`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.

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | ```
Boxplot(y, ...)
## Default S3 method:
Boxplot(y, g, labels, id.method = c("y", "identify", "none"),
id.n=10, xlab, ylab, ...)
## S3 method for class 'formula'
Boxplot(formula, data = NULL, subset, na.action = NULL, labels.,
id.method = c("y", "identify", "none"), xlab, ylab, ...)
## S3 method for class 'list'
Boxplot(y, xlab="", ylab="", ...)
## S3 method for class 'data.frame'
Boxplot(y, labels=rownames(y), ...)
## S3 method for class 'matrix'
Boxplot(y, ...)
``` |

`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. |

`labels, labels.` |
point labels; if not specified, |

`id.method` |
if |

`id.n` |
up to |

`xlab, ylab` |
text labels for the horizontal and vertical axes; if missing, |

`formula` |
a ‘model’ formula, of the form |

`data, subset, na.action` |
as for statistical modeling functions (see, e.g., |

`...` |
further arguments, such as |

John Fox jfox@mcmaster.ca, with a contribution from Steve Ellison
to handle `at`

argument (see `boxplot`

).

Fox, J. and Weisberg, S. (2011)
*An R Companion to Applied Regression*, Second Edition, Sage.

`boxplot`

1 2 3 4 5 6 7 | ```
Boxplot(~income, data=Prestige, id.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, labels=rownames(Prestige)))
with(Prestige, Boxplot(income, type, labels=rownames(Prestige)))
Boxplot(scale(Prestige[, 1:4]))
``` |

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