make_benchmark | R Documentation |
make Benchmark
make_benchmark(
prpr,
contrast = "contrast",
toscale = c("p.value"),
avgInt = "avgInt",
fcestimate = "diff",
benchmark = list(list(score = "diff", desc = TRUE), list(score = "statistic", desc =
TRUE), list(score = "scaled.p.value", desc = TRUE)),
FDRvsFDP = list(list(score = "FDR", desc = FALSE)),
model_description = "protein level measurments, linear model",
model_name = "prot_med_lm",
hierarchy = c("protein_Id"),
summarizeNA = "statistic"
)
prpr |
prepared data, e.g. function |
contrast |
column with names of the contrast |
toscale |
which scores to scale using fcestimate, typically p.value |
avgInt |
column with average intensity |
fcestimate |
column with FC estimate |
benchmark |
which scores to benchmark e.g. diff, statistics |
FDRvsFDP |
which score to plot against the false discovery proportion |
model_description |
string describing the model |
model_name |
name of the model, compatible with |
hierarchy |
name of column with protein ID. |
summarizeNA |
summarizeNA |
Benchmark
Other benchmarking:
Benchmark
,
INTERNAL_FUNCTIONS_BY_FAMILY
,
ionstar_bench_preprocess()
,
ms_bench_add_scores()
,
ms_bench_auc()
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