Description Usage Arguments Details Value Examples
Create a dummy data set, with control over the creation.
1 2 | generate_dummy_data(n = 1000, countries = 4, studies = 3, samples = 50,
pos = 20)
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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 |
Creates a dummy data set, with more control over how the data set variables are created
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
1 | dat <- mipmapper:::generate_dummy_data()
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