stseq {denpro} R Documentation

## Calculates a sequence of radius functions from a sequence of level sets

### Description

Calculates a sequence of radius functions from level sets of a function of a given parametric form.

### Usage

```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)
```

### Arguments

 `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

### Author(s)

Jussi Klemela

`shape2d`, `plotvolu2d`

### Examples

```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)

```

[Package denpro version 0.9.0 Index]