moreStats

This function produces another summary of a <code>data.frame</code>. This function
was proposed in order to apply some functions globally on a <code>data.frame</code>:
<code>quantile</code>, <code>median</code>, <code>min</code> and <code>max</code>. The usual R
version cannot do so.

multivariate

Indices, heuristics and strategies to help determine the number of factors/components to retain:
1. Acceleration factor (af with or without Parallel Analysis);
2. Optimal Coordinates (noc with or without Parallel Analysis);
3. Parallel analysis (components, factors and bootstrap);
4. lambda > mean(lambda) (Kaiser, CFA and related);
5. Cattell-Nelson-Gorsuch (CNG);
6. Zoski and Jurs multiple regression (b, t and p);
7. Zoski and Jurs standard error of the regression coeffcient (sescree);
8. Nelson R2;
9. Bartlett khi-2;
10. Anderson khi-2;
11. Lawley khi-2 and
12. Bentler-Yuan khi-2.

Gilles Raiche

nFactors

Parallel Analysis and Other Non Graphical Solutions to the
Cattell Scree Test

moreStats function

<dl><dt>x</dt>
<dd>numeric: matrix or <code>data.frame</code></dd>
<dt>quantile</dt>
<dd>numeric: quantile of the distribution</dd>
<dt>show</dt>
<dd>logical: if <code>TRUE</code> prints the quantile choosen</dd></dl>

Arguments

Gilles Raiche Centre sur les Applications des Modeles de
Reponses aux Items (CAMRI) Universite du Quebec a Montreal 
<a href="/link/raiche.gilles%40uqam.ca?package=nFactors&version=2.4.1.1" data-mini-rdoc="nFactors::raiche.gilles@uqam.ca">raiche.gilles@uqam.ca</a>

Author

Statistical Summary of a Data Frame — moreStats

<dl>

<dt>x</dt>
<dd>numeric: matrix or <code>data.frame</code></dd>


<dt>quantile</dt>
<dd>numeric: quantile of the distribution</dd>


<dt>show</dt>
<dd>logical: if <code>TRUE</code> prints the quantile choosen</dd>

</dl>

Gilles Raiche Centre sur les Applications des Modeles de
Reponses aux Items (CAMRI) Universite du Quebec a Montreal 
<a href='mailto:raiche.gilles@uqam.ca'>raiche.gilles@uqam.ca</a>

moreStats: Statistical Summary of a Data Frame

Description

Usage

Value

Arguments

Author

See Also

Examples