getpvkendall: Statistical Significance for Kendall's Linearity Index

In DLEIVA/DyaDA: Dyadic Data Analysis

Description

Function to estimate statistical significance for Kendall's linearity index.

Usage

   getpvkendall(X)

Arguments

X	Original sociomatrix.

Details

getpvkendall estimates statistical significance for Kendall's linearity index by means of a Chi-squared test. It is appropriated only for groups of size bigger than or equal to 10 individuals.

Value

Chisq	Chi-squared statistical value.
df	Degrees of freedom.
pvalue	Statistical significance for the statistic.

Author(s)

David Leiva <[e-mail]>, Antonio Solanas <[e-mail]>, Han de Vries <[e-mail]>, & David A. Kenny <[e-mail]>.

References

Kendall, M. G., & Babington Smith, B. (1940). On the method of paired comparisons. Biometrika, 31, 324-345.

See Also

getcirc, getexpeccirc, getkendall, getmaxcirc.

Examples

  set.seed(123)
  X <- matrix(floor(runif(20*20,min=0,max=20)),nrow=20,byrow=TRUE)
  diag(X)<-0
  getpvkendall(X)

DLEIVA/DyaDA documentation built on May 6, 2019, 1:17 p.m.