On Tue, Apr 22, 2008 at 2:00 PM, Alex Reynolds
<[EMAIL PROTECTED]> wrote:
> Many thanks to you and Peter Dalgaard for your advice. Instead of
> notches on a classic box plot, I have elected to draw a more
> "minimalized" box plot along the lines suggested by Tufte, and overlap a
> custom signifi
Many thanks to you and Peter Dalgaard for your advice. Instead of
notches on a classic box plot, I have elected to draw a more
"minimalized" box plot along the lines suggested by Tufte, and overlap a
custom significance region on this.
As a statistical question, if I log-transform my data, can
> Is there a way to modify the choice of notch size [1] in R's boxplot
> routine from outlining a 5% significance region, to say 1% or lower?
Yes, but it's not as simple as specifying the significance level. You'll
have to update the function boxplot.stats, specifically the line
conf <- if (do.
Alex Reynolds u.washington.edu> writes:
> Is there a way to modify the choice of notch size [1] in R's boxplot
> routine from outlining a 5% significance region, to say 1% or lower?
Not directly from boxplot, because it is hardwired to indirectly call fivenum,
not quantile.
Check bxp instea
Alex Reynolds wrote:
> Is there a way to modify the choice of notch size [1] in R's boxplot
> routine from outlining a 5% significance region, to say 1% or lower?
>
Not easily. If you look inside boxplots.stats you'll find the hardcoded
constant 1.58, and the documentation has the following t
Is there a way to modify the choice of notch size [1] in R's boxplot
routine from outlining a 5% significance region, to say 1% or lower?
Thanks,
Alex
[1] McGill, Tukey, and Larsen. "Variations of Box Plots", The American
Statistician, Vol. 32, No. 1, 12-16.
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