independence.test: Nonparametric Rank Tests for Independence

In StatMethRank: Statistical Methods for Ranking Data

Description

This function performs a nonparametric test of ranking data based on the correlation. This function can be applied to the ranking data with missing ranks and tie ranks.

Usage

independence.test(X1, X2, method = c("spearman", "kendall"))

Arguments

X1	a vector, using NA to stand for the missing ranks
X2	the same as X1
method	whether the test is based on Spearman correlation or Kendall correlation

Value

a list of the test statistics

Author(s)

Li Qinglong <[e-mail]>

References

Rank Correlation Methods for Missing Data, Mayer Alvo and Paul Cablio
Nonparametric Rank Tests for Independence in Opinion Surveys, Philip L.H. Yu, K.F. Lam, and Mayer Alvo

Examples

Arith = c(14, 18, 23, 26, 27, 30, 40, NA, NA)
Lang = c(28, 14, 46, NA, 53, NA, 54, 50, NA)
independence.test(Arith, Lang, method = "spearman")
independence.test(Arith, Lang, method = "kendall")

StatMethRank documentation built on Jan. 15, 2017, 8:59 p.m.