CVAgsvd

Create a CVA biplot using the generalised singular value decomposition when
number of variables (p) is larger than the number of samples (n).

Construct a Canonical Variate Analysis Biplot via the Generalised Singular Value Decomposition, for cases when the number of samples is less than the number of variables. For more information on biplots, see Gower JC, Lubbe SG, Le Roux NJ (2011) <doi:10.1002/9780470973196> and for more information on the generalised singular value decomposition, see Edelman A, Wang Y (2020) <doi:10.1137/18M1234412>.

Raeesa Ganey

wideRhino

High-Dimensional Methods via Generalised Singular Decomposition

CVAgsvd function

<dl><dt>X</dt>
<dd>n x p data matrix</dd>
<dt>group</dt>
<dd>vector of size n showing the groups</dd></dl>

Arguments

CVA Biplot using the GSVD — CVAgsvd

<dl>

<dt>X</dt>
<dd>n x p data matrix</dd>


<dt>group</dt>
<dd>vector of size n showing the groups</dd>

</dl>

CVAgsvd: CVA Biplot using the GSVD

Description

Usage

Value

Arguments

Details

Examples