This is the Windows app named Jacobi-Static whose latest release can be downloaded as XRSSfeedforfil. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS
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Jacobi-Static
DESCRIPTION
The STATIC/EX includes three applications: static.exe - a simple multivariate statistics calculator; spector.exe - file and online data viewer; tester.exe - an IPC client to develop and debug operations with embedded STATIC/EX IPC server. This toolkit can be used for:
• user's training (who are interested in multivariate statistics)
• scientific and other data researching.
Features
- data entry, including directly from the command line
- splitting a data set into several and merging several data sets
- flexible management of data samples (for almost every processing step, you can specify your own set of objects and/or features)
- saving data to a file and reading it from a file (standard .std files and Comma‐Separated‐Values, .csv – a sequence of lines of numbers with separators)
- calculation of a set of traditional statistical parameters of the sample (for each feature – the number of values presented, the minimum, maximum and average value of the feature, its dispersion, standard deviation and error)
- data transformation (recalculation of values – change via a constant, standard function, or via the values of attributes, one or more)
- data cleaning from contamination
- factor analysis with the principal component processing
- obtaining a matrix of eigenvectors, a row of eigenvalues, a matrix of pair correlations (covariances, second moments – depending on the context)
- visual representation of «phase portraits» in the form of clouds of scattering of objects and spatial distribution of features
- saving for further use (for example, when preparing publications) the results of statistical processing in the form of .csv files
- find the level of statistically significant proportion of information contained in the data being studied (assessment of the level of “signal” and “noise”)
- investigate internal patterns consisting of manifestations of the action of independent factors
- describe the nature and content of the identified factors, based on correlations between features and their contributions to the eigenvectors
- compute autocorrelations for time series with arbitrary lag
- draw clustering of scattering clouds of objects, both in the space of original features and in the space of principal components
- find interrelation of features through projections onto phase planes of principal components
- study cyclical (quasi‐cyclical) manifestations of processes represented by time series
This is an application that can also be fetched from https://sourceforge.net/projects/jacobi-static/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
