plot
(Package: amap) :
Graphics for Principal component Analysis
Graphics for Principal component Analysis
● Data Source:
CranContrib
● Keywords: multivariate
● Alias: biplot.acp, plot.acp, plot2, plotAll
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pop
(Package: amap) :
Optimal Partition (classification).
Classification: Computing an Optimal Partition from Weighted Categorical Variables or from an Array of Signed Similarities.
● Data Source:
CranContrib
● Keywords: multivariate
● Alias: pop
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acprob
(Package: amap) :
Robust principal component analysis
Robust principal component analysis
● Data Source:
CranContrib
● Keywords: multivariate
● Alias: acprob
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0 images
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afc
(Package: amap) :
Correspondance factorial analysis.
Compute an acp on a contingency table tacking into account weight of rows and columns
● Data Source:
CranContrib
● Keywords: multivariate
● Alias: afc
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VarRob
(Package: amap) :
Robust variance
Compute a robust variance
● Data Source:
CranContrib
● Keywords: multivariate
● Alias: varrob
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Perform k-means clustering on a data matrix.
● Data Source:
CranContrib
● Keywords: cluster, multivariate
● Alias: Kmeans
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diss
(Package: amap) :
Compute a dissimilarity matrix
Compute a dissimilarity matrix from a data set (containing only factors).
● Data Source:
CranContrib
● Keywords: cluster, multivariate
● Alias: diss
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burt
(Package: amap) :
Compute burt table from a factor dataframe.
matlogic returns for all variables a matrix of logical values for each levels. burt is defined as t(matlogic).matlogic
● Data Source:
CranContrib
● Keywords: multivariate
● Alias: burt, matlogic
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acpgen
(Package: amap) :
Generalised principal component analysis
Generalised principal component analysis
● Data Source:
CranContrib
● Keywords: multivariate
● Alias: K, W, acpgen
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hcluster
(Package: amap) :
Hierarchical Clustering
Hierarchical cluster analysis.
● Data Source:
CranContrib
● Keywords: cluster, multivariate
● Alias: hcluster, hclusterpar
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providing 
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