selex.summary: 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.