View source: R/tidyMS_R6_TransitionCorrelations.R
normalize_log2_robscale | R Documentation |
normalize data by log2 and robust scaling
normalize_log2_robscale(pdata, config)
pdata |
data.frame |
config |
AnalysisConfiguration |
list with data.frame (data) and updated config (config)
Other preprocessing:
INTERNAL_FUNCTIONS_BY_FAMILY
,
apply_to_response_matrix()
,
filter_proteins_by_peptide_count()
,
get_robscales()
,
robust_scale()
,
scale_with_subset()
,
scale_with_subset_by_factors()
istar <- prolfqua_data('data_ionstar')$filtered()
istar$config <- old2new(istar$config)
istar_data <- istar$data |> dplyr::filter(protein_Id %in% sample(protein_Id, 100))
xx <- normalize_log2_robscale(istar_data, istar$config)
names(xx)
xx$config$table$workIntensity
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