std.deviation: Diversity as separation: Standard Deviation

In DLEIVA/diversity: Diversity indexes for organizational research

Description

This function computes Standard Deviation for quantifying diversity as separation.

Usage

std.deviation(X, min, max)

Arguments

X	A numeric vector with group data.
min	The minimum value for the random variable.
max	The maximum value for the random variable.

Details

std.deviation computes Standard Deviation for a group. It also provides maximum values for the statistic and normalized Standard Deviation.

Value

The function returns a list of class deviation with following components:

call	Function call.
data	Original data vector.
min	Minimum value for the random variable.
max	Maximum value for the random variable.
std.dev	Standard Deviation.
std.dev.max	Maximum value of Standard Deviation.
std.dev.norm	Normalized value of Standard Deviation.

Author(s)

Antonio Solanas, Rejina M. Selvam, Jose Navarro and David Leiva.

References

Solanas, A., Selvam, R. M., Navarro, J., & Leiva, D. (2010). On the measurement of diversity in organizations. Unpublished manuscript.

Examples

g.3 <- c(1,1,9)
std.deviation(g.3,1,9)

g.4 <- c(2,4,5,6)
std.deviation(g.4,1,9)

g.5 <- c(rep(1,2),rep(9,3))
std.deviation(g.5,1,9)

g.10 <- c(rep(1,4),rep(9,5),2)
std.deviation(g.10,1,9)

DLEIVA/diversity documentation built on May 10, 2019, 1:14 a.m.