mp_cal_clust-methods: Hierarchical cluster analysis for the samples with MPSE or...

In xiangpin/MicrobitaProcess: A comprehensive R package for managing and analyzing microbiome and other ecological data within the tidy framework

Hierarchical cluster analysis for the samples with MPSE or tbl_mpse object

Description

Hierarchical cluster analysis for the samples with MPSE or tbl_mpse object

Usage

mp_cal_clust(
  .data,
  .abundance,
  distmethod = "bray",
  hclustmethod = "average",
  action = "get",
  ...
)

## S4 method for signature 'MPSE'
mp_cal_clust(
  .data,
  .abundance,
  distmethod = "bray",
  hclustmethod = "average",
  action = "get",
  ...
)

## S4 method for signature 'tbl_mpse'
mp_cal_clust(
  .data,
  .abundance,
  distmethod = "bray",
  hclustmethod = "average",
  action = "get",
  ...
)

## S4 method for signature 'grouped_df_mpse'
mp_cal_clust(
  .data,
  .abundance,
  distmethod = "bray",
  hclustmethod = "average",
  action = "get",
  ...
)

Arguments

.data	the MPSE or tbl_mpse object
.abundance	the name of abundance to be calculated.
distmethod	the method of distance.
hclustmethod	the method of hierarchical cluster
action	a character "add" will return a MPSE object with the cluster result as a attributes, and it can be extracted with 'object "only" or "get" will return 'treedata' object, default is 'get'.
...	additional parameters

Value

update object with the action argument, the treedata object contained hierarchical cluster analysis of sample, it can be visualized with 'ggtree' directly.

Author(s)

Shuangbin Xu

Examples

library(ggtree)
library(ggplot2)
data(mouse.time.mpse)
res <- mouse.time.mpse %>%
 mp_decostand(.abundance=Abundance) %>% 
 mp_cal_clust(.abundance=hellinger, distmethod="bray")
res
res %>%
 ggtree() + 
 geom_tippoint(aes(color=time))

xiangpin/MicrobitaProcess documentation built on April 12, 2024, 9:03 p.m.