netresponse (version 1.32.2)

PlotMixtureBivariate: PlotMixtureBivariate

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.

References

See citation("netresponse") for citation details.

Examples

#plotMixture(dat, means, sds, ws)