R/tidyMS_R6_TransitionCorrelations.R
nr_obs_sample.Rd
Aggregates e.g. protein abundances from peptide abundances
nr_obs_sample(data, config, new_child = config$table$nr_children)
dd <- prolfqua::sim_lfq_data_peptide_config()
#> creating sampleName from fileName column
#> completing cases
#> completing cases done
#> setup done
dd$data <- na.omit(dd$data)
xd <- nr_obs_sample(dd$data, dd$config)
xd$nr_children |> table()
#>
#> 1 2 3 4 5 6 7
#> 52 24 11 7 5 5 12
# xd |> pivot_wider(id_cols = protein_Id, names_from = sample, values_from = nr_children)
dp <- prolfqua::sim_lfq_data_protein_config()
#> creating sampleName from fileName column
#> completing cases
#> completing cases done
#> setup done
xp <- nr_obs_sample(dp$data, dp$config)
# xp
# xp |> pivot_wider(id_cols = protein_Id, names_from = sample, values_from = nr_peptides)
xp$nr_peptides |> table()
#>
#> 1 2 3 4 6 7
#> 37 22 11 11 11 12