selex.summary {SELEX} | R Documentation

## Display all count table, Markov model, and information gain summaries

### Description

This function returns the summaries of either all the calculated count tables, Markov models, and information gain values in the current working directory or those for a specific sample.

### Usage

    selex.summary(sample=NULL, displayFilter=FALSE)

### Arguments

`sample` | A sample handle to the sample for which summaries should be returned.
`displayFilter` | Display all applied sequence filter attributes.

### Value

`selex.summary` returns a list containing the following components:

`countSummary` | a data frame containing the sample, kmer length, offset, minimum/maximum count, total count, and applied filters for either all count tables or a specified sample in the current working directory.
`markovModel` | a data frame containing the sample, order, Markov model type, R^2 value, cross validation sample/length, and applied filters for either all computed Markov models or a specified sample in the current working directory.
`informationGain` | a data frame containing the sample, Kmer length, information gain value, Markov model/type, and applied filters for either all computed information gain values or a specified sample in the current working directory.

### See Also

`selex.counts`, `selex.countSummary`, `selex.infogain`, `selex.infogainSummary`, `selex.mm`, `selex.mmSummary`

### Examples

    selex.summary()

[Package SELEX version 1.18.0 Index]