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dynBiplotGUI (version 1.1.0)

dynBiplot: Dynamic Biplot

Description

Full graphical interface to solve Dynamic Biplot, classic Biplot and HJ-Biplot.

Usage

dynBiplot(lang = "es")

Arguments

Rdversion

1.1.0

Interpreting the HJ-Biplot graphic

The HJ-Biplot method is based on simple geometric concepts. Below those basic interpretational rules are presented: (i) the distances among row markers are interpreted as an inverse function of similarities, in such a way that closer markers (objects) are more similar; (ii) the lengths of the column markers (vectors) approximate the standard deviation of the variables; (iii) the cosines of the angles among the column vectors approximate the correlations among variables in such a way that small acute angles are associated with variables with high positive correlations; obtuse angles near to the straight angle are associated with variables with high negative correlations and right angles are associated with non-correlated variables. In the same way, the cosines of the angles among the variable markers and the axes (Principal Components) approximate the correlations between them; (iv) the order of the orthogonal projections of the row markers (points) onto a column marker (vector) approximates the order of the row elements (values) in that column.

Details

The program guides the user through four phases: 1- Load data (mandatory). From txt files, objects R, clipboard or Excel. Try matrices of 2-way and 3-way. 2- Data format (optional). 3- Selection of variables and individuals for biplot graphics. 4- Selecting Options for the chart. If 3-way data, options for trajectories.

References

Gabriel, K. R. (1971) The biplot graphical display of matrices with application to principal component analysis. Biometrika 58, 453-467. Galindo, M. P. (1986) Una alternativa de representacion simultanea: HJ-Biplot. Questiio, 10(1):13-23, 1986. Egido, J; Galindo, M. P. (2013) Dynamic Biplot. Pending publication.

Examples

Run this code
dynBiplot("en")

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