Rdocumentation
powered by
Learn R Programming
⚠️
There's a newer version (0.8-20) of this package.
Take me there.
amap (version 0.8-6)
Another Multidimensional Analysis Package
Description
Tools for Clustering and Principal Component Analysis (With robusts methods, and parallelized functions).
Copy Link
Link to current version
Version
Version
0.8-20
0.8-19.1
0.8-19
0.8-18
0.8-17
0.8-16
0.8-14
0.8-12
0.8-11
0.8-7
0.8-6
0.8-5
0.8-4
0.8-3
0.8-2
0.8-1
0.7-3
0.7-1
0.6
0.5-1
0.4-4
0.4-3
0.4-2
0.4-1
0.3
0.2-9
0.2-8
0.2-7
0.2-6
0.2-5
0.2-2
0.2-1
0.1
Install
install.packages('amap')
Monthly Downloads
8,728
Version
0.8-6
License
GPL
Maintainer
Antoine Lucas
Last Published
November 7th, 2011
Functions in amap (0.8-6)
Search all functions
lubisch
Dataset Lubischew
afc
Correspondance factorial analysis.
acp
Principal component analysis
Dist
Distance Matrix Computation
acprob
Robust principal component analysis
acpgen
Generalised principal component analysis
burt
Compute burt table from a factor dataframe.
pop
Optimal Partition (classification).
VarRob
Robust variance
Kmeans
K-Means Clustering
hcluster
Hierarchical Clustering
diss
Compute a dissimilarity matrix
plot.acp
Graphics for Principal component Analysis