plotMetricsClusterComparison: Comparison between two clusterings as plot....

In neobernad/evaluomeR: Evaluation of Bioinformatics Metrics

Comparison between two clusterings as plot. plotMetricsClusterComparison

Description

It plots a clustering comparison between two different k-cluster vectors for a set of metrics.

Usage

plotMetricsClusterComparison(data, k.vector1, k.vector2 = NULL, seed = NULL)

Arguments

data	A SummarizedExperiment. The SummarizedExperiment must contain an assay with the following structure: A valid header with names. The first column of the header is the ID or name of the instance of the dataset (e.g., ontology, pathway, etc.) on which the metrics are measured. The other columns of the header contains the names of the metrics. The rows contains the measurements of the metrics for each instance in the dataset.
k.vector1	Vector of positive integers representing k clusters. The k values must be contained in [2,15] range.
k.vector2	Optional. Vector of positive integers representing k clusters. The k values must be contained in [2,15] range.
seed	Positive integer. A seed for internal bootstrap.

Value

Nothing.

Examples

# Using example data from our package
data("rnaMetrics")
stabilityData <- stabilityRange(data=rnaMetrics, k.range=c(2,4), bs=20, getImages = FALSE)
qualityData <- qualityRange(data=rnaMetrics, k.range=c(2,4), getImages = FALSE)
kOptTable = getOptimalKValue(stabilityData, qualityData)

neobernad/evaluomeR documentation built on Nov. 12, 2024, 11:29 p.m.