MacAnova

A Program for Statistical Analysis and Matrix Algebra
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MacAnova Ranking & Summary

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  • Rating:
  • License:
  • GPL
  • Publisher Name:
  • Gary W. Oehlert and Christopher Bingham
  • Operating Systems:
  • Windows All
  • File Size:
  • 8.5 MB

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MacAnova Description

MacAnova is an open source, interactive statistical analysis program. It has many capabilities but its strengths are analysis of variance and related models, matrix algebra, time series analysis (time and frequency domain), and (to a lesser extent) uni- and multi-variate exploratory statistics. Core MacAnova has a functional / command oriented interface, but an increasing number of capabilities are available through a menu / dialog / mouse type interface. MacAnova is an interactive, programmable, multi-platform computer program for matrix manipulation and statistical analysis. It features powerful commands for the analysis of linear and generalized linear models, for multivariate analysis, and for the frequency analysis of time series. Get MacAnova and give it a try to see just how useful it can actually be for you! Main features: Commands for entering, modifying, combining, and selecting data Functions for standard statistical computations such as descriptive statistics, Pvalues, t-tests and power computations Commands for plotting data and results, including box plots and residuals plots A grammar for specifying linear models which includes the capability of transforming both the dependent and independent variables “on the fly” Functions for fitting linear and some generalized linear models to data Functions to compute fast Fourier transforms (FFT) Commands for clustering and factor rotation Matrix related operations, including inversion, linear equation solving, ordinary and relative eigenvalue/eigenvector computation, QR, Cholesky and singular value decompositions Conditional execution with syntax elements if, else and elseif Looping capability with syntax elements for, while and break A powerful macro capability that can be used to define new procedures. Ability to work conveniently with “ragged” (non-rectangular) data sets in the form of structures The ability to dynamically load and execute “user functions” – externally compiled C and Fortran routines On-line usage information and extensive help for all commands and most features Libraries of macros useful in frequency domain time series analysis and the design and analysis of experiments The ability to save a workspace containing current results and restore it later.


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