And you got a reply on the ggplot2 list, which is why you're asked not to cross-post.
For those who are wondering, geom_boxplot() in the ggplot2 package will by default plot outside points along the same line as the boxplot whiskers at their actual values. The gentleman jittered the original points in a separate call to geom_point(), so the result is that the outside points are plotted twice - once along the whisker lines (in black) from geom_boxplot() and once as jittered points with alpha transparency from geom_point(). Since jitter can be positive or negative in either the horizontal direction, confusion ensues... Dennis On Wed, Nov 16, 2011 at 11:16 AM, Giovanni Azua <azuag...@student.ethz.ch> wrote: > Hello, > > I generate box plots from my data like this: > > qplot(x=xxx,y=column,data=data,geom="boxplot") + xlab("xxx") + ylab(ylabel) + > theme_bw() + scale_y_log10() + geom_jitter(alpha=I(1/10)) > > The problem is that I see lot of points above the maximum at the same level > as some outliers. It looks very weird as I expected the outliers to be "few" > and specially not see any points other than the outliers below the minimum or > above the maximum indicator. Can anyone explain what's going on? > > Attached I send a snapshot, see the second level having some outliers, > separate from the outliers there are also some points which seem not to be > outliers and that are above the maximum indicator? is this a bug or am I > missing anything? > > TIA, > Best regards, > Giovanni > > PS: I sent this to the ggplot2 list too (sorry for the double post but I am > kind of under pressure with this) > > ______________________________________________ > R-help@r-project.org 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@r-project.org 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.