Ok,
With this figure, it is clearer to see what's wrong with two of my boxplots.
I pull the original data and feed boxplot with it.
The 1st boxplot is using only quartiles and the next is providing the actual
data array.
http://img140.imageshack.us/img140/4705/boxplots.png
To me the second boxplot seems more convenient to put an academic paper.
What do you think? These boxplots only show the variation in true air speed
of a small leg of a research flight.
Would there be a better representation of in addition to / as an alternative
boxplotting?
Gökhan
On Wed, May 13, 2009 at 1:41 PM, Gökhan SEVER <gokhanse...@gmail.com> wrote:
> Thank you for the response once again.
>
> That's why I am suspecting actually the raw data. At the problem points
> there might be not included values or missing values where not exist on the
> normal plots.
>
> I will find the original data and feed boxplot with it to see how it
> effects the final result.
>
> Gökhan
>
>
>
> On Wed, May 13, 2009 at 12:58 PM, Josh Hemann <jhem...@vni.com> wrote:
>
>>
>> Thanks for sending the data and code. After playing around some I still
>> don't
>> have a confident guess as to the problem (or solution), but here is what I
>> would look at more...
>>
>> I issued plot(d[i][8:]) for i 0,1,...11 and looked at the shape of
>> the
>> lines. For the two problem boxes, the plots of the associated data have
>> steep jumps between the 5th and 25th percentiles, when compared with the
>> data associated with the "good" boxes. So, what you have calculated as the
>> 5th and 25th percentiles are not necessarily calculated by boxplot as such
>> because boxplot does not know that you are handing it percentiles of your
>> underlying data: boxplot actually computes the percentiles assuming that
>> the
>> input _is_ the raw data. I would guess that if you gave boxplot the raw
>> data
>> you would not see this issue of missing whiskers.
>> --
>> View this message in context:
>> http://www.nabble.com/One-more-question-regarding-to-boxplotting-tp23508395p23526653.html
>> Sent from the matplotlib - users mailing list archive at Nabble.com.
>>
>>
>>
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