Finding the Number of Significant Principal Components

---

Documentation for package ‘PCDimension’ version 1.1.13

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

agDimCPT	Divide Steps into "Long" and "Short" to Compute Auer-Gervini Dimension
agDimension	Estimating Number of Principal Components Using the Auer-Gervini Method
agDimFunction	Divide Steps into "Long" and "Short" to Compute Auer-Gervini Dimension
agDimKmeans	Divide Steps into "Long" and "Short" to Compute Auer-Gervini Dimension
agDimKmeans3	Divide Steps into "Long" and "Short" to Compute Auer-Gervini Dimension
agDimSpectral	Divide Steps into "Long" and "Short" to Compute Auer-Gervini Dimension
agDimTtest	Divide Steps into "Long" and "Short" to Compute Auer-Gervini Dimension
agDimTtest2	Divide Steps into "Long" and "Short" to Compute Auer-Gervini Dimension
agDimTwiceMean	Divide Steps into "Long" and "Short" to Compute Auer-Gervini Dimension
AuerGervini	Estimating Number of Principal Components Using the Auer-Gervini Method
AuerGervini-class	Estimating Number of Principal Components Using the Auer-Gervini Method
brokenStick	The Broken Stick Method
bsDimension	The Broken Stick Method
compareAgDimMethods	Compare Methods to Divide Steps into "Long" and "Short"
makeAgCpmFun	Divide Steps into "Long" and "Short" to Compute Auer-Gervini Dimension
PCDimension	Estimating Number of Principal Components Using the Auer-Gervini Method
plot-method	Estimating Number of Principal Components Using the Auer-Gervini Method
rndLambdaF	Principal Component Statistics Based on Randomization
spca	Sample PCA Dataset
spca-data	Sample PCA Dataset
summary-method	Estimating Number of Principal Components Using the Auer-Gervini Method