R/tidyMS_R6_ConcreteConfigurations.R
concrete_AnalysisConfiguration.Rd
configurations examples of or various signal processing software outputs
file must be read with tidyMQ_Peptides, you will still need to add the factors (explanatory variables).
create_config_Skyline(
isotopeLabel = "Isotope.Label",
ident_qValue = "annotation_QValue"
)
create_config_Spectronaut_Peptide(
isotopeLabel = "Isotope.Label",
ident_qValue = "EG.Qvalue"
)
create_config_MQ_peptide(
ident_qValue = "pep",
intensity = "peptide.intensity",
isotopeLabel = "isotope"
)
create_config_MSFragger_MSstats()
isotope
pep
peptide.intensity
Other configuration:
AnalysisConfiguration
,
AnalysisParameters
,
AnalysisTableAnnotation
,
INTERNAL_FUNCTIONS_BY_FAMILY
,
R6_extract_values()
,
complete_cases()
,
make_interaction_column()
,
make_reduced_hierarchy_config()
,
sample_subset()
,
separate_factors()
,
separate_hierarchy()
,
setup_analysis()
,
spread_response_by_IsotopeLabel()
,
table_factors()
skylineconfig <- create_config_Skyline()
skylineconfig$table$factors[["Time"]] = "Sampling.Time.Point"
skylineconfig$table$factor_keys()
#> [1] "Time"
skylineconfig$table$hierarchy_keys()
#> [1] "protein_Id" "peptide_Id" "precursor_Id" "fragment_Id"
spectronautconfig <- create_config_Spectronaut_Peptide()
config <- create_config_Spectronaut_Peptide()
config$table$factors[["coding"]] = "coding"
config$table$factors[["sex"]] = "sex"
config$table$factors[["age"]] = "age"
config$table$factors[["Sample_id"]] = "Sample.Name"
tmp <- create_config_MQ_peptide()
create_config_MSFragger_MSstats()
#> <AnalysisConfiguration>
#> Public:
#> clone: function (deep = FALSE)
#> initialize: function (analysisTableAnnotation, analysisParameter = AnalysisParameters$new())
#> parameter: AnalysisParameters, R6
#> sep: ~
#> table: AnalysisTableAnnotation, R6