PlotMixtureBivariate {netresponse} | R Documentation |
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.
PlotMixtureBivariate(x, means, sds, ws, labels = NULL, confidence = 0.95, main = "", ...)
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. |
Used for its side-effects.
Leo Lahti leo.lahti@iki.fi
See citation("netresponse") for citation details.
#plotMixture(dat, means, sds, ws)