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It is trivial to create a boxplot in R with a full dataset. However, with limited access to the whole dataset, I just have 5 data point at min, 25%, 50% ,75%, and max. So is there any easy way to reproduce the boxplot with only these 5 values?

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    $\begingroup$ What about boxplot(your.five.data.points)? $\endgroup$ Apr 1, 2014 at 23:44

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It's still pretty trivial. You can't reproduce the whiskers of a default boxplot effectively if the minimum and maximum values exceed Tukey's fences, but the box itself should remain unaltered. E.g., with x=rnorm(9999), compare boxplot(x) vs. boxplot(quantile(x)):

$\leftarrow$ full dataset vs. your five values $\rightarrow$

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    $\begingroup$ boxplot(fivenum(x)) is a lot shorter than boxplot(c(min(x),quantile(x,c(.25,.5,.75)),max(x))) (though if the quartiles don't match the definition of hinge in fivenum that might not be suitable) $\endgroup$
    – Glen_b
    Apr 2, 2014 at 5:20
  • $\begingroup$ Slick! Updated. $\endgroup$ Apr 2, 2014 at 5:22
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    $\begingroup$ See the edit to my comment; your original has the advantage of being able to use any of the 9 definitions of quantiles. Then again, boxplot(quantile(x)) would work in place of fivenum and probably matches the original post better; I'm just used to associating boxplots with fivenum. $\endgroup$
    – Glen_b
    Apr 2, 2014 at 5:25
  • $\begingroup$ Wow. Never knew that one either! We'll go with that one then. $\endgroup$ Apr 2, 2014 at 5:39
  • $\begingroup$ Yep. In large samples like that you can't see any difference between them, of course $\endgroup$
    – Glen_b
    Apr 2, 2014 at 5:47

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