dacomp.generate_example_dataset_multivariate_example: Generate an example dataset with a multivariate phenotype

Description Usage Arguments Value References Examples

View source: R/dacomp_generate_example_data.R

Description

Generate a simulated dataset, similar to dacomp.generate_example_dataset_continuous with the following difference: the generated dataset contains two phenotypes, instead of one. The change observed in a sample, is monotone increasing with the values of each measured covariate.

Usage

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dacomp.generate_example_dataset_multivariate_example(
  n,
  m1 = 30,
  signal_strength_as_change_in_microbial_load = 0.1
)

Arguments

n

Number of samples.

m1

Number of differentially abundant taxa

signal_strength_as_change_in_microbial_load

Value

a list

References

Brill, Barak, Amnon Amir, and Ruth Heller. 2019. Testing for Differential Abundance in Compositional Counts Data, with Application to Microbiome Studies. arXiv Preprint arXiv:1904.08937.

Kostic, Aleksandar D, Dirk Gevers, Chandra Sekhar Pedamallu, Monia Michaud, Fujiko Duke, Ashlee M Earl, Akinyemi I Ojesina, et al. 2012. Genomic Analysis Identifies Association of Fusobacterium with Colorectal Carcinoma. Genome Research 22 (2). Cold Spring Harbor Lab: 292–98.

McMurdie, Paul J, and Susan Holmes. 2013. Phyloseq: An R Package for Reproducible Interactive Analysis and Graphics of Microbiome Census Data. PloS One 8 (4). Public Library of Science: e61217.

Examples

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barakbri/dacomp documentation built on June 17, 2021, 11:20 p.m.