list.responses.factor: List significant responses
In netresponse: Functional Network Analysis

Description Usage Arguments Value Author(s) References

List significantly associated responses for all factors and levels in the given annotation matrix

list.responses.factor(
  annotation.df,
  models,
  method = "hypergeometric",
  min.size = 2,
  qth = Inf,
  verbose = TRUE,
  data = NULL,
  rounding = NULL
)

`annotation.df`	annotation data.frame with discrete factor levels, rows named by the samples
`models`	List of models. Each model should have a sample-cluster assignment matrix qofz, or a vector of cluster indices named by the samples.
`method`	method for enrichment calculation
`min.size`	minimum sample size for a response
`qth`	q-value threshold
`verbose`	verbose
`data`	data (samples x features; or a vector in univariate case)
`rounding`	rounding digits