For your outlier question, look at the 'range' argument to the boxplot function. It defaults to 1.5 meaning that any points more than 1.5*IQR from the 1st and 3rd quartiles are considered outliers. If you make this smaller, you will potentially see more outliers, if you make it larger then it will show fewer outliers. The special case of 0 means that you don't want any points to be shown as outliers and the wiskers will go all the way to the min and max points.
Hope this helps, -- Gregory (Greg) L. Snow Ph.D. Statistical Data Center Intermountain Healthcare [EMAIL PROTECTED] (801) 408-8111 > -----Original Message----- > From: [EMAIL PROTECTED] > [mailto:[EMAIL PROTECTED] On Behalf Of Cecilia Alm > Sent: Sunday, February 11, 2007 9:05 PM > To: r-help@stat.math.ethz.ch > Subject: [R] Boxplot: quartiles/outliers > > For boxplot(), is it possible to pass in a parameter to > change the default way that the 1st and 3rd quartiles are > computed? (specifically, I'd like to use type 6 described in > the quantile function). > > Also, what are the options for how outliers are computed, and > how can one change them? > > Thank you > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@stat.math.ethz.ch mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
