netresponse (version 1.32.2)

PlotMixtureMultivariate: PlotMixtureMultivariate

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.

References

See citation("netresponse") for citation details.

Examples

#plotMixture(dat, means, sds, ws)