What's New in The Unscrambler X version 10.2
The latest version has a range of new functions and usability improvements to make analysis data even easier.
Improvements and additions:
- The Import Interpolate function has been included in some of the vendor-specific imports. This allows data to be combined into a single table if the starting and ending points are slightly different from each other.
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Recalculate With New is added as a new feature to PCA, PCR, PLS, which allows the addition of new data to an existing model.
- Improvements have been made in the way ASCII and Excel files are imported.
- Three new vendor specific imports have been included:
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DeltaNu
. rap-ID
. Visiotec
- Export of DeltaNu files formats is now available.
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Digital signatures have been added to File - Security for enhanced data integrity purposes.
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A completely new implementation of the Orthogonal Signal Correction function has been made based on Tom Fearn's algorithm.
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An Interpolation function has been added to Tasks - Transform.
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A new algorithm for Quantile Normalization has been added to Tasks - Transform.
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Mean, Min and Max plots have been added to Tasks - Descriptive Statistics for better data visualization.
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Validation scores and leverages have been added to PCA, PCR and PLS.
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Inclusion of validation residuals added to PCR, PLS and MLR.
- Support Vector Machine Regression (SVMR) has been added to the Tasks - Analyze menu.
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Prediction using SVMR models is now provided in the Tasks - Predict menu.
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Contingency Analysis has been added to Tasks - Analyze - Statistical Tests.
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Plots have been added to the analysis node of Linear Discriminant Analysis and Support Vector Machine Classification
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Compliance Mode has been added as an installation option for those organizations that must meet the requirements of electronic signature and records handling.
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Block Weighting has been added as a new weighting option in the dialog boxes of PCA, MLR, PCR, PLS, SVMR, LDA, L-PLS, SVMC and is also available as an option in Tasks - Transform - Weights.
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Q-Residuals are now available at 6 levels of significance.
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The Discard Residuals option has been added to PCA, PCR and PLS to help reduce the size of the models by removing the large 3-D matrices associated with X-residuals.
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The Search option in Help has been optimized to include the following search features,
. Match All
. Match Any
. Match Exact
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Q-Residuals are now available for analyses performed using the NIPALS algorithm.
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A function to show the Support Vectors is available for plots in SVMC and SVMR.
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Blocking of Designs has been added to Full Factorial designs in the DoE module.
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Inclusion of up to 35 design variables in Plackett-Burman designs
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Design, response, and non-controllable variables are given in the same table for easier analysis | |