Rcmdr (version 1.1-2)

stem.leaf: Stem-and-Leaf Display

Description

Creates a classical ("Tukey-style") stem-and-leaf display.

Usage

stem.leaf(data, unit, m, Min, Max,
    rule.line = c("Dixon", "Velleman", "Sturges"),
    style = c("Tukey", "bare"), trim.outliers = TRUE, depths = TRUE,
    reverse.negative.leaves = TRUE)

## S3 method for class 'stem.leaf':
print(x, ...)

Arguments

data

a numeric vector.

unit

leaf unit, as a power of 10 (e.g., 100, .01); omit to let the function choose the unit.

m

number of parts (1, 2, or 5) into which each stem should be divided; omit to let the function choose the number of parts/stem.

Min

smallest non-outlying value; omit for automatic choice.

Max

largest non-outlying value; omit for automatic choice.

rule.line

the rule to use for choosing the desired number of lines in the display; "Dixon" = 10*log10(n); "Velleman" = 2*sqrt(n); "Sturges" = 1 + log2(n); the default is "Dixon".

style

"Tukey" (the default) for "Tukey-style" divided stems; "bare" for divided stems that simply repeat the stem digits.

trim.outliers

if TRUE (the default), outliers are placed on LO and HI stems.

depths

if TRUE (the default), print a column of "depths" to the left of the stems; the depth of the stem containing the median is the stem-count enclosed in parentheses.

reverse.negative.leaves

if TRUE (the default), reverse the leaves on negative stems (so, e.g., the leaf 9 comes before the leaf 8, etc.).

x

an object of class stem.leaf to be printed.

...

not used: for compatibility with the generic print function.

Value

• Returns on object of class stem.leaf, which normally would be printed.

Details

Unlike the stem function in the base package, this function produces classic stem-and-leaf displays, as described in Tukey's Exploratory Data Analysis. Outliers are determined using the rule for boxplots (see boxplot.stats).

References

Tukey, J. Exploratory Data Analysis. Addison-Wesley, 1977.

See Also

stem

Examples

data(Prestige)
stem.leaf(Prestige$income)