Description Usage Arguments Author(s) References See Also Examples
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.
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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