spatstat.explore (version 3.4-2)

harmonise.fv: Make Function Tables Compatible

Description

Convert several objects of class "fv" to the same values of the function argument.

Usage

# S3 method for fv
harmonise(..., strict=FALSE)
# S3 method for fv
harmonize(..., strict=FALSE)

Value

A list, of length equal to the number of arguments ..., whose entries are objects of class "fv". If the arguments were named (name=value) then the return value also carries these names.

Arguments

...

Any number of function tables (objects of class "fv").

strict

Logical. If TRUE, a column of data will be deleted if columns of the same name do not appear in every object.

Author

Adrian Baddeley , Rolf Turner and Ege Rubak .

Details

A function value table (object of class "fv") is essentially a data frame giving the values of a function \(f(x)\) (or several alternative estimates of this value) at equally-spaced values of the function argument \(x\).

The command harmonise is generic. This is the method for objects of class "fv".

This command makes any number of "fv" objects compatible, in the loose sense that they have the same sequence of values of \(x\). They can then be combined by cbind.fv, but not necessarily by eval.fv.

All arguments ... must be function value tables (objects of class "fv"). The result will be a list, of length equal to the number of arguments ..., containing new versions of each of these functions, converted to a common sequence of \(x\) values. If the arguments were named (name=value) then the return value also carries these names.

The range of \(x\) values in the resulting functions will be the intersection of the ranges of \(x\) values in the original functions. The spacing of \(x\) values in the resulting functions will be the finest (narrowest) of the spacings of the \(x\) values in the original functions. Function values are interpolated using approxfun.

If strict=TRUE, each column of data will be retained only if a column of the same name appears in all of the arguments .... This ensures that the resulting objects are strictly compatible in the sense of compatible.fv, and can be combined using eval.fv or collapse.fv.

If strict=FALSE (the default), this does not occur, and then the resulting objects are not guaranteed to be compatible in the sense of compatible.fv.

See Also

fv.object, cbind.fv, eval.fv, compatible.fv

Examples

   H <- harmonise(K=Kest(cells), G=Gest(cells))
   H