numeric vector with abscissa values where to evaluate the
density (and probability, for dpnorMix()). For dnorMixL()
by default, when NULL, it is constructed
from n (and xlim if that is specified).
log
logical indicating log-density values should be returned.
xlim
range of abscissa values, used if x == NULL. By default,
xlim is taken as mean plus/minus 3 standard deviations of the normal
mixture.
n
number of abscissa values to generate if x is not specified.
lower.tail
logical; if TRUE (default), probabilities are
P[X <= x], otherwise, P[X > x].
Value
dnorMix(x) returns the numeric vector of density values
f(x), logged if log is TRUE.
dnorMixL() returns a list with components
x
the abscissa values.
y
the density values f(x) as for dnorMix().
dpnorMix() returns a list with components
d
the density values f(x) as for dnorMix().
p
the probability values F(x) as for pnorMix().
See Also
rnorMix for random number generation, and
norMix for the construction and further methods,
particularly plot.norMix which makes use dnorMix.
Examples
ff <- dnorMixL(MW.nm7)
str(ff)
plot(ff, type = "h", ylim = c(0,1)) # rather use plot(ff, ...)
x <- seq(-4,5, length=501)
dp <- dpnorMix(x, MW.nm7)
lines(x, dp$d, col = "tomato", lwd=3)
lines(x, dp$p, col = 3, lwd=2)# does not fit y-wise
stopifnot(all.equal(dp$d, dnorMix(x, MW.nm7), tolerance=1e-12),
all.equal(dp$p, pnorMix(x, MW.nm7), tolerance=1e-12))