getMegDiffConfInv

Values

is a vector of categories of each real number in Values

Group

is a list of names of categories ascendingly ordered by their means.

GroupList

is a number of times of sample with replacement for bootstrapping.
The default is 1000. It must be above zero

bootT

is a significance level using in both confidence intervals and ordering inference it has the range [0,1].
The default is 0.05.

alpha

is an option for bootstrapping methods:either "perc" or "bca".
The "perc" is the default option.

methodType

getMegDiffConfInv is a support function for bootstrapping method.
Its main purpose is to compute a mean-difference confidence intervals between all pair of distributions.

A non-parametric framework based on estimation statistics principle. Its main purpose is to infer orders of empirical distributions from different categories based on a probability of finding a value in one distribution that is greater than an expectation of another distribution. Given a set of ordered-pair of real-category values the framework is capable of 1) inferring orders of domination of categories and representing orders in the form of a graph; 2) estimating magnitude of difference between a pair of categories in forms of mean-difference confidence intervals; and 3) visualizing domination orders and magnitudes of difference of categories. The publication of this package is at Chainarong Amornbunchornvej, Navaporn Surasvadi, Anon Plangprasopchok, and Suttipong Thajchayapong (2020) <doi:10.1016/j.heliyon.2020.e05435>.

Chainarong Amornbunchornvej

EDOIF

Empirical Distribution Ordering Inference Framework (EDOIF)

getMegDiffConfInv function

<dl><dt>Values</dt>
<dd>is a vector of real-number values</dd>
<dt>Group</dt>
<dd>is a vector of categories of each real number in Values</dd>
<dt>GroupList</dt>
<dd>is a list of names of categories ascendingly ordered by their means.</dd>
<dt>bootT</dt>
<dd>is a number of times of sample with replacement for bootstrapping.
The default is 1000. It must be above zero</dd>
<dt>alpha</dt>
<dd>is a significance level using in both confidence intervals and ordering inference it has the range [0,1].
The default is 0.05.</dd>
<dt>methodType</dt>
<dd>is an option for bootstrapping methods:either "perc" or "bca".
The "perc" is the default option.</dd></dl>

Arguments

getMegDiffConfInv function — getMegDiffConfInv

<dl>

<dt>Values</dt>
<dd>is a vector of real-number values</dd>


<dt>Group</dt>
<dd>is a vector of categories of each real number in Values</dd>


<dt>GroupList</dt>
<dd>is a list of names of categories ascendingly ordered by their means.</dd>


<dt>bootT</dt>
<dd>is a number of times of sample with replacement for bootstrapping.
The default is 1000. It must be above zero</dd>


<dt>alpha</dt>
<dd>is a significance level using in both confidence intervals and ordering inference it has the range [0,1].
The default is 0.05.</dd>


<dt>methodType</dt>
<dd>is an option for bootstrapping methods:either "perc" or "bca".
The "perc" is the default option.</dd>

</dl>

getMegDiffConfInv: getMegDiffConfInv function

Description

Usage

Value

Arguments