– Geometric morphometrics: includes specializedmodules for Procrustes analysis to superimpose landmarkconfigurations, 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 2Dand 3D partial warp scores and estimates of the uniformcomponent. – Multivariate tests: canonical variates analysis,tests for homogeneity of covariance matrices, tests for number ofdimensions, generalized multivariate multiple regression analysis.There are also provisions for bootstrap, jackknife, and simulationexperiments. – Interactive graphics: phenograms, phylogenetictrees, 2D scatter plots, comparison of dis/similarity matrices,Fourier plots of outlines, Procrustes plots, and 3-D perspectiveplots. Programs for multiple factor analysis,common principal components analysis, partial leastsquares,multiple correlation, and canonical correlations are alsoincluded. – Ordination: principal components & principalcoordinates analysis, correspondence analysis, metric &nonmetric multidimensional scaling analysis, singularvaluedecompositions, projections onto axes and Burnaby’s method.Canonical variates analysis. Graphs(unrooted trees) from the neighborjoining method. Neighborjoining method (including thenew unweighted version). – Clustering: UPGMA and other hierarchical SAHNmethods (allows for ties). – Similarity and dissimilarity: correlation,distance, 34 association – coefficients, and 11 coefficients. An option is provided to output to MATLAB Mfiles. Matrices can beread from Excel XLS and CSV files and trees can be read from onetype of nexus files. It can be alsoused as an ASCII text editor for very large files. A spreadsheet-like data editor is includedthat makes it easy to create and edit data files. NTS data files areASCII files that can be shared with other programs.
#Ntsys Pc Version 2.2 windows
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 isplotted). The program takes advantage of the Windowsenvironment and allows long file names and the processing of largedatasets. There is an interactivemode (with “fill-in-the-blanks” entry forms) and a batch mode witha simple command language (useful for analysis of simulations andmultiple datasets). Version for Windows is easy to use yet still has the speed andfunctionality of the previous versions. The softwareis designed for both classroom and research. Many of theresults can be shown both numerically and graphically. The kinds of descriptors and objectsused depend upon the application-morphological characters,abundances of species, presence and absence of properties, etc.NTSYSpc can transform data, estimate dis/similarities amongobjects, and prepare summaries of the relationships using clusteranalysis, ordination, and multiple factor analyses. The input can be descriptive information about collections ofobjects or directly measured similarities or dissimilaritiesbetween all pairs of objects. The program originated as NTSYS inthe 1960s but over the years is has been completely redesigned andgreatly extended for use on PCs. Of equal interest is the discovery thatthe variation in some subsets of variables are highlyinter-correlated (clustered). For example, one may wish todiscover that a sample of data points suggests that the samples mayhave come from two or more distinct populations or to estimate aphylogenetic tree using the neighbor-joining or UPGMA methods forconstructing dendrograms. NTSYSpc can be used to discover pattern andstructure in multivariate data.
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