Varcap: Difference between revisions

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===Purpose===
===Purpose===


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VARCAP calculates and displays the percent variance captured for each variable and number of principal components in a PCA model.
VARCAP calculates and displays the percent variance captured for each variable and number of principal components in a PCA model.


Inputs are the properly scaled ''M'' by ''N'' data x (''i.e.'' scaled using the same scaling used when creating the PCA model) with associated ''N'' by ''K'' loadings matrix loads.
Inputs are the properly scaled ''M'' by ''N'' data <tt>x</tt> (''i.e.'' scaled using the same scaling used when creating the PCA model) with associated ''N'' by ''K'' loadings matrix <tt>loads</tt>.


Optional input ''scl'' (1 by ''N'') specifies the x-axis for plotting. Optional input ''plots'' suppresses plotting when set to 0 {default = 1}.
Optional input ''<tt>scl</tt>'' (1 by ''N'') specifies the x-axis for plotting. Optional input ''<tt>plots</tt>'' suppresses plotting when set to 0 {default = 1}.


The output is a ''K'' by ''N'' matrix of variance captured vc for each variable and each number of PCs considered (vc is number of PCs by number of variables). A stacked bar chart of vc is also plotted. Optional input ''plots'' suppresses plotting when set to 0 {default = 1}.
The output is a ''K'' by ''N'' matrix of variance captured <tt>vc</tt> for each variable and each number of PCs considered (<tt>vc</tt> is size: [number of PCs by number of variables]). A stacked bar chart of <tt>vc</tt> is also plotted (See optional input ''<tt>plots</tt>'').


===See Also===
===See Also===


[[analysis]], [[pca]]
[[analysis]], [[pca]]

Revision as of 10:56, 10 October 2008

Purpose

Variance captured for each variable in PCA model.

Synopsis

vc = varcap(x,loads,scl,plots)

Description

VARCAP calculates and displays the percent variance captured for each variable and number of principal components in a PCA model.

Inputs are the properly scaled M by N data x (i.e. scaled using the same scaling used when creating the PCA model) with associated N by K loadings matrix loads.

Optional input scl (1 by N) specifies the x-axis for plotting. Optional input plots suppresses plotting when set to 0 {default = 1}.

The output is a K by N matrix of variance captured vc for each variable and each number of PCs considered (vc is size: [number of PCs by number of variables]). A stacked bar chart of vc is also plotted (See optional input plots).

See Also

analysis, pca