Tsqlim and Release Notes Version 7 5: Difference between pages

From Eigenvector Research Documentation Wiki
(Difference between pages)
Jump to navigation Jump to search
imported>Scott
 
imported>Scott
 
Line 1: Line 1:
===Purpose===
==New Features in Solo and PLS_Toolbox==


Calculates PCA confidence limits for Hotelling's T<sup>2</sup>.
===[[Modelselectorgui | Model Selector Interface]]===
* Graphical Interface to build [[Modelselector | Model Selector]] models.
* Drag and drop models from the Model Cache.
* Graphically add decisions to each node.


===Synopsis===
===[[Modeloptimizergui | Model Optimizer]]===
* Added ability to [[Modeloptimizergui#Survey_Preprocessing | survey]] preprocessing for a given snapshot.
* Additional models added (ANN).


:tsqcl = tsqlim(m,pc,cl)
===New/Improved Importers===
:tsqcl = tsqlim(model,cl)
* [[gwscanreadr|Guided Wave Scan and Autoscan]] importer added
* ...............
* Improved memory and speed performance for text parsing


===Description===
===New/Improved Preprocessing Methods===
* [[EMSC_Toolbox_Manual|EMSC]] is now out of patent and included with PLS_Toolbox.


Inputs can be in one of two forms:
===Analysis===
* Completely revamped [[Optionseditor|options window]] allows easier saving and restoring of options.
* ANN added to methods list.
* Export and Import models directly from [[Analysis_Window:_Model_Cache_Pane#Exporting_and_Importing_Models | cache]].


(a) the number of samples <tt>m</tt>, the number of principal components used <tt>pc</tt>, and the fractional confidence limit, <tt>cl</tt> (0 < cl < 1) which can be a scalar or a vector (to calculate multiple confidence limits simultaneously).
===Plot Controls===


or (b) a standard model structure, <tt>model</tt>, and the fractional confidence limit, <tt>cl</tt> (0 < cl < 1).


The output <tt>tsqcl</tt> is the confidence limit based on an F distribution as shown below. See Jackson (1991).
==New Command-line Features and Functions==


    <math>T_{K,M,\alpha }^{2}=\frac{K\left( M-1 \right)}{M-K}{{F}_{K,M-K,\alpha }}</math>
===Command-line Tool Changes===


where <math>K</math> is the number of PCs, <math>M</math> is the number of samples and <math>{{F}_{K,M-K,\alpha }}</math> is the F distribution with <math>K</math> degrees of freedom in the numberator and <math>M-K</math> degrees of freedom in the denominator, and probability point <math>\alpha</math>.


===Examples===
===Misc New Functions===
 
* [[ann]] - Artificial Neural Network regression models.
tsqcl = tsqlim(15,2,0.95)
* [[emscorr]] - Extended Multiplicative Scatter Correction (EMSC).
 
* [[importtool]] - GUI for designating column/row data types.
model = pca(data,pc); tsqcl = tsqlim(model,0.95)
* [[modelselectorgui]] - Graphical Interface to built ModelSelector models
 
* [[preprocessiterator]]- Create array of preprocessing combinations.
===See Also===
* [[sammon]] - Computes Sammon projection for data or map.
 
* [[textreadr]] - Reads an ASCII or .XLS file in as a DataSet Object (formally xclreadr).
[[analysis]], [[chilimit]], [[pca]], [[pcr]], [[pls]], [[subgroupcl]]

Revision as of 22:18, 13 November 2013

New Features in Solo and PLS_Toolbox

Model Selector Interface

  • Graphical Interface to build Model Selector models.
  • Drag and drop models from the Model Cache.
  • Graphically add decisions to each node.

Model Optimizer

  • Added ability to survey preprocessing for a given snapshot.
  • Additional models added (ANN).

New/Improved Importers

New/Improved Preprocessing Methods

  • EMSC is now out of patent and included with PLS_Toolbox.

Analysis

  • Completely revamped options window allows easier saving and restoring of options.
  • ANN added to methods list.
  • Export and Import models directly from cache.

Plot Controls

New Command-line Features and Functions

Command-line Tool Changes

Misc New Functions

  • ann - Artificial Neural Network regression models.
  • emscorr - Extended Multiplicative Scatter Correction (EMSC).
  • importtool - GUI for designating column/row data types.
  • modelselectorgui - Graphical Interface to built ModelSelector models
  • preprocessiterator- Create array of preprocessing combinations.
  • sammon - Computes Sammon projection for data or map.
  • textreadr - Reads an ASCII or .XLS file in as a DataSet Object (formally xclreadr).