plotMLGWAS: MLGWAS Plots

In olivmrtn/MachineLearningGWAS: Machine Learning for Genome Wide Association Studies

Description

Plots performance, feature importance and stability, or errors of MLGWAS objects.

Usage

plotPerf(x, measure, group)

plotFeatimp(x, sort_by_classifiers, features, max_features = 20)

plotErrors(x)

## S4 method for signature 'MLGWAS'
plotPerf(x, measure, group)

## S4 method for signature 'MLGWAS'
plotErrors(x)

## S4 method for signature 'MLGWAS'
plotFeatimp(x, sort_by_classifiers, features,
  max_features = 20)

Arguments

x	MLGWAS object.
measure	character specifying performance measure to be plotted. Can be any column name in performance(x) that is not an identifier.
group	Facultative list containing ClassifierIDs. ClassifierIDs in the same list entry will be plotted side by side. By default, all ClassifierID are plotted separately.
sort_by_classifiers	Classifier identifiers classifierNames(x) to be used to sort feature importance.
features	Subset of FeatureIDs.
max_features	integer specifying maximum number of features in plot.

See Also

ggplot

olivmrtn/MachineLearningGWAS documentation built on May 24, 2019, 12:52 p.m.