testdata2

The data set testdata2 contains two variables.

datasets

P-values and no/lowest observed (adverse) effect concentration values derived from the closure principle computational approach test (Lehmann, R. et al. (2015) <doi:10.1007/s00477-015-1079-4>) are provided. The package contains functions to generate intersection hypotheses according to the closure principle (Bretz, F., Hothorn, T., Westfall, P. (2010) <doi:10.1201/9781420010909>), an implementation of the computational approach test (Ching-Hui, C., Nabendu, P., Jyh-Jiuan, L. (2010) <doi:10.1080/03610918.2010.508860>) and the combination of both, that is, the closure principle computational approach test.

René Lehmann

CPCAT

The Closure Principle Computational Approach Test

testdata2 function

A data frame with 16 rows and 2 variables:<dl>
<dt>Poissondata</dt>
<dd>Contains 16 realizations of Poisson distributed random variables.</dd><dt>group</dt>
<dd>Contains the group names of the Poisson data.</dd>
</dl>

Format

Description of testdata2 — testdata2

A data frame with 16 rows and 2 variables:<dl>
<dt>Poissondata</dt>
<dd>Contains 16 realizations of Poisson distributed random variables.</dd>

<dt>group</dt>
<dd>Contains the group names of the Poisson data.</dd>


</dl>

testdata2: Description of testdata2

Description

Usage

Arguments

Format

Examples