View source: R/tidyMS_R6_TransitionCorrelations.R
nr_B_in_A | R Documentation |
Compute nr of B per A
nr_B_in_A(pdata, config, merge = TRUE)
pdata |
data.frame |
config |
AnalysisConfiguration |
bb <- prolfqua::prolfqua_data('data_ionstar')$filtered()
bb$config <- old2new(bb$config)
stopifnot(nrow(bb$data) == 25780)
config <- bb$config$clone(deep=TRUE)
data <- bb$data |> dplyr::select(-all_of("nr_peptide_Id_IN_protein_Id"))
hierarchy <- config$table$hierarchy_keys()
res <- nr_B_in_A(data, config)
res$data |>
dplyr::select_at(c(config$table$hierarchy_keys_depth(), res$name)) |>
dplyr::distinct() |>
dplyr::pull() |> table()
bb <- prolfqua::prolfqua_data('data_skylineSRM_HL_A')
config <- old2new(bb$config_f())
data <- bb$data
data$Area[data$Area == 0] <- NA
analysis <- setup_analysis(data, config)
resDataStart <- bb$analysis(bb$data, config)
nr_B_in_A(resDataStart, config)
nr_B_in_A(resDataStart, config, merge = FALSE)
config$table$hierarchyDepth <- 2
nr_B_in_A(resDataStart, config, merge = FALSE)
bb <- prolfqua::prolfqua_data('data_IonstarProtein_subsetNorm')
bb$config <- old2new(bb$config$clone(deep=TRUE))
nr_B_in_A(bb$data, bb$config)
#undebug(nr_B_in_A)
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