stseq {denpro} | R Documentation |
Calculates a sequence of radius functions from level sets of a function of a given parametric form.
stseq(N, lnum, refe = NULL, func = NULL, dendat = NULL, h = NULL, Q = NULL, kernel = "epane", weights = NULL, sig = rep(1, length(N)), support = NULL, theta = NULL, M = NULL, p = NULL, mul = 3, t = rep(1, length(N)), marginal = "normal", r = 0, mu = NULL, xi = NULL, Omega = NULL, alpha = NULL, df = NULL, g = 1, base = 10)
N |
d-vector of integers >1; the size of the grid where the function is evaluated |
lnum |
positive integer; the number of level sets from which the transforms are calculated |
refe |
d-vector of real numbers; the reference point for the shape trees; if refe=NULL, then the location of the maximum of the function will be used |
func |
character; the name of the function, see the "pcf.func" for the possibilities |
dendat |
n*d matrix of data; when the function is a kernel estimate one gives the data as argument |
h |
postive real number; the smoothing parameter of the kernel estimate |
Q |
internal |
kernel |
"gauss" or "epane"; the kernel of the kernel estimate |
weights |
n vector of nonnegative weights, where n is the sample size; sum of the elements of "weights" should be one; these are the weights of a time localized kernel estimator |
sig |
see "pcf.func" |
support |
see "pcf.func" |
theta |
see "pcf.func" |
M |
see "pcf.func" |
p |
see "pcf.func" |
mul |
see "pcf.func" |
t |
see "pcf.func" |
marginal |
see "pcf.func" |
r |
see "pcf.func" |
mu |
see "pcf.func" |
xi |
see "pcf.func" |
Omega |
see "pcf.func" |
alpha |
see "pcf.func" |
df |
see "pcf.func" |
g |
see "pcf.func" |
base |
positve integer or NULL; the base of the logarithm, when the logarithmic spacing is used for the level sets, if "base" is NULL, then the level sets are equispaced |
A list of radius transforms.
Jussi Klemela
N<-c(32,32) lnum<-30 func<-"prod" marginal<-"student" yla<-5 support<-c(-yla,yla,-yla,yla) g<-c(1,3) st<-stseq(N,lnum,func=func,marginal=marginal,support=support,g=g) gnum<-70 vd<-shape2d(st,gnum=gnum) plotvolu2d(vd)