XploRe Help : fivenum

Keywords - Function groups - @ A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

Library:	stats
See also:	median grbox quantile summarize

Quantlet:		fivenum
Description:		computes the five number summary consisting of the minimum and maximum, the quartiles and the median.

Usage:	`five = fivenum (x, {, xvars})`
Input:
	`x`	n x p matrix, variables
	`xvars`	p x 1 string vector (optional) with variable names
Output:
	`five`	string output, containing p five number summaries.

Note:

The five number summary is closely related to its graphical representation, the box plot. The parallel box plot is especially recommended for the comparison of batches.

Example:

library("stats") setenv("outputstringformat", "%s") x = read("popul")[,1] fivenum(x)

Result:

Contents of five
[ 1,]
[ 2,] ==================================================
[ 3,]  Five number summary
[ 4,] --------------------------------------------------
[ 5,]    Minimum                    63
[ 6,]    25% Quartile               74
[ 7,]    Median                     88
[ 8,]    75% Quartile            183.5
[ 9,]    Maximum                   778
[10,] ==================================================
[11,]

Example:

library("stats") setenv("outputstringformat", "%s") x = read("pullover")[,1:2] fivenum(x, "Sales"|"price")

Result:

Two five number summaries with variable names

Contents of five

[ 1,]
[ 2,] ==================================================
[ 3,]  Five number summary: Sales
[ 4,] --------------------------------------------------
[ 5,]    Minimum                    97
[ 6,]    25% Quartile              165
[ 7,]    Median                  176.5
[ 8,]    75% Quartile              189
[ 9,]    Maximum                   230
[10,] ==================================================
[11,]
[12,] ==================================================
[13,]  Five number summary: price
[14,] --------------------------------------------------
[15,]    Minimum                    80
[16,]    25% Quartile               95
[17,]    Median                   99.5
[18,]    75% Quartile              120
[19,]    Maximum                   125
[20,] ==================================================
[21,]

Author: W. Haerdle, T. Koetter, Marlene Mueller, 20021106 license MD*Tech