Description Usage Arguments Examples
Bootstrap observations (e.g., cells) at each level of the grouping variable (e.g., individual) to compute confidence interval for a statistic that has only 1 measurement per individual. This function was developed for Tung et al. (2006) in comparing adjusted coefficients of variation computed from three subsets of cells, each of which is quantified for a LCL.
1 2 | bootstrap_cells(log2counts, grouping_vector, number_bootstrap,
size_bootstrap = NULL)
|
log2counts |
log2counts matrix of gene by cells |
grouping_vector |
the grouping vector corresponds to variable of interest |
num_bootstrap |
number of bootstrap samples |
1 |
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