factor.responses.minimal {netresponse} | R Documentation

## Factor responses (minimal)

### Description

List responses for each level of the given factor

### Usage

    factor.responses.minimal(
      annotation.vector,
      groupings,
      method = "hypergeometric",
      min.size = 2,
      data = NULL
    )

### Arguments

`annotation.vector` | annotation vector with discrete factor levels, and named by the samples
`groupings` | List of groupings. 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
`data` | data (samples x features; or a vector in univariate case)

### Value

List with each element corresponding to one factor level and listing the responses according to association strength

### Author(s)

Contact: Leo Lahti leo.lahti@iki.fi

### References

See citation('netresponse')

### Examples

    res <- factor.responses.minimal(annotation.vector = NULL, groupings = NULL)

[Package netresponse version 1.50.0 Index]