down_sample2: Downsamples the data to reduce computation
In scristia/CNPBayes: Bayesian mixture models for copy number polymorphisms

Description Usage Arguments Details Value See Also

Downsampling observations within each batch.

1	down_sample2(dat, min_size = 300)

`dat`	a 'tibble' containing the one-dimensional summaries for each sample and the batch labels
`min_size`	integer indicating the number of samples to randomly select for each batch. The actual number of samples included may be larger as samples flagged as likely deleted are not down-sampled.

Downsampling is performed to reduce computation as typically 100-300 observations is sufficient to approximate the multi-modal deletions/duplications of germline copy number events. Data points that have been marked as 'likely_deletion' are not down-sampled as these tend to be rare and are an important indication of the type of polymorphism.

a down-sampled tibble

upsample2

scristia/CNPBayes documentation built on Aug. 9, 2020, 7:31 p.m.