augmatrix {ConsRankClass} | R Documentation |
Kemeny-equivalent augmented dissimilarity matrix
Description
Kemeny-equivalent augmented dissimilarity matrix
Usage
augmatrix(X)
Arguments
X |
A n by m data matrix, in which there are n judges and m objects to be judged. Each row is a ranking of the objects which are represented by the columns. |
Details
First the matrix is transformed with the tau_X rank correlation coeficient, then it is normalized. The output contains:
Delta | the augmented dissimilarity matrix | ||
Interaction | the submatrix containnig the interactions individuals-items | ||
Objects | the submatrix containing the within-items proximities | ||
Indiv | the submatrix containing the within-individuals proximities | ||
beta | the beta parameter | ||
alpha | the alpha parameter | ||
csi | the csi parameter | ||
res | the resume of th eaugmentation in terms of: | ||
TauX | tau_x rank correlation coefficient | ||
Kendall | kendall rank correlation coefficient | ||
Spearman | Spearman correlation coefficient |
Value
A list containing the dissimilarity matrix and othe information about the augmented matrix. See details for detailed information.
Author(s)
Antonio D'Ambrosio antdambr@unina.it
References
D'Ambrosio, A., Vera, J. F., & Heiser, W. J. (2022). Avoiding degeneracies in ordinal unfolding using Kemeny-equivalent dissimilarities for two-way two-mode preference rank data. Multivariate Behavioral Research, 57(4), 679-699.
[Package ConsRankClass version 1.0.2 Index]