mathmarks

Examination marks of 88 students in the five subjects:
  <ul><li>Mechanics,</li><li>Vectors,</li><li>Algebra,</li><li>Analysis,</li><li>Statistics.</li></ul>

datasets

This package provides routines to perform SIN model
        selection as described in Drton & Perlman (2004, 2008).  The
        selected models are represented in the format of the 'ggm'
        package, which allows in particular parameter estimation in the
        selected model.

Mathias Drton

A SINful Approach to Selection of Gaussian Graphical Markov
        Models

mathmarks function

A list providing a summary of the data. The list contains:
  <tabular>lcl</tabular>{
    <code>mathmarks$means</code> 	: 	the mean vector,<code>mathmarks$stddev</code>   	: 	the vector of standard deviations,<code>mathmarks$corr</code> 	: 	the correlation matrix, and <code>mathmarks$n</code>    	: 	the sample size.
  }

format

Mardia, K.V., Kent, J.T. & Bibby, J.M. (1979) <em>Multivariate
    analysis</em>. London: Academic Press. (See pp.3-4).
  Whittaker, J. (1990) <em>Graphical models in applied
    multivariate statistics</em>. Chichester: Wiley. (See Ch. 1.1).

mathmarks: Mathematics marks

Description

Usage

Arguments

format

source

Details

Examples