| dnorMix {nor1mix} | R Documentation |
Evaluate the density function of the normal mixture specified as
norMix object.
dnorMix (x, obj, log = FALSE) dnorMixL(obj, x = NULL, log = FALSE, xlim = NULL, n = 511) dpnorMix(x, obj, lower.tail = TRUE)
obj |
an object of class norMix. |
x |
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]. |
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(). |
d |
the density values f(x) as for dnorMix(). |
p |
the probability values F(x) as for pnorMix(). |
rnorMix for random number generation, and
norMix for the construction and further methods,
particularly plot.norMix which makes use dnorMix.
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$d, dnorMix(x, MW.nm7), tol=1e-12),
all.equal(dp$p, pnorMix(x, MW.nm7), tol=1e-12))