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Compute the lower boundary correlation coefficient for two interval variables.
● Data Source:
CranContrib
● Keywords: correlation, lower
● Alias: R2.L
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0 images
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Cazes, Chouakria, Diday and Schektman (1997) proposed the Centers and the Tops Methods to extend the well known principal components analysis method to a particular kind of symbolic objects characterized by multi–values variables of interval type.
● Data Source:
CranContrib
● Keywords: Interval, PCA
● Alias: sym.interval.pca
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12 images
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This function could be use to plot two symbolic variables in a X-Y plane.
● Data Source:
CranContrib
● Keywords: Plot, Symbolic
● Alias: sym.scatterplot
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5 images
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Symbolic interval principal curves limits
● Data Source:
CranContrib
● Keywords: Curve, Principal
● Alias: sym.interval.pc.limits
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0 images
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To execute Predict method to Lasso, Ridge and and Elastic Net Linear regression model to interval variables.
● Data Source:
CranContrib
● Keywords: Lasso, Regression, Ridge, Symbolic
● Alias: predictsym.glm
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3 images
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Execute Lasso, Ridge and and Elastic Net Linear regression model to interval variables.
● Data Source:
CranContrib
● Keywords: Lasso, Regression, Ridge, Symbolic
● Alias: sym.glm
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3 images
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This function could be use to plot two symbolic variables in a X-Y plane to special case of Symbolic Correspondance Analysis.
● Data Source:
CranContrib
● Keywords: CFA, Plot
● Alias: cfa.scatterplot
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1 images
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Compute the distance vector matrix
● Data Source:
CranContrib
● Keywords: Curve, Principal
● Alias: dist.vect.matrix
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0 images
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To execute the Center Method (CR) and Center and Range Method (CRM) to Linear regression
● Data Source:
CranContrib
● Keywords: Symbolic, lm
● Alias: sym.lm
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0 images
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Compute the norm of a vector
● Data Source:
CranContrib
● Keywords: Curve, Principal
● Alias: norm.vect
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0 images
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