calculate_precision_recall_for_coverage_ranges: Calculate accuracy measures, per read coverage ranges, for...

View source: R/utils.R

calculate_precision_recall_for_coverage_rangesR Documentation

Calculate accuracy measures, per read coverage ranges, for multiple master tables, and output number of true variant per range

Description

This is an alternative function for 'calculate_precision_recall_for_multi_master_tables2'. It differs from the latter by using ranges of read coverage, i.e., there are maximums.

Usage

calculate_precision_recall_for_coverage_ranges(
  ...,
  experiment_names,
  method_names,
  output_method_names = NULL,
  data_names,
  truth_names,
  coverage_ranges,
  what
)

Arguments

...

Master tables.

experiment_names

Vector of strings. Name of the experiments in the same order of the master tables.

method_names

Vector or list of strings. Names of the methods to compare. If all experiments compare the same methods, 'method_names' can be a single vector. Otherwise, 'method_names' must be a list, in which each element specifies the names of the methods to compare for each experiment.

output_method_names

NULL (default), or a vector or a list of strings. Names of the methods to output.

data_names

Vector or list of strings.

truth_names

Vector or list of strings.

coverage_ranges

Data.frame of two columns. The first column stores the begining of the ranges and the second the end.

what

Vector or list of strings.

Value

A data.frame.


vladimirsouza/lrRNAseqBenchmark documentation built on March 23, 2023, 7:32 a.m.