find_missing_samples: Determine which samples did not pass filtering criteria

In eriqande/microhaplotopia: Tools for Working with Microhaplot Data a la the SWFSC

Description

Some samples may have failed completely and they will not be present in the long_genos dataframe produced by filter_raw_microhap_data(). This function is written to identify samples that were present in the raw data, but did not have any loci that passed the filtering criteria. If a sample failed completely and did not have any reads assigned to it, that sample will not be identified by this function.

Usage

find_missing_samples(raw_data, filtered_data)

Arguments

raw_data	The raw data from a single, or multiple sequencing runs. This could be the output from read_unfiltered_observed()
filtered_data	dataframe of filtered haplotypes. This is the output from the "filter_raw_microhap_data" function.

eriqande/microhaplotopia documentation built on July 7, 2020, 1:16 a.m.