SAGA-GIS Tool Library Documentation (v6.1.0)

Tool Principle Components Analysis

Principle Components Analysis (PCA) for tables. Implementation based on F. Murtagh's code as provided by the StatLib web site.

References:
Bahrenberg, G., Giese, E., Nipper, J. (1992): Statistische Methoden in der Geographie 2 - Multivariate Statistik. pp.198-277.

Parameters

 NameTypeIdentifierDescriptionConstraints
InputTableTable (input)TABLE--
OutputPrinciple Components (*)Table (optional output)PCA--
OptionsAttributesParametersFIELDS-0 Parameters:
MethodChoiceMETHOD-Available Choices:
[0] correlation matrix
[1] variance-covariance matrix
[2] sums-of-squares-and-cross-products matrix
Default: 1
Number of ComponentsIntegerNFIRSTmaximum number of calculated first components; set to zero to get allMinimum: 0
Default: 3
(*) optional

Command-line

Usage: saga_cmd table_calculus 7 [-TABLE <str>] [-PCA <str>] [-METHOD <str>] [-NFIRST <num>]
  -TABLE:<str> 	Table
	Table (input)
  -PCA:<str>   	Principle Components
	Table (optional output)
  -METHOD:<str>	Method
	Choice
	Available Choices:
	[0] correlation matrix
	[1] variance-covariance matrix
	[2] sums-of-squares-and-cross-products matrix
	Default: 1
  -NFIRST:<num>	Number of Components
	Integer
	Minimum: 0
	Default: 3