# as.fv

From spatstat v1.41-1
by Adrian Baddeley

##### Convert Data To Class fv

Converts data into a function table (an object of class `"fv"`

).

##### Usage

`as.fv(x)` ## S3 method for class 'fv':
as.fv(x)

## S3 method for class 'data.frame':
as.fv(x)

## S3 method for class 'matrix':
as.fv(x)

## S3 method for class 'fasp':
as.fv(x)

## S3 method for class 'minconfit':
as.fv(x)

## S3 method for class 'kppm':
as.fv(x)

## S3 method for class 'bw.optim':
as.fv(x)

##### Arguments

- x
- Data which will be converted into a function table

##### Details

This command converts data `x`

, that
could be interpreted as the values of a function,
into a function value table (object of the class `"fv"`

as described in `fv.object`

). This object can then
be plotted easily using `plot.fv`

.

The dataset `x`

may be any of the following:

- an object of class
`"fv"`

; - a matrix or data frame with at least two columns;
- an object of class
`"fasp"`

, representing an array of`"fv"`

objects. - an object of class
`"minconfit"`

, giving the results of a minimum contrast fit by the command`mincontrast`

. The - an object of class
`"kppm"`

, representing a fitted Cox or cluster point process model, obtained from the model-fitting command`kppm`

; - an object of class
`"bw.optim"`

, representing an optimal choice of smoothing bandwidth by a cross-validation method, obtained from commands like`bw.diggle`

.

`as.fv`

is generic, with methods for each of the
classes listed above. The behaviour is as follows:
- If
`x`

is an object of class`"fv"`

, it is returned unchanged. - If
`x`

is a matrix or data frame, the first column is interpreted as the function argument, and subsequent columns are interpreted as values of the function computed by different methods. - If
`x`

is an object of class`"fasp"`

representing an array of`"fv"`

objects, these are combined into a single`"fv"`

object. - If
`x`

is an object of class`"minconfit"`

, or an object of class`"kppm"`

that was fitted by minimum contrast, the result is a function table containing the observed summary function and the best fit summary function. - If
`x`

is an object of class`"bw.optim"`

, the result is a function table of the optimisation criterion as a function of the smoothing bandwidth.

##### Value

- An object of class
`"fv"`

(see`fv.object`

).

##### Examples

```
r <- seq(0, 1, length=101)
x <- data.frame(r=r, y=r^2)
as.fv(x)
```

*Documentation reproduced from package spatstat, version 1.41-1, License: GPL (>= 2)*

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