filter_longitudinal: filter_longitudinal

In coda4microbiome: Compositional Data Analysis for Microbiome Studies

filter_longitudinal

Description

Filters those individuals and taxa with enough longitudinal information

Usage

filter_longitudinal(
  x,
  taxanames = NULL,
  x_time,
  subject_id,
  metadata,
  ini_time = min(x_time),
  end_time = max(x_time),
  percent_indv = 0.7,
  min_obs = 3
)

Arguments

x	abundance matrix or data frame in long format (several rows per individual)
taxanames	names of different taxa
x_time	observation times
subject_id	subject id
metadata	matrix sample data
ini_time	initial time to be analyzed
end_time	end time to be analyzed
percent_indv	percentage of individuals with more than min_obs observations
min_obs	required minimum number of observations per individual

Value

list with filtered abundance table, taxanames and metadata

Author(s)

M. Calle - T. Susin

Examples

data(ecam_filtered, package = "coda4microbiome")   # load the data

x=x_ecam # microbiome abundance
x_time = metadata$day_of_life    # observation times
subject_id = metadata$studyid   # subject id
ini_time = 0
end_time = 360

data_filtered<-filter_longitudinal(x,taxanames,x_time, subject_id, metadata,
                                              ini_time, end_time, min_obs=4)

coda4microbiome documentation built on Sept. 11, 2024, 8 p.m.