mp_dmngroup-methods: Dirichlet-Multinomial generative classifiers to MPSE or...

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

Dirichlet-Multinomial generative classifiers to MPSE or tbl_mpse

Description

Dirichlet-Multinomial generative classifiers to MPSE or tbl_mpse

Usage

mp_dmngroup(.data, .abundance, .group, k = 1, action = "get", ...)

## S4 method for signature 'MPSE'
mp_dmngroup(.data, .abundance, .group, k = 1, action = "get", ...)

## S4 method for signature 'tbl_mpse'
mp_dmngroup(.data, .abundance, .group, k = 1, action = "get", ...)

## S4 method for signature 'grouped_df_mpse'
mp_dmngroup(.data, .abundance, .group, k = 1, action = "get", ...)

Arguments

.data	MPSE or tbl_mpse object
.abundance	The column name of OTU abundance column to be calculate.
.group	the column name of group variable.
k	the number of Dirichlet components to fit, default is 1.
action	character it has three options, 'get' return a 'list' contained DMN (default), "add" joins the new information to the input (can be extracted with mp_extract_internal_attr(name='DMNGroup')), "only" return a non-redundant tibble with the just new information a column contained 'DMNGroup'.
...	additional parameters, see also the mclapply and dmngroup.

Value

update object or others (refer to action argument)

Examples

## Not run: 
data(mouse.time.mpse)
mouse.time.mpse %>% 
  mp_dmngroup(
    .abundance = Abundance,
    .group = time,
    k=seq_len(2),
    action = 'get'
  )

## End(Not run)

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