You should provide raw data to boxplot(), not summary stats.
If you want to input summary stats, there was a post some time ago on that:
http://finzi.psych.upenn.edu/Rhelp10/2010-September/251674.html
\quoate
Overwriting $stats did the job for me. I wanted to show the effect of using
Hello!
I am using box plot and one of my boxes has only one whisker. How can I
change this?
Code:
bp-c(2.7, 3.1, 3.5, 8.95)
Methode1 - quantile(bp,type = 7)
Methode2 - quantile(bp,type = 2)
d-data.frame(Methode1,Methode2)
boxplot(d,ylab = Beispiel 1,range = 1.5)
Try with more data points?!
You have only five points, the last one being considered as outlier.
Note that boxplot() requires a numeric vector for specifying data from
which the boxplots are to be produced!
HTH
Ivan
Le 10/13/2010 09:50, tom a écrit :
Hello!
I am using box plot and one of
Ivan Calandra wrote:
Try with more data points?!
You have only five points, the last one being considered as outlier.
Note that boxplot() requires a numeric vector for specifying data from
which the boxplots are to be produced!
But why is only one of the boxplots missing his whisker?
Well, you don't use the same data for both.
Type 2 and 7 give different values for the 25 and 75%, which correspond
more or less to the box hinges.
If you take a look at how the whiskers are defined (look at ?boxplot.stats):
|coef| this determines how far the plot ‘whiskers’ extend out from
On Oct 13, 2010, at 5:06 AM, Ivan Calandra wrote:
Well, you don't use the same data for both.
Type 2 and 7 give different values for the 25 and 75%, which
correspond more or less to the box hinges.
If you take a look at how the whiskers are defined (look at ?
boxplot.stats):
|coef| this
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