Talk:Five-number summary
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what you need to know
[edit]simpile as this
[edit]hello people lets say you have a paperthat gives you directions like this for an ex:find the five-number summary for each data set. then you look below and you mite find some numbers aranged like this (37,44,5,8,20,11,14). you then would do this
min:5 lq:8 med:14 uq:37 max:44
that is basically all you have to do
R example
[edit]The R example in its current form is mistaken in a few different ways. Firstly, it seems the stated numbers reflect an incorrect calculation of the 1st and 3rd quartiles. Secondly, the fivenum
function in R currently uses the lower and upper hinge values, rather than the 1st and 3rd quartile values. I'm hesitant to correct it without some discussion as it introduces additional concepts in a way that might be confusing to the casual observer. — Preceding unsigned comment added by 70.112.234.206 (talk) 01:03, 25 January 2013 (UTC)
- I get different results from the example. R version is (3.1.3 2015-03-09)
> moons <- c(0, 0, 1, 2, 63, 61, 27, 13) > moons [1] 0 0 1 2 63 61 27 13 > fivenum(moons) [1] 0.0 0.5 7.5 44.0 63.0 > summary(moons) Min. 1st Qu. Median Mean 3rd Qu. Max. 0.00 0.75 7.50 20.88 35.50 63.00