distmat_ord_table: Run ordinations on a distance matrix.

In rbiom: Read/Write, Analyze, and Visualize 'BIOM' Data

Run ordinations on a distance matrix.

Description

Run ordinations on a distance matrix.

Usage

distmat_ord_table(dm, ord = "PCoA", k = 2L, ...)

Arguments

dm	A dist-class distance matrix, as returned from bdiv_distmat() or stats::dist(). Required.
ord	Method for reducing dimensionality. Options are: "PCoA" - Principal coordinate analysis; ape::pcoa(). "UMAP" - Uniform manifold approximation and projection; uwot::umap(). "NMDS" - Nonmetric multidimensional scaling; vegan::metaMDS(). "tSNE" - t-distributed stochastic neighbor embedding; tsne::tsne(). Multiple/abbreviated values allowed. Default: "PCoA"
k	Number of ordination dimensions to return. Either 2L or 3L. Default: 2L
...	Additional arguments for ord.

Value

A data.frame with columns .sample, .ord, .x, .y, and (optionally) .z.

See Also

Other ordination: bdiv_ord_plot(), bdiv_ord_table()

Examples

    library(rbiom) 
    
    dm  <- bdiv_distmat(hmp50, "bray")
    ord <- distmat_ord_table(dm, "PCoA")
    head(ord)
    

rbiom documentation built on April 3, 2025, 6:39 p.m.