Release Notes Version 6 5

Version 6.5 of PLS_Toolbox and Solo was released in October, 2011.

For general product information, see PLS_Toolbox Product Page. For information on Solo, see Solo Product Page.

(back to Release Notes PLS Toolbox and Solo)

NEW FEATURES

Classification Methods

- Total flexibility in choosing class sets to model (through class groups interfaces or Edit > Options > Method Options menu)

- Confusion table and matrix tools added

- Unified reporting of classification results for SIMCA, KNN, PLSDA, and SVMDA including:

• all class probabilities
• most probable assignment
• strict in-class assignment
• strict multi-class assignments

- KNN Cross-validation fully supported

Design Of Experients (DOE) Tools

- Significant addition of tools for DOE generation and testing

- Experiement Designer tool added to create, examine, and print run sheets for designed experiments doegui

- DOE Anova tool added to calculate significance of factors and interactions

- Added support tools to: scale factors, calculate interactions, identify confused factors and interactions

- Design generation tools included for:

• Mixed-level Full Factorial Designs (factdes)
• Fractional Factorial Designs (ffacdes1)
• Face and Spherical Central Composite Designs (ccdface, ccdsphere)
• Box-Behnken Designs (boxbehnken)

- Command-line tools added include:

anovadoe - Function to perform ANOVA for 2^k factorial model X, Y data

boxbehnken - Create a Box-Behnken Design of Experiments.

ccdface - Create a Face-Centered Central Composite Design of Experiments.

ccdsphere - Create a Spherical Central Composite Design of Experiments.

doegen - Generate a Design of Experiments (DOE) DataSet object.

doegui - Design of Experiments tool.

doeeffectsplot - Main & Interaction Effects plots.

doeinteractions - Calculates interaction terms of a raw DOE matrix.

doescale - Convert coded DOE to scaled DOE or scaled back to coded.

factdes - Full factorial design of experiments.

ffacconfusion - DOECONFUSION Generates confusion table for a fractional factorial DOE.

ffacdes1 - FACTDES Fractional factorial 2-level design of experiments.

Other Method Improvements

- Permutation testing of regression and classification models greatly improved with probabilities of model significance and plots

- Support Vector Machine One-Class support added (svmoc; command-line only)

- MCR/ALS contrast algorithm improved providing better handling of low signal cases.

- MLR support for studentized residuals, T^2 and limits added

- MODELSELECTOR trigger can now use of any classification model or a simple logical test on predictions from a regression or PCA model.

Preprocessing

- Spectral Alignment method added (using either peak alignment using registerspec or Correlation Optimized Warping (COW))

- Correlation Optimized Warping (COW) and Dynamic Time Warping (DTW) added (from http://www.models.kvl.dk/DTW_COW )

- Poisson scaling offset support added

- Class centering method added for Multilevel PLS models and other clutter-correction methods

- "Transform" options for data blocks in Analysis window. Context menu gives quick access to:

• Batch Digestion (MPCA, Summary PCA)
• Calibration Transfer
• Polynomial Augmentation (Non-linear modeling)
• Coadd Data Reduction (Down-sampling)
• Calibration Sample Selection (redundant sample exclusion, re Westerhuis method)

- Baseline removal improved with manual entry of baseline points and easier graphical selection.

- GLSW improved to work with multi-class PLSDA classification models (multivariate logical y-blocks)

- Help and technical details easy-access links added to Preprocessing Window

- Descriptions automatically update to show current settings for adjustable methods

Import / Export

- Omnic SPA file importer added

- Galactic DHB file importer added (support in SPC reader)

- 3-way data importing from multiple files or multiple Excel spreadsheets added

- Excel multi-sheet document importing improved (better labeling and concatenation options)

- XML format, improved importing of objects and image DataSets

- System clipboard importing improved

- Importer list easier to navigate

- Autoexport tool added for easy saving of data to external formats

DataSet Editor

- Summary statistics for all or part of the given data (View > Summary Statistics, context menu access) added

- Access to all classes, labels, and axisscales on data table view (pull-down menus on Data tab)

- Date stamps as axisscales improved. Dates are displayed as text dates and not datestamp values

- Selection of data improved with easier selection full integration with plots of data

- Data exchange between interfaces improved (File > Send To menu)

- Quick access to commonly used operations (via toolbar buttons)

Plot Controls

- "Stacked" plots (automatic y-scale toolbar button cycles through scaled data, stacked data, normal view)

- "Color by" any related data or user-selected data

- "Invert selection" toolbar button added

- Improved access to data in table format

- Persistent selection capability. Selection mode stays activated after a selection. (Optional - disable through settings)

- Customizable line widths (context menu on the plot)

- Customizable figure toolbar to choose which toolbar buttons are shown.

- Time-based axes have improved automatic update after a zoom or pan

Analysis Window

- Automatic data augmentation by simply importing / loading new data

- Easier to read format for main table with improved information

- Model Cache speed improvements

Workspace Browser

- DOE Experiment Designer and easy Calibration Transfer model application added

- Drag/drop of multiple items improved

Command-line Tool Changes

Full Support for Matlab R2011b

crossval

- improved display of classification results

- improved integration with model input

fasternnls - improved performance for large numbers of factors and for low signal problems

flucut - new function to remove scatter from fluorescence EEM data

parafac2 - improved memory efficiency and missing data support

residuallimit - add support for calculating confidence level from given Q value and a model

stdgen - tuned performance

summary - improved output and display options. Now outputs DSO or displays more useful data.

svmda - improved parameter selection for special cases

svmoc - Add support for one-class SVM.

wlsbaseline - added variable weights as output (weighting used on each variable in spectrum)

excludemissing - improved handling of unusual missing data patterns

NEW FUNCTIONS AND FILES

TBC