ggscreeplot

Produces scree plots (Cattell, 1966) of the variance proportions explained by each dimension against dimension number from 
various dimension reduction techniques

A 'ggplot2' based implementation of biplots, giving a representation of a dataset in
a two dimensional space accounting for the greatest variance, together with variable vectors
showing how the data variables relate to this space. It provides a
replacement for stats::biplot(), but with many enhancements to control the analysis and
graphical display. It implements
biplot and scree plot methods which can be used with the results of prcomp(), princomp(),
FactoMineR::PCA() or MASS::lda() and can be customized using 'ggplot2' techniques.

Michael Friendly

ggbiplot

A Grammar of Graphics Implementation of Biplots

Vincent Vu

Aghasi Tavadyan

ggscreeplot function

<dl><dt>pcobj</dt>
<dd>an object representing a linear dimension technique, such a returned by <code><a href="/link/prcomp?package=ggbiplot&version=0.6.1" data-mini-rdoc="ggbiplot::prcomp">prcomp</a></code> 
or <code><a href="/link/princomp?package=ggbiplot&version=0.6.1" data-mini-rdoc="ggbiplot::princomp">princomp</a></code> or <code>PCA</code> or <code><a href="/link/lda?package=ggbiplot&version=0.6.1" data-mini-rdoc="ggbiplot::lda">lda</a></code></dd>
<dt>type</dt>
<dd>the type of scree plot.
'pev' corresponds proportion of explained variance, i.e. the eigenvalues divided by the trace. 
'cev' corresponds to the cumulative proportion of explained variance, i.e. the partial sum of the first k eigenvalues divided by the trace.</dd>
<dt>size</dt>
<dd>point size</dd></dl>

Arguments

Screeplot for Principal Components — ggscreeplot

<dl>

<dt>pcobj</dt>
<dd>an object representing a linear dimension technique, such a returned by <code><a href='https://rdrr.io/r/stats/prcomp.html'>prcomp</a></code> 
or <code><a href='https://rdrr.io/r/stats/princomp.html'>princomp</a></code> or <code>PCA</code> or <code><a href='https://rdrr.io/pkg/MASS/man/lda.html'>lda</a></code></dd>


<dt>type</dt>
<dd>the type of scree plot.
'pev' corresponds proportion of explained variance, i.e. the eigenvalues divided by the trace. 
'cev' corresponds to the cumulative proportion of explained variance, i.e. the partial sum of the first k eigenvalues divided by the trace.</dd>


<dt>size</dt>
<dd>point size</dd>

</dl>

ggscreeplot: Screeplot for Principal Components

Description

Usage

Value

Arguments

References

Examples