Plot for 1- to 3-dimensional normal and t-mixture density functions
Plot for 1- to 3-dimensional normal and t-mixture density functions.
plotmixt(mus, sigmas, Sigmas, props, dfs, dist="normal", draw=TRUE, deriv.order=0, which.deriv.ind=1, binned=TRUE, ...)
mus |
(stacked) matrix of mean vectors |
sigmas |
vector of standard deviations (1-d) |
Sigmas |
(stacked) matrix of variance matrices (2-d, 3-d) |
props |
vector of mixing proportions |
dfs |
vector of degrees of freedom |
dist |
"normal" - normal mixture, "t" - t-mixture |
draw |
flag to draw plot. Default is TRUE. |
deriv.order |
derivative order |
which.deriv.ind |
index of which partial derivative to plot |
binned |
flag for binned estimation of contour levels. Default is TRUE. |
... |
other graphics parameters, see |
If draw=TRUE, the 1-d, 2-d plot is sent to graphics window, 3-d plot to
graphics/RGL window. If draw=FALSE, then a kdde-like object is returned.
## bivariate mus <- rbind(c(0,0), c(-1,1)) Sigma <- matrix(c(1, 0.7, 0.7, 1), nr=2, nc=2) Sigmas <- rbind(Sigma, Sigma) props <- c(1/2, 1/2) plotmixt(mus=mus, Sigmas=Sigmas, props=props, display="filled.contour") ## trivariate mus <- rbind(c(0,0,0), c(-1,0.5,1.5)) Sigma <- matrix(c(1, 0.7, 0.7, 0.7, 1, 0.7, 0.7, 0.7, 1), nr=3, nc=3) Sigmas <- rbind(Sigma, Sigma) props <- c(1/2, 1/2) plotmixt(mus=mus, Sigmas=Sigmas, props=props, dfs=c(11,8), dist="t")
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