sensitivity_by_thresholds: This function is a wrapper for 'sens_compute()' and computes...

In annaquaglieri16/samplepower: Compute sensitivity and false positive rates for a variant call set with repsect to a truth dataset.

Description

This function is a wrapper for 'sens_compute()' and computes sensitivity for varying VAF and total depth.

Usage

sensitivity_by_thresholds(variants, truth_set, indel = FALSE)

Arguments

variants	dataframe created within the 'variant_power.R' function. The columns required in this dataframe are 'Called_defaults' and 'Called_defaults' which are numeric 0/1 defining whther a variant is called. If 'indel = TRUE' also the column 'key' is required. 'key' is a unique key for a variant: 'chr:POS:SampleName:Gene:Transcript'.
truth_set	external truth set
indel	logical. TRUE is INDELs are analysed.

annaquaglieri16/samplepower documentation built on Nov. 7, 2019, 11:43 p.m.