PlotMixtureUnivariate: Plot univariate mixtures

In antagomir/netresponse: Functional Network Analysis

Plot univariate mixtures

Description

Visualize data, centroids and stds for a given univariate Gaussian mixture model with PCA.

Usage

PlotMixtureUnivariate(
  x,
  means = NULL,
  sds = NULL,
  ws = NULL,
  title.text = NULL,
  xlab.text = NULL,
  ylab.text = NULL,
  binwidth = 0.05,
  qofz = NULL,
  density.color = "darkgray",
  cluster.assignments = NULL,
  ...
)

Arguments

x	data vector
means	mode centroids
sds	mode standard deviations
ws	weight for each mode
title.text	Plot title
xlab.text	xlab.text
ylab.text	ylab.text
binwidth	binwidth for histogram
qofz	Mode assignment probabilities for each sample. Samples x modes.
density.color	Color for density lines
cluster.assignments	Vector of cluster indices, indicating cluster for each data point
...	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

# plotMixtureUnivariate(dat, means, sds, ws)

antagomir/netresponse documentation built on March 30, 2023, 7:24 a.m.