betamatPCAvis: Beta Diversity Visualization
In escamero/mirlyn: Multiple Iterations of Rarefying for Library Normalization

betamatPCAvis

R Documentation

Beta Diversity Visualization

Description

betamatPCAvis() will produce a visualization from the prcomp object generated from betamatPCA().

Usage

betamatPCAvis(x, geom = "point", groups, reps, colours)

Arguments

`x`	The `betamatPCA()` `prcomp` object.
`geom`	The geom style to be aplied to the plot.
`groups`	A vector containing the metadata variable being explored.
`reps`	The number of replicates conducted in the initial `mirl()`.
`colours`	A vector containing colour values.

Value

A ggplot object.

Examples

library(mirlyn)
data(example)
mirlexample <- mirl(example, rep = 10)
betamatPCA_object <- betamatPCA(mirlexample)

## Not run: 
betamatPCAvis(betamatPCA_object, groups = c("A", "B", "C", "D", "E", "F"),
   reps = 10, colours = c("#000000", "#E69F00", "#0072B2", "#009E73",
     "#F0E442", "#D55E00"))

## End(Not run)

escamero/mirlyn documentation built on Aug. 6, 2023, 9:30 p.m.