ms_bench_add_scores: adds FDR, TPR and FDP to data.

In wolski/prolfqua: Proteomics Label Free Quantification

adds FDR, TPR and FDP to data.

Description

adds FDR, TPR and FDP to data.

Usage

ms_bench_add_scores(
  data,
  TP_col = "TP",
  arrangeby = "diff",
  desc = TRUE,
  subject_Id = "protein_Id"
)

Arguments

data	a dataframe with TP_col indicating if the row is a true positive hit
TP_col	column name of TP (TRUE, FALSE)
arrangeby	- by which column to sort.
desc	descending or ascending.

Value

data.frame with the following columns added FDP - false discovery proportion (Q in Benjamini Hochberg table) FPR - false positive rate TPR - true positive rate TP_hits - true positives

See Also

Other benchmarking: Benchmark, INTERNAL_FUNCTIONS_BY_FAMILY, ionstar_bench_preprocess(), make_benchmark(), ms_bench_auc()

Examples

dd <- prolfqua_data('data_test_confusion_matrix_scores')
xd <- ms_bench_add_scores(dd, arrangeby = "estimate")
plot(xd$TPR,xd$PREC, type="l")
plot(1- xd$PREC, xd$FDP)

wolski/prolfqua documentation built on May 12, 2024, 10:16 p.m.