highlpoints: Highlight highest similarities per point (highlpoints)

Description

highlpoints draws the highest similarities (per point) into an MDS graph.

Usage

highlpoints(similarity, results, links = 3, col = "black",
  coordinates = FALSE, add = FALSE, xlim = NULL, cex.labels = 0.8,
  main = NULL)

Arguments

similarity

Similarity matrix.

results

Results of smacofSym or a set of coordinates.

links

Number of similarities that should be drawn per point. Default is 3.

col

Color of the points in the graph. Default is black.

coordinates

If TRUE, the input results consist of a set of coordinates. Default is FALSE.

add

If TRUE, the points will be added to the existing plot. Default is FALSE.

xlim

Numeric vector giving the x coordinates range.

cex.labels

Numeric value indicating font size of the labels.

main

Title of the plot.

Value

Nothing.

Details

This function is applicable to an MDS solution computed with the package 'smacof' (Mair, De Leeuw, Borg, & Groenen) or a set of coordinates. It adds the link highest similarities per point, as indicated by the similarity matrix similarity, to the plot of the respective map. The links belonging to one point are displayed in the same color. If there is more than one similarity on the last rank link, all will be shown. The objects must occur in the same order in the results/ coodinates and the similarity matrix.

Examples

Run this code

# NOT RUN {
## Calculating an MDS using the package 'smacof' and showing the 3 highest 
## similarities per point
data(SDG_coocurrence)
SDG_coocurrence <- SDG_coocurrence[,-2] # Drop second column
similarities <- simi(SDG_coocurrence, method = "as")
dissimilarities <- 1 - similarities
res <- smacof::smacofSym(dissimilarities, type = "ordinal")
highlpoints(similarities, res, links = 3, 
main = "3 Highest Similarities Per Point")
# }