Simulate data, protein and peptide, with config — sim_lfq_data_peptide_config • prolfqua

Simulate data, protein and peptide, with config

Usage

sim_lfq_data_peptide_config(
  Nprot = 10,
  with_missing = TRUE,
  weight_missing = 0.2,
  seed = 1234,
  N = 4
)

Arguments

Nprot: number of proteins to simulate
with_missing: add missing values, default TRUE
weight_missing: controls proportion of missing values; greater weight means more missingness
seed: seed for reproducibility, if NULL no seed is set.
N: number of replicates per group

Examples


x <- sim_lfq_data_peptide_config()
#> creating sampleName from fileName column
#> completing cases
#> completing cases done
#> setup done
stopifnot("data.frame" %in% class(x$data))
stopifnot("AnalysisConfiguration" %in% class(x$config))