Frank E Harrell Jr пишет:
> Evgeniy Kachalin wrote:
>
>> Marc Schwartz (via MN) пишет:
>>
>>>> Marc Schwartz (via MN) пишет:
>>
>
> library(Hmisc)
> library(lattice)
> ?panel.bpplot
>
> bwplot(...., panel=panel.bpplot)
>
> By default, panel.bpplot shows the mean (dot) and median (line) plus
> several quantiles. To bother Martin in a friendly way, I think that
> means can be useful additions - not that they are so useful by
> themselves, but that when they differ a lot from the median,
> non-statisticians gain further information about asymmetry. Also, even
> though the simple box plot is elegant, I sometimes think it has a high
> ink to information ratio. I have gained a lot from seeing outer
> quantiles on the plot, and I don't like to show outer points for fear of
> someone labeling them outliers. For describing raw data distributions,
> I never find standard deviations useful, however.
>
=> fa
doz fabp2
1 900 2
4 1500 2
6 1000 2
8 750 3
10 750 1
11 1750 2
12 500 3
....
....
....
....
> bwplot(doz~factor(fabp2),data=fa,panel=panel.bpplot)
Error in sort(x, partial = unique(c(lo, hi))) :
unsupported options for partial sorting
That's NOT simple way.
I need just one change.
Is there any good way?
$-(
--
Evgeniy
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