Simulate data, protein, with config

Simulate data, protein, with config

Usage

sim_lfq_data_protein_config(
  Nprot = 10,
  with_missing = TRUE,
  weight_missing = 0.2,
  seed = 1234,
  paired = FALSE
)

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.

paired

if TRUE, add a paired subject factor to the design

Examples

x <- sim_lfq_data_protein_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))
x <- sim_lfq_data_protein_config(with_missing = FALSE)
#> creating sampleName from fileName column
#> completing cases
#> completing cases done
#> setup done

stopifnot(sum(is.na(x$data$abundance)) == 0)
xp <- sim_lfq_data_protein_config(with_missing = FALSE, paired = TRUE)
#> creating sampleName from fileName column
#> completing cases
#> completing cases done
#> setup done
stopifnot(length(xp$config$factors) == 2)
stopifnot(nrow(xp$data) == nrow(x$data))