scale_with_subset_by_factors: Scale using a subset of the data, within factor levels (e.g....

In wolski/prolfqua: Proteomics Label Free Quantification

Scale using a subset of the data, within factor levels (e.g. use for pulldown data)

Description

This method reduces the variance within the group.

Usage

scale_with_subset_by_factors(data, subset, config, preserveMean = FALSE)

Arguments

data	tibble with data
subset	tibble with subset of the data which will be used to derive scaling parameters
config	configuration
preserveMean	default FALSE then set mean to 0

See Also

Other preprocessing: INTERNAL_FUNCTIONS_BY_FAMILY, apply_to_response_matrix(), filter_proteins_by_peptide_count(), get_robscales(), normalize_log2_robscale(), robust_scale(), scale_with_subset()

Examples

bb <- sim_lfq_data_peptide_config(Nprot = 100)
conf <- bb$config$clone(deep=TRUE)
sample_analysis <- bb$data

res <- transform_work_intensity(sample_analysis, conf, log2)
res <- scale_with_subset_by_factors(res, res, conf)

wolski/prolfqua documentation built on Dec. 4, 2024, 11:18 p.m.