Multi Variate Statistical Package - MVSP

What is Multi Variate Statistical Package - MVSP?

Performs various types of self-analysis ordering: principal component analysis (PCA), principal coordinate analysis (PCO) and correspondence analysis / detrended correspondence (CA / DCA). MVSP also does canonical correspondence analysis (CCA), a highly popular technique in ecological studies.

MVSP can also perform cluster analysis, using 23 different distance or similarity measurements and seven clustering strategies. A dual clustering option allows you to produce dendrograms of variables and cases in a single step, along with a copy of the original data array, ordered in the same order as the dendrograms. Constraint grouping can also be performed so that the original input data order is maintained. Diversity indices can be calculated in ecological data; These include the Simpson, Shannon and Brillouin contents.

In MVSP number of cases and variables that can be analyzed is limited only by the amount of memory available for Windows (RAM and hard disk swap file), up to a maximum of 2 billion cases and variables.

Features of MVSP

• Easy to use, with modern Windows interface (configurable toolbar, context menus, simple menu structure).
• Numerous user-defined options that are automatically saved for future use.
• Economized desktop; you can save all the results, charts, and notes from the current scan session to disk, and then restore them later to pick up where you left off.
• Unlimited number of variables and cases (restricted only by available Windows memory, including RAM and hard disk swap file).
• Manipulation of the data matrix:
• Built in spreadsheet-like data editor; includes multi-level undo capabilities, removal and insertion of rows and columns.
• Transposition of the array.
• Data transformation, using logarithms for base 10, and, and 2, square root, Aitchison logratio for percentage data and standardization. Individual variables can be selected for transformation.
• Conversion of extension through format for stratigraphic studies.
• You can assign individual cases to pre-designated groups; These are shown in results and graphs.
• Merging multiple data files into one.
• Import and export of data; Lotus 1-2-3 and Symphony, Excel, Quattro, xBase, Paradox, SIMSTAT, Plain Text and Cornell Ecology Programs.
• Import process facilitated by using the import preview dialog; allows you to view imported data and change options to ensure successful results.

System requirements:

CPU: 1.8 GHz dual core processor

RAM: 2 GB

HDD / SSD: 50 GB of free space on the main drive

Operating system: Microsoft Windows 10, Microsoft Windows 8 32-bit, Microsoft Windows 7 32-bit and Microsoft Windows Vista 32-bit

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