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

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

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.

description

Nprot number of proteins

Examples

x <- sim_lfq_data_2Factor_config(PEPTIDE= FALSE)
#> creating sampleName from fileName column
#> completing cases
dim(x$data)
#> [1] 160   9
stopifnot("data.frame" %in% class(x$data))
stopifnot("AnalysisConfiguration" %in% class(x$config))
x <- sim_lfq_data_2Factor_config(PEPTIDE = TRUE)
#> creating sampleName from fileName column
#> Warning: no nr_children column specified in the data, adding column nr_children and setting to 1.
#> completing cases
head(x$data)
#> # A tibble: 6 × 10
#>   sample sampleName Treatment Background isotopeLabel protein_Id  peptide_Id
#>   <chr>  <chr>      <chr>     <chr>      <chr>        <chr>       <chr>     
#> 1 A_V1   A_V1       A         X          light        0EfVhX~0087 ITLb4x1q  
#> 2 A_V1   A_V1       A         X          light        0EfVhX~0087 ahQLlQY7  
#> 3 A_V1   A_V1       A         X          light        0EfVhX~0087 dJkdz7so  
#> 4 A_V1   A_V1       A         X          light        7cbcrd~5725 D5dQ4nKk  
#> 5 A_V1   A_V1       A         X          light        9VUkAq~4703 eIC06D7g  
#> 6 A_V1   A_V1       A         X          light        BEJI92~5282 HBkZvdhT  
#> # ℹ 3 more variables: abundance <dbl>, qValue <dbl>, nr_peptides <dbl>
x <- sim_lfq_data_2Factor_config(PEPTIDE = TRUE, TWO = FALSE)
#> creating sampleName from fileName column
#> Warning: no nr_children column specified in the data, adding column nr_children and setting to 1.
#> completing cases
x$data$Group |> table()
#> 
#> A_X A_Z B_X B_Z 
#> 112 112 112 112