indep.etest | R Documentation |
Defunct: use indep.test
with method = mvI
.
Computes a multivariate nonparametric E-statistic and test of independence.
indep.e(x, y) indep.etest(x, y, R)
x |
matrix: first sample, observations in rows |
y |
matrix: second sample, observations in rows |
R |
number of replicates |
Computes the coefficient I_n and performs a nonparametric
E-test of independence. The test decision is obtained via
bootstrap, with R
replicates.
The sample sizes (number of rows) of the two samples must agree, and
samples must not contain missing values. The statistic
E = I^2 is a ratio of V-statistics based
on interpoint distances ||x_{i}-y_{j}||.
See the reference below for details.
The sample coefficient I is returned by indep.e
.
The function indep.etest
returns a list with class
htest
containing
method |
description of test |
statistic |
observed value of the coefficient I |
p.value |
approximate p-value of the test |
data.name |
description of data |
Maria L. Rizzo mrizzo@bgsu.edu and Gabor J. Szekely
Bakirov, N.K., Rizzo, M.L., and Szekely, G.J. (2006), A Multivariate Nonparametric Test of Independence, Journal of Multivariate Analysis 93/1, 58-80
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.