Description Usage Arguments Examples
View source: R/posterior_analyses.R
Plot first several principle coordinates of ordination
1 2 3 4 5 6 7 8 | plot_ordination(
tax_level = "ASV",
which_measure = "Sigma",
annotation = "host",
MAP = FALSE,
spike_in = FALSE,
show_plot = FALSE
)
|
tax_level |
taxonomic level at which to agglomerate data |
which_measure |
estimated object to visualize, either Lambda or Sigma |
annotation |
label to assign (e.g. individual) |
MAP |
use MAP estimate model output instead of full posterior output |
spike_in |
copy and permute the samples and calculate distances to these too, so as to give upper bound on distances |
show_plot |
show() plot of first 2 principle coordinates (in addition to rendering first 4 PCoA to files) |
1 | plot_ordination(tax_level="ASV", which_measure="Sigma", annotation="host", MAP=FALSE)
|
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