make_database: Make Database

In danagibbon/MultifacitedChoice:

Description

This function takes three inputs of CSV files and transforms them into a RSQLite database. The three inputs are:

1. gtseq: Output of the GTseq pipeline
   

2. metadata: Metadata about the samples
   

3. allele_info: Information of the loci being used
   

Usage

make_database(gtseq, metadata, allele_info, verbose = TRUE)

Arguments

gtseq	Comma separated file that is the output of the GT-seq pipeline. Sample IDs must match the Sample IDs in the metadata CSV file. The Allele IDs from the column names must match the site_id found in the allele_info CSV file.
metadata	Comma separated file that includes two columns: Sample and Sex. The Sample IDs must match the Sample IDs from the gtseq CSV file. Other metadata columns may be present.
allele_info	Comma separated file with information about the loci of interest. The site_id must match the Allele IDs from the GT-seq output. the advantage column is required if the type all_alleles is specified.
verbose	show messages, logical - default = TRUE

Value

An RSQLite database saved to memory

Examples

## Not run: 
DBs <- make_database(gtseq = geno, metadata = meta_data,
                     allele_info = allele_info)

## End(Not run)

danagibbon/MultifacitedChoice documentation built on Dec. 31, 2020, 11:10 p.m.