PlotMixtureMultivariate: PlotMixtureMultivariate

In netresponse: Functional Network Analysis

Description

Visualize data, centroids and response confidence intervals for a given Gaussian mixture model with PCA. Optionally, color the samples according to annotations labels.

Usage

PlotMixtureMultivariate(
  x,
  means,
  sds,
  ws,
  labels = NULL,
  title = NULL,
  modes = NULL,
  pca = FALSE,
  qofz = NULL,
  ...
)

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.
title	title
modes	Optional: provide sample modes for visualization already in the input
pca	The data is projected on PCA plane by default (pca = TRUE). By setting this off (pca = FALSE) it is possible to visualize two-dimensional data in the original domain.
qofz	Sample-response probabilistic assignments matrix (samples x responses)
...	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.