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NTSYSpc can be used to discover pattern and structure in multivariate data. For example, one may wish to discover that a sample of data points suggests that the samples may have come from two or more distinct populations or to estimate a phylogenetic tree using the neighbor-joining or UPGMA methods for constructing dendrograms.
Of equal interest is the discovery that the variation in some subsets of variables are highly inter-correlated clustered. We use a shopping cart supported by Shopify. There is also a small delay as our bank does not notify us of its receipt for a couple of days. Need help? This file was last modified on 3 June Shop at amazon. Convenient links: Software , Electronics.
NTSYSpc version 2. The input can be descriptive information about collections of objects or directly measured similarities or dissimilarities between all pairs of objects. Many of the results can be shown both numerically and graphically. The software is designed for both classroom and research. Version 2. There is an interactive mode with "fill-in-the-blanks" entry forms and a batch mode with a simple command language useful for analysis of simulations and multiple datasets.
The program takes advantage of the Windows environment and allows long file names and the processing of large datasets. Plot options windows allows you to customize the plots specify titles, fonts, sizes, colors, scales, line widths, background colors, margins, and many other aspects of what is plotted.
There is also a print preview mode. Long input lines are supported. A spreadsheet-like data editor is included that makes it easy to create and edit data files.
Similarity and dissimilarity: correlation, distance, 34 association coefficients, and 11 genetic distance coefficients. Neighbor-joining method including the new unweighted version. Several types of consensus trees.
Graph theoretic methods: minimum-length spanning trees. Graphs unrooted trees from the neighbor-joining method. Canonical variates analysis. Programs for multiple factor analysis, common principal components analysis, partial least-squares, multiple correlation, and canonical correlations are also included. Multivariate tests: canonical variates analysis, tests for homogeneity of covariance matrices, tests for number of dimensions, generalized multivariate multiple regression analysis.
There are also provisions for bootstrap, jackknife, and simulation experiments. Geometric morphometrics: includes specialized modules for Procrustes analysis to superimpose landmark configurations, plotting the results of a Procrustes analysis, Fourier analysis including 2D and 3D elliptic of outline shapes, plotting outlines and Fourier coefficients, and computation of 2D and 3D partial warp scores and estimates of the uniform component.
Other: includes comparison of matrices by cophenetic correlation, Mantel test, 3-way Mantel test, data standardization, and matrix transformations simple functions, deletion, and now matrix transpose. Matrices can be split or combined. Documentation includes An installation guide PDF. A Getting Started Guide and an extensive help file with the technical details.
Additional information about new features in version 2. There is a Frequently Asked Questions page. In addition, there is a technical details web page. Licensed users can download a copy of the latest update to NTSYSpc when an update becomes available as new features added or bugs fixed.
Useful books. Software conforms to Windows standards so it should work well using Windows emulators and virtual machines including Parallels on a Mac although a special -N option may need to be used. The -N option may also be needed when used in student labs where users do not have access to system folders. Requires about 15 MB of disk space after installation is complete.
Includes a help file with technical details about the computations and a "getting started" PDF file. A PDF file with an install guide is available here. End User license agreement. Place your order today!
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