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.
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?
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.
On Wed, May 13, 2009 at 12:58 PM, Josh Hemann <email@example.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.
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