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MdsSort returns the results of the multidimensional scaling of a list of dissimilarities. The Mds is based on smacof algorithm and may be metric or not metric.
● Data Source:
CranContrib
● Keywords:
● Alias: MdsSort
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MdsDimChoice() returns a table of stress values of Multidimensionnal scaling for different dimensions. The different dimensions to test are given as an argument of the function.
● Data Source:
CranContrib
● Keywords:
● Alias: MdsDimChoice
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Returns the number of groups given by the subjects of a free sorting experiment.
● Data Source:
CranContrib
● Keywords:
● Alias: nGroups
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Returns an object of class SortingPartition from an array containing the partitions.
● Data Source:
CranContrib
● Keywords:
● Alias: SortingPartition
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Returns the consensus partition among a set of partitions
● Data Source:
CranContrib
● Keywords:
● Alias: ConsensusPartition
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A class for free sorting data
● Data Source:
CranContrib
● Keywords:
● Alias: SortingPartition-class, getPartition,SortingPartition-method, nGroups,SortingPartition-method, show,SortingPartition-method, summary,SortingPartition-method
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Creates a list of dissimilarity matrices from partitions given by the subjects.
● Data Source:
CranContrib
● Keywords:
● Alias: Dissimil
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Computes the multidimensional scaling of a matrix of dissimilarities between stimuli. Mds is based on smacof algorithm. The Mds configuration is rotated in order to get orthogonal dimensions sorted by decreasing variance.
● Data Source:
CranContrib
● Keywords:
● Alias: MdsDiss
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plotTerms() produces a plot of the terms. The rows of array MatTerms are the stimuli and the columns are the terms.
● Data Source:
CranContrib
● Keywords:
● Alias: plotTerms
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Computes the Rand Index and the Adjusted Rand Index between two partitions
● Data Source:
CranContrib
● Keywords:
● Alias: RandIndex
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providing 
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