PlotMixtureBivariate {netresponse} | R Documentation

## 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.

### Author(s)

Leo Lahti leo.lahti@iki.fi

### References

See citation("netresponse") for citation details.

### Examples

    #plotMixture(dat, means, sds, ws)

[Package netresponse version 1.40.0 Index]