GARS_PlotFeaturesUsage: A bubble chart to assess the usage of each features

Description Usage Arguments Value Author(s) See Also Examples

View source: R/GARS_plotFeatCov.R

Description

This function allows assessing visually how many times a feature is selected across the generations. In principle, a highly recurring feature is more likely to be important.

Usage

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GARS_PlotFeaturesUsage(popul.list, allFeat, nFeat = length(allFeat))

Arguments

popul.list

A SummarizedExpression object

allFeat

A character vector containing the list of the all features name. Often, it corresponds to the columns name of the data matrix.

nFeat

The number of features which have to be plotted. Default is 'length(allFeat)'

Value

A bubble chart where each plotted feature is represented by a colored circle. A feature is important (i.e. conserved) if the size is wide and the color tends to red; the smaller the size, the lighter the color and less informative the feature.

Author(s)

Mattia Chiesa, Luca Piacentini

See Also

GARS_PlotFitnessEvolution

Examples

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# use example data:
data(GARS_data_norm)
data(GARS_pop_list)
allfeat_names <- colnames(GARS_data_norm)
GARS_PlotFeaturesUsage(GARS_pop_list, allfeat_names, nFeat = 10)

GARS documentation built on Nov. 8, 2020, 7:23 p.m.