stratified_sample: Generate a stratified subsample for a vector given a grouping

In scPOP: Metrics for Benchmarking scRNA-Seq Batch Correction

Description

Use this function to compute LISI scores of one or more labels.

Usage

stratified_sample(
  indexer,
  grouping,
  sample_proportion = 0.1,
  min_count = 0,
  seed = 424242
)

Arguments

indexer	A vector containing cell barcodes/labels to subsample
grouping	A vector containg a groups to stratify by ( same size as indexer)
sample_proportion	proportion to sample data (default: .1)
min_count	Minimum number of samples in a group to keep
seed	seed value for set.seed

Value

A subsampled vector generated from indexer

Examples

data(sceiad_subset_data)
rownames(sceiad_subset_data) <- sceiad_subset_data$Barcode
res  = stratified_sample(sceiad_subset_data$Barcode, sceiad_subset_data$cluster)
dim(sceiad_subset_data[res, ])

scPOP documentation built on Aug. 4, 2021, 5:06 p.m.