Boxplot: Boxplots With Point Identification

In jonathon-love/car3: Companion to Applied Regression

Description

Boxplot is a wrapper for the standard R boxplot function, providing point identification, axis labels, and a formula interface for boxplots without a grouping variable.

Usage

Boxplot(y, ...)

## Default S3 method:
Boxplot(y, g, id=TRUE, xlab, ylab, ...)

## S3 method for class 'formula'
Boxplot(formula, data=NULL, subset, na.action=NULL, 
    id=TRUE, xlab, ylab, ...)

## S3 method for class 'list'
Boxplot(y, xlab="", ylab="", ...)

## S3 method for class 'data.frame'
Boxplot(y, id=TRUE, ...)

## S3 method for class 'matrix'
Boxplot(y, ...)

Arguments

y	a numeric variable for which the boxplot is to be constructed; a list of numeric variables, each element of which will be treated as a group; a numeric data frame or a numeric matrix, each of whose columns will be treated as a group.
g	a grouping variable, usually a factor, for constructing parallel boxplots.
id	a list of named elements giving one or more specifications for labels of individual points ("outliers"): n, the maximum number of points to label (default 10); location, "lr" (left or right) of points or "avoid" to try to avoid overplotting; and method, one of "y" (automatic, the default), "identify" (interactive), or "none". Can be FALSE to suppress point identification or TRUE (the default) to use all defaults. This is similar to how showLabels handles point labels for other functions in the car package.
xlab, ylab	text labels for the horizontal and vertical axes; if missing, Boxplot will use the variable names, or, in the case of a list, data frame, or matrix, empty labels.
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 [e-mail], 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.

See Also

boxplot

Examples

Boxplot(~income, data=Prestige, id=list(n=Inf)) # identify all outliers
Boxplot(income ~ type, data=Prestige)
Boxplot(income ~ type, data=Prestige, at=c(1, 3, 2))
Boxplot(k5 + k618 ~ lfp*wc, data=Mroz)
with(Prestige, Boxplot(income, id=list(labels=rownames(Prestige))))
with(Prestige, Boxplot(income, type, id=list(labels=rownames(Prestige))))
Boxplot(scale(Prestige[, 1:4]))

jonathon-love/car3 documentation built on May 19, 2019, 7:28 p.m.