View source: R/tidyMS_aggregation.R
medpolish_estimate_dfconfig | R Documentation |
Median polish estimates of e.g. protein abundances for entire data.frame
medpolish_estimate_dfconfig(pdata, config, name = FALSE)
pdata |
data.frame |
config |
AnalysisConfiguration |
medpolish_estimate_df
Other aggregation:
INTERNAL_FUNCTIONS_BY_FAMILY
,
aggregate_intensity_topN()
,
estimate_intensity()
,
intensity_summary_by_hkeys()
,
medpolish_estimate()
,
medpolish_estimate_df()
,
medpolish_protein_estimates()
,
plot_estimate()
,
plot_hierarchies_add_quantline()
,
plot_hierarchies_line()
,
plot_hierarchies_line_df()
,
rlm_estimate()
,
rlm_estimate_dfconfig()
bb <- prolfqua_data('data_ionstar')$filtered()
bb$config <- old2new(bb$config)
stopifnot(nrow(bb$data) == 25780)
conf <- bb$config
data <- bb$data
conf$table$hierarchyDepth = 1
xnested <- data |>
dplyr::group_by_at(conf$table$hierarchy_keys_depth()) |> tidyr::nest()
feature <- base::setdiff(conf$table$hierarchy_keys(), conf$table$hierarchy_keys_depth())
x <- xnested$data[[1]]
bb <- medpolish_estimate_dfconfig(x,conf)
prolfqua:::.reestablish_condition(x,bb, conf)
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