selex.split: Randomly split a dataset
In SELEX: Functions for analyzing SELEX-seq data

Description Usage Arguments Details Value See Also Examples

A function used to randomly split and store a dataset into smaller fractions as defined by ratios. This is useful in generating cross-validation datasets for Markov Model testing when none are available.

1	selex.split(sample, ratios=NA)

`sample`	A sample handle to the dataset to be split.
`ratios`	The fractions with with new datasets should be generated. If `NA`, ratios is set to `c(.5,.5)` and `sample` is evenly split into two datasets.

selex.split saves the newly generated datasets in the current working directory and makes them visible to the current SELEX session. Naming convention of new samples: New sequence name = <seqName>.split.x ; New sample name = <sampleName>.split.x .

Not applicable

selex.defineSample, selex.loadAnnotation, selex.mm, selex.sampleSummary

# Split the r0 sample into testing and training datasets
r0.split = selex.split(sample=r0)

# show information about subsamples
names(r0.split)
r0.split$info
selex.getAttributes(r0.split$train)

# Display all currently loaded samples
selex.sampleSummary()