conc_wrc: Optimality Criterion: Weighted Row-Column Concentration
In lakhesis: Consensus Seriation for Binary Data
conc_wrc R Documentation
Optimality Criterion: Weighted Row-Column Concentration
Description
Extends the Kendall-Doran (column) measure of concentration (see conc_c) to include rows and then weights the total measure by the total sum of values in the matrix.
Usage
conc_wrc(obj)
## S3 method for class 'matrix'
conc_wrc(obj)
## S3 method for class 'incidence_matrix'
conc_wrc(obj)
Arguments
obj
A seriated binary matrix.
Value
The weighted row-column coefficient of concentration.
Examples
data("quattrofontanili")
conc_wrc(quattrofontanili)
lakhesis documentation built on April 25, 2026, 5:06 p.m.
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| conc_wrc | R Documentation |
Optimality Criterion: Weighted Row-Column Concentration
Description
Extends the Kendall-Doran (column) measure of concentration (see conc_c) to include rows and then weights the total measure by the total sum of values in the matrix.
Usage
conc_wrc(obj)
## S3 method for class 'matrix'
conc_wrc(obj)
## S3 method for class 'incidence_matrix'
conc_wrc(obj)
Arguments
obj |
A seriated binary matrix. |
Value
The weighted row-column coefficient of concentration.
Examples
data("quattrofontanili")
conc_wrc(quattrofontanili)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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