resamplePerplexity {celda} | R Documentation |
Calculates the perplexity of each model's cluster assignments given the provided countMatrix, as well as resamplings of that count matrix, providing a distribution of perplexities and a better sense of the quality of a given K/L choice.
resamplePerplexity(x, ...) ## S4 method for signature 'SingleCellExperiment' resamplePerplexity( x, useAssay = "counts", altExpName = "featureSubset", resample = 5, seed = 12345 ) ## S4 method for signature 'matrix' resamplePerplexity(x, celdaList, resample = 5, seed = 12345)
x |
A numeric matrix of counts or a
SingleCellExperiment returned from celdaGridSearch
with the matrix located in the assay slot under |
... |
Ignored. Placeholder to prevent check warning. |
useAssay |
A string specifying which assay
slot to use if |
altExpName |
The name for the altExp slot to use. Default "featureSubset". |
resample |
Integer. The number of times to resample the counts matrix for evaluating perplexity. Default 5. |
seed |
Integer. Passed to with_seed. For reproducibility, a default value of 12345 is used. If NULL, no calls to with_seed are made. |
celdaList |
Object of class 'celdaList'. Used only if |
A SingleCellExperiment object or
celdaList
object with a perplexity
property, detailing the perplexity of all K/L combinations that appeared in
the celdaList's models.
data(sceCeldaCGGridSearch) sce <- resamplePerplexity(sceCeldaCGGridSearch) plotGridSearchPerplexity(sce) data(celdaCGSim, celdaCGGridSearchRes) celdaCGGridSearchRes <- resamplePerplexity( celdaCGSim$counts, celdaCGGridSearchRes ) plotGridSearchPerplexity(celdaCGGridSearchRes)