PlotMixtureBivariate: PlotMixtureBivariate

In netresponse: Functional Network Analysis

Description

Visualize data, centroids and response confidence intervals for a given Gaussian mixture model in two-dimensional (bivariate) case. Optionally, color the samples according to annotations labels.

Usage

PlotMixtureBivariate(
  x,
  means,
  sds,
  ws,
  labels = NULL,
  confidence = 0.95,
  main = "",
  ...
)

Arguments

x	data matrix (samples x features)
means	mode centroids (modes x features)
sds	mode standard deviations, assuming diagonal covariance matrices (modes x features, each row giving the sqrt of covariance diagonal for the corresponding mode)
ws	weight for each mode
labels	Optional: sample class labels to be indicated in colors.
confidence	Confidence interval for the responses based on the covariances of each response. If NULL, no plotting.
main	title text
...	Further arguments for plot function.

Value

Used for its side-effects.

Author(s)

Leo Lahti [e-mail]

References

See citation('netresponse') for citation details.

Examples

#plotMixture(dat, means, sds, ws)

netresponse documentation built on Nov. 8, 2020, 5:04 p.m.