generate_dummy_data: Generate Dummy Data

In mrc-ide/mipmapper: Filtering and analysis of MIP panel genetic datasets

Description

Create a dummy data set, with control over the creation.

Usage

generate_dummy_data(n = 1000, countries = 4, studies = 3, samples = 50,
  pos = 20)

Arguments

n	Number of rows. Default = 1000
countries	Number of different countries. Default = 4
studies	Number of different studies. Default = 3
samples	Number of different samples. Default = 50
pos	Number of different chromosome positions. Default = 20

Details

Creates a dummy data set, with more control over how the data set variables are created

Value

Invisibly returns a MIP dataset with the following variables:

• "Year" Numerics of sample year collect

• "Country" String of country of sample collection

• "Study" String of study name

• "DHS_Cluster" Numeric of DHS cluster

• "Lat" Numeric for latitude

• "Long" Numeric for longitude

• "Sample_ID" String for unique sample ID

• "Chrom" Numeric for chromosome number

• "Pos" Numeric for chromosome position

• "Ref" Reference allele nucleotide

• "Alt" Alternative allele nucleotide

• "Coverage" Numeric for read coverage

• "Barcode_Count" Numeric for count of barcodes matched to Ref

Examples

dat <- mipmapper:::generate_dummy_data()

mrc-ide/mipmapper documentation built on May 20, 2019, 3:27 p.m.