sim_lfq_data_2Factor_config: Simulate data, protein, with config with 2 factros Treatment...

In wolski/prolfqua: Proteomics Label Free Quantification

Simulate data, protein, with config with 2 factros Treatment and Background

Description

Simulate data, protein, with config with 2 factros Treatment and Background

Usage

sim_lfq_data_2Factor_config(
  Nprot = 10,
  with_missing = TRUE,
  weight_missing = 0.2,
  PEPTIDE = FALSE,
  seed = 1234,
  TWO = TRUE
)

Arguments

with_missing	add missing values, default TRUE
seed	seed for reproducibility, if NULL no seed is set.
TWO	use two factors for modellin
description	Nprot number of proteins

Examples

x <- sim_lfq_data_2Factor_config(PEPTIDE= FALSE)
dim(x$data)
stopifnot("data.frame" %in% class(x$data))
stopifnot("AnalysisConfiguration" %in% class(x$config))
x <- sim_lfq_data_2Factor_config(PEPTIDE = TRUE)

head(x$data)
x <- sim_lfq_data_2Factor_config(PEPTIDE = TRUE, TWO = TRUE)
x$data$Group |> table()

wolski/prolfqua documentation built on Oct. 31, 2024, 9:22 a.m.