Boxplot | R Documentation |
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.
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, ...)
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"):
|
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. (2019) An R Companion to Applied Regression, Third Edition, Sage.
boxplot
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]))
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