feature_table_pre_process: feature_table_pre_process

In rusher321/rmeta: the function for my daily work

feature_table_pre_process

Description

This function is from ANCOM

Usage

feature_table_pre_process(
  feature_table,
  meta_data,
  sample_var,
  group_var = NULL,
  out_cut = 0.05,
  zero_cut = 0.9,
  lib_cut,
  neg_lb,
  count = F
)

Arguments

feature_table	,feature table should be a matrix/data.frame with each feature in rows and sample in columns.
meta_data,	Metadata should be a matrix/data.frame containing the sample identifier.
sample_var,	sample ID name
group_var,	the group to compare
out_cut,	alpha
zero_cut,	occurrance rate
lib_cut,	library size
neg_lb,	logistic
count,	logistic

rusher321/rmeta documentation built on April 1, 2022, 10:48 p.m.