attempted to prove him right.

The approach outlined in the following Gist would be easy to apply to any situation in which you have a matrix of replicated predictions or bootstrapped fits from a model — any such a matrix would just take the place of the simYhats object.

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