pnova: PERMANOVA Analysis

View source: R/analysisPermanova.R

pnovaR Documentation

PERMANOVA Analysis

Description

PERMANOVA Analysis

Usage

pnova(
  dataset = NULL,
  dist = "bray",
  weighted = F,
  allFactors = T,
  factors = NULL,
  alpha = 0.05
)

Arguments

dataset

MicroVis dataset. Defaults to active dataset

dist

Method for dissimilarity calculation. One of either "bray", "euclidean", "jaccard", "unifrac", "manhattan", "canberra", "clark", "kulczynski", "gower", "altGower", "morisita", "horn", "mountford", "raup", "binomial", "chao", "cao", "mahalanobis", "chisq" or "chord"

weighted

(Optional) If method is set to "unifrac", whether to perform weighted or unweighted unifrac. Defaults to FALSE

allFactors

Perform PERMANOVA analysis on all factors? Defaults to TRUE if no factors are specified (below)

factors

(Optional) Specify factors to perform PERMANOVA on. If none are specified, then all factors will be included

alpha

Significance threshold for PERMANOVA results before performing PERMDISP analysis. Defaults to 0.05

Value

PERMANOVA and PERMDISP results


microresearcher/MicroVis documentation built on Feb. 8, 2024, 10:59 a.m.