PlotBest.mdist {shipunov} | R Documentation |
Dotchart which reflects the "best" of non-base distances
Description
Plots dotchart which shows correspondences between data and various non-base distances
Usage
PlotBest.mdist(data, distances=c("manhattan", "euclidean", "canberra",
"clark", "bray", "kulczynski", "jaccard", "gower", "altGower",
"morisita", "horn", "binomial", "chao", "cao", "mahalanobis",
"cor.pearson", "cor.spearman", "cor.kendall", "gower_dist",
"simple_match_dist", "daisy.gower", "smirnov"),
binary.only=FALSE)
Arguments
data |
Data frame with values |
distances |
Distances to use |
binary.only |
Use binary only distances? |
Details
Shows the "best" distance method using many non-base distances from several packages (namely, "cluster", "smirnov" and "vegan" – but does not include "mountford" and "raup" as they are very special). Please note that this is a mere visualization, and numbers are used only to understand the relative correspondence between raw data and distances.
Uses maximal correlations between multidimensional scaling of distance object (converted internally to Euclidean) and PCA of data. Both MDS and PCA use two dimensions.
Author(s)
Alexey Shipunov
See Also
Examples
PlotBest.mdist(iris[, -5])
m1 <- t((moldino > 0) * 1)
PlotBest.mdist(m1, binary.only=TRUE)
[Package shipunov version 1.17.1 Index]