fun.sim

Simulation function of quantitative multigroup data under a
multivariate normal distribution

Two method new of multigroup and simulation of data.
The first technique called multigroup PCA (mgPCA) this multivariate exploration approach
that has the idea of considering the structure of groups and / or different types
of variables. On the other hand, the second multivariate technique called Multigroup Dimensionality
Reduction (MDR) it is another multivariate exploration method that is based on
projections. In addition, a method called Single Dimension Exploration (SDE) was
incorporated for to analyze the exploration of the data. It could help us in a better
way to observe the behavior of the multigroup data with certain variables of interest.

Carolina Millap/'an

MultiGroupO

MultiGroup Method and Simulation Data Analysis

Esteban Vegas

Ferran Reverter

Josep M Oller

Joel Mu/~noz

fun.sim function

<dl><dt>g</dt>
<dd>An vector of the size of each group</dd>
<dt>mean1</dt>
<dd>An vector of the population means structure</dd>
<dt>d</dt>
<dd>distance d for the structure of population means</dd>
<dt>n.var</dt>
<dd>2x1 dimension vector whose first component is the number of
random variables to simulate and the second component number
of noise variables to simulate</dd>
<dt>sds2</dt>
<dd>An vector of the variances to simulate for each group noise variables</dd>
<dt>corr</dt>
<dd>An vector of the correlation to simulate for each group and noise variables</dd></dl>

Arguments

Simulation function of quantitative multigroup data under a
multivariate normal distribution — fun.sim

<dl>

<dt>g</dt>
<dd>An vector of the size of each group</dd>


<dt>mean1</dt>
<dd>An vector of the population means structure</dd>


<dt>d</dt>
<dd>distance d for the structure of population means</dd>


<dt>n.var</dt>
<dd>2x1 dimension vector whose first component is the number of
random variables to simulate and the second component number
of noise variables to simulate</dd>


<dt>sds2</dt>
<dd>An vector of the variances to simulate for each group noise variables</dd>


<dt>corr</dt>
<dd>An vector of the correlation to simulate for each group and noise variables</dd>

</dl>

fun.sim: Simulation function of quantitative multigroup data under a multivariate normal distribution

Description

Usage

Value

Arguments

Examples