The Unscrambler® X Features

Features
What's new


Descriptive Statistics Mean/ Std Dev/ Quartiles/ Cross Correlations/ Scatter Effects Statistical Tests Normality Test/ t-Tests/ F-Tests/ Mardia’s Multivariate Test Cluster Analysis K-means / K-medians Ward’s method Hierarchical Cluster Analysis (HCA) with dendrograms Principal Component Analysis (PCA) Choice of using NIPALS or SVD algorithms Rotation methods including Varimax, Equimax, Quartimax and Parsimax Multivariate Curve Resolution (MCR) Resolve time evolving data such as chemical reaction or chromatographic data into pure constituent profiles and pure spectra	Regression Methods Multiple Linear Regression (MLR) / Principal Component Regression (PCR) and Partial Least Squares Regression (PLSR) Choice of algorithms, NIPALS and SVD for PCR and NIPALS, Kernel Methods and Orthogonal Scores for PLSR Improved Test Set Validation options Q-Residuals in influence plots L-PLS, incorporating three data tables for greater insights into data structure Advanced Classification Methods Projection using PCA and PLS models Soft Independent Modelling of Class Analogy (SIMCA) now also incorporating PLS models Linear Discriminant Analysis (LDA) Support Vector Machines (SVM) Classification with numerous kernel types	Spectral Functions Smoothing Derivatives: Moving Average/ Norris Gap/ Savitzky-Golay Baseline Correction Normalization Spectroscopic: Reflectance/ Transmission/ Kubelka-Munck Scatter Correction and Advanced Functions Multiplicative and Extended Multiplicative Scatter Correction (MSC/ EMSC) Standard Normal Variate (SNV) Deresolve Detrending General Transforms Improved Centre and Scale options Spectroscopic: Reflectance/ Transmission/ Kubelka-Munck Interaction & Squares and Individual Variable Weighting Compute General Fill Missing Values Correlation Optimization Warping (COW)	Improved Design Wizard Interactive design setup with full descriptions and Beginner/ Expert modes Complete range of full and fractional factorial designs Enhanced optimization designs including Central Composite (CCD) and Box-Behnken (BB) designs Enhanced mixture designs including Axial, Simplex Lattice and Simplex Centroid designs Choice of Analysis Algorithms Classical MLR and ANOVA-PLS for non-orthogonal designs PLSR or Scheffe Polynomials for mixture designs Comprehensive Analysis Overview ANOVA tables and other tabular results Cube Plots Response Surfaces Analysis of Effects Interactive Tables

Cross Validation Prediction Diagnostics

The CV Prediction Diagnostics results give you valuable information about the stability of the model given the actual cross validation scheme. This is useful for checking the model robustness when validating across various levels for a category variable, replicated measurements, sample origin or other background information.

New Plot Options

The plot options are now even more powerful with the inclusion of improved sample grouping options, and scaling and sample grouping options for 3D plots. This allows you to highlight important information and see structures within the data even more clearly.

Project based data organisation

The user interface has been reviewed to help organize data and analyses into projects. Each data set, analysis result and associated plots are displayed as nodes in a tree structure to provide simpler and faster ways to browse the right information and use it.

Easy data import

Getting data into The Unscrambler® X is the first step of any analysis. We have made it simple & intuitive and you can preview only the data you want to import. Sample and variable names are attributed automatically. Preview works for both spreadsheet data and spectroscopic data.

Interactive pretreatments

Finding appropriate transformation parameters can be time-consuming. Real-time preview of results will help you find the right parameters in a shorter time, as the pretreatment is being performed. A new matrix is generated, keeping the original data intact and allowing comparison and reversion.

Superior data visualisation

The Unscrambler® X provides a whole range of graphical tools to get the best visual representation of your data. You can style charts and draw lines, marks and add text to annotate them. Copy and paste plot graphics into documents or save in common picture formats.

Windows domain authentication

The Unscrambler® X now can be set up to accept user credentials as login, or enter a predefined user name and password. This system of login is compliant with the requirements of electronic signatures and records required by the US FDA. The Audit Trail system has been greatly improved.

L-PLS, HCA, SVM and LDA alogirthms

L-PLS, LDA, SVM are powerful new methods for analyzing and classical statistical approach to classification, included in The Unscrambler® X. It also contains improved K-Means analysis, HCA with dendrograms, Ward’s Methods etc

Improved calculation efficiency & performance

With The Unscrambler® X, Get more information from fewer experiments, Faster calculations , Maintain Forward compatibility of all data and model files, which can be used in real-time via Unscrambler Online and with Unscrambler Predictor (OLUP)/ Unscrambler Classifier (OLUC).

Basic statistical tests

The Basic Statistical Tests functionality provides some of the most commonly used statistical tests for comparing two sample sets. They include: KS and Mardia's test, Student's t test, Paired t test, Levene's, Barlett's and F test.

Report generator

Report generator generates customized reports with options to choose settings for page setup, report content, preview and security. All reports can be saved in PDF format.

The Unscrambler® X Features

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