Tool Principal Component Analysis
Principal Component Analysis (PCA) for tables.
References
- Author: O.Conrad (c) 2010
- Menu: Table|Calculus
Parameters
| Name | Type | Identifier | Description | Constraints |
Input | Table | Table, input | TABLE | - | - |
Output | Principal Components (*) | Table, output, optional | PCA | - | - |
Options | Attributes | Parameters | FIELDS | - | 0 Parameters:
|
Method | Choice | METHOD | - | Available Choices: [0] correlation matrix [1] variance-covariance matrix [2] sums-of-squares-and-cross-products matrix Default: 1 |
Number of Components | Integer | NFIRST | maximum number of calculated first components; set to zero to get all | Minimum: 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> Principal Components
Table, output, optional
-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