netresponse (version 1.32.2)

PlotMixtureUnivariate: 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

References

See citation("netresponse") for citation details.

Examples

# plotMixtureUnivariate(dat, means, sds, ws)