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#if a subject is missing from one of the groups, we need to impute the missing percentage with a zero.
#I can't figure out a way to pass a "TreatmentGroup by Subjects" table succinctly to dplyr::complete, but it will be really obvious at this stage, so we can impute.
if (length(groupOneProportions) != length(groupTwoProportions)) {
If a cluster only has one subject, then it probably only has one group and this check fails.
The text was updated successfully, but these errors were encountered:
When a cluster is 100% comprised of a single individual, CalculateClusterEnrichment fails in an unexpected way.
It is probably here:
CellMembrane/R/Analysis.R
Lines 384 to 390 in 85ff116
If a cluster only has one subject, then it probably only has one group and this check fails.
The text was updated successfully, but these errors were encountered: