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 |

### Value

A list of radius transforms.

### Author(s)

Jussi Klemela

### See Also

`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]