MDSplot {CluMSID} | R Documentation

## Multidimensional scaling of spectral similarity data

### Description

`MDSplot()` is used to generate multidimensional scaling plots from spectral similarity data. An interactive visualisation can be produced using plotly.

### Usage

    MDSplot(distmat, interactive = FALSE, highlight_annotated = FALSE, ...)

### Arguments

`distmat` | A distance matrix as generated by `distanceMatrix`.
`interactive` | Logical, defaults to `FALSE`. If `TRUE`, an interactive visualisation is generated using plotly.
`highlight_annotated` | Logical, defaults to `FALSE`. If `TRUE`, points for features for which an annotation was added before using `distanceMatrix` are highlighted by red colour, while other points are grey in the MDS plot.
`...` | Additional arguments passed to `geom_point()`, e.g. `pch`, `size` or `alpha`.

### Value

An MDS plot generated with the help of `cmdscale`, `ggplot` and, if interactive, `ggplotly`.

### Examples

    load(file = system.file("extdata",
        "distmat.RData",
        package = "CluMSIDdata"))

    MDSplot(distmat, highlight_annotated = TRUE)

[Package CluMSID version 1.2.1 Index]