calculate_precision_recall_for_n_cigar_read_count_intervarls: For each N-cigar-read-count interval, calculate accuracy...

In vladimirsouza/lrRNAseqBenchmark: Figure out how to call varaints from Iso-Seq data

For each N-cigar-read-count interval, calculate accuracy measures for multiple master tables

Description

Create a data.frame with accuracy measures for multiple master tables and different intervals for N-cigar-read counts.

Usage

calculate_precision_recall_for_n_cigar_read_count_intervarls(
  ...,
  experiment_names,
  method_names,
  output_method_names = NULL,
  data_names,
  truth_names,
  start_n_cigar_read_percent_intervals = c(0, 0.05, 0.9),
  end_n_cigar_read_percent_intervals = c(0.05, 0.9, 1),
  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.
start_n_cigar_read_percent_intervals	vector of doubles. The start of each interval of N-cigar-read counts.
end_n_cigar_read_percent_intervals	vector of doubles. The end of each interval of N-cigar-read counts.
what	Vector or list of strings.

Value

A data.frame.

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