Description Usage Arguments Details Value Warnings Author(s) References See Also Examples

For a multitype point pattern on a linear network,
estimate the multitype *K* function
which counts the expected number of points of type *j*
within a given distance of a point of type *i*.

1 | ```
linearKcross(X, i, j, r=NULL, ..., correction="Ang")
``` |

`X` |
The observed point pattern,
from which an estimate of the cross type |

`i` |
Number or character string identifying the type (mark value)
of the points in |

`j` |
Number or character string identifying the type (mark value)
of the points in |

`r` |
numeric vector. The values of the argument |

`correction` |
Geometry correction.
Either |

`...` |
Ignored. |

This is a counterpart of the function `Kcross`

for a point pattern on a linear network (object of class `"lpp"`

).

The arguments `i`

and `j`

will be interpreted as
levels of the factor `marks(X)`

.
If `i`

and `j`

are missing, they default to the first
and second level of the marks factor, respectively.

The argument `r`

is the vector of values for the
distance *r* at which *Kij(r)* should be evaluated.
The values of *r* must be increasing nonnegative numbers
and the maximum *r* value must not exceed the radius of the
largest disc contained in the window.

An object of class `"fv"`

(see `fv.object`

).

The arguments `i`

and `j`

are interpreted as
levels of the factor `marks(X)`

. Beware of the usual
trap with factors: numerical values are not
interpreted in the same way as character values.

Baddeley, A, Jammalamadaka, A. and Nair, G. (to appear)
Multitype point process analysis of spines on the
dendrite network of a neuron.
*Applied Statistics* (Journal of the Royal Statistical
Society, Series C), **63**, 673–694.

1 2 | ```
data(chicago)
K <- linearKcross(chicago, "assault", "robbery")
``` |

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