Boxplot is a wrapper for the standard Rboxplot function, providing point identification,
axis labels, and a formula interface for boxplots without a grouping variable.
a numeric variable for which the boxplot is to be constructed.
g
a grouping variable, usually a factor, for constructing parallel boxplots.
labels, labels.
point labels; if not specified, Boxplot will use the row names of the data
argument, if one is given, or observation numbers.
id.method
if "y" (the default), all outlying points are labeled; if "identify", points
may be labeled interactive; if "none", no point identification is performed.
id.n
up to id.n high outliers and low outliers will be identified in each group, (default, 10).
xlab, ylab
text labels for the horizontal and vertical axes; if missing, Boxplot will use the
variable names.
formula
a ‘model’ formula, of the form ~ y to produce a boxplot for the variable y, or
of the form y ~ g, y ~ g1*g2*..., or y ~ g1 + g2 + ... to
produce parallel boxplots for y within levels of the grouping variable(s)
g, etc., usually factors.
data, subset, na.action
as for statistical modeling functions (see, e.g., lm).
...
further arguments, such as at, to be passed to boxplot.
Author(s)
John Fox jfox@mcmaster.ca, with a contribution from Steve Ellison
to handle at argument (see boxplot).
References
Fox, J. and Weisberg, S. (2011)
An R Companion to Applied Regression, Second Edition, Sage.