highlall: Highlight highest similarities overall (highlall)
In thectar: Hermeneutic Content Analysis

Description Usage Arguments Details Value See Also Examples

View source: R/Graphs.R

highlall draws the highest similarities (overall) into an MDS graph.

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highlall(similarity, results, quantile = 30, col = "black",
  coordinates = FALSE, add = FALSE, xlim = NULL, cex.labels = 0.8,
  main = NULL)

`similarity`	Similarity matrix.
`results`	Results of `smacofSym` or a set of coordinates.
`quantile`	Percentage of the highest similarities that should be drawn. Default is `30`.
`col`	Color of 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.

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 quantile percent of highest similarities, as indicated by the similarity matrix similarity, to the plot of the respective map. The objects must occur in the same order in the results/ coodinates and the similarity matrix.

Nothing.

smacofSym.

## Calculating an MDS using the package 'smacof' and showing the 25% 
## highest similarities
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")
highlall(similarities, res, quantile = 25, main = "25% Highest Similarities")