"boxplot"(x, response.data, args=NULL, showNone=NA, multiline=FALSE, plot=TRUE, truncate.labels=TRUE, group.gap=0.3, cex=1, cex.main=1.2, cex.lab=1, cex.axis=1, srt=0, adj=0, par.zoom=1, addPoints=TRUE, col.points="lightblue", allAgree="All Agree", ...)
numeric
data vector on which the distribution for each particular match group
is computed on the fly during the plot.TRUE
(default) then a boxplot is produced.
If not, the summaries which the boxplots are based on are returned.numeric
in a range (-1..1) determening how close to the x-axis
the group labels are, negative being the closest and positive the furthest. The default is 0.TRUE
(default), the points representing the data density distribution
of a particular compaund group are plotted along with a standard box.JointUniquePairs
. args=list(NetAffx_Q="Affy_Q",DAVID_F="D_F",EnVision_Q="EnQ");
data<-examples$jointUniquePairs$boxplot(examples$corr$getData(),args,srt=30,allAgree="All");
data$boxdata;
names(data$response.grouped);
Run the code above in your browser using DataLab