| density.spEM {mixtools} | R Documentation |
Takes an object of class spEM and returns an object of class
density giving the kernel density estimate.
## S3 method for class 'spEM': density(x, u=NULL, component=1, block=1, scale=FALSE, ...)
x |
An object of class npEM such as the output
of the npEM or spEMsymloc functions. |
u |
Vector of points at which the density is to be evaluated |
component |
Mixture component number; should be an integer from 1 to the
number of columns of x$posteriors. |
block |
Block of repeated measures. Only applicable in repeated measures
case, for which x$blockid exists; should be an integer from 1 to
max(x$blockid). |
scale |
Logical: If TRUE, multiply the density values by the
corresponding mixing proportions found in x$lambdahat |
... |
Additional arguments; not used by this method. |
The bandwidth is taken to be the same as that used to produce the npEM
object, which is given by x$bandwidth.
density.spEM returns a list of type "density". See
density for details. In particular, the output of
density.spEM may be used directly by functions such as
plot or lines.
mu <- matrix(c(0, 15), 2, 3)
sigma <- matrix(c(1, 5), 2, 3)
x <- rmvnormmix(300, lambda = c(.4,.6), mu = mu, sigma = sigma)
d <- spEM(x, mu0 = 2, blockid = rep(1,3), constbw = TRUE)
plot(d, xlim=c(-10, 40), ylim = c(0, .16), xlab = "", breaks = 30,
cex.lab=1.5, cex.axis=1.5) # plot.spEM calls density.spEM here