as.fv

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Convert Data To Class fv

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

Keywords
manip, spatial
Usage
as.fv(x)

# S3 method for fv as.fv(x)

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

# S3 method for matrix as.fv(x)

# S3 method for fasp as.fv(x)

# S3 method for minconfit as.fv(x)

# S3 method for dppm as.fv(x)

# S3 method for kppm as.fv(x)

# S3 method for 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 "dppm", representing a fitted determinantal point process model, obtained from the model-fitting command dppm;

  • an object of class "bw.optim", representing an optimal choice of smoothing bandwidth by a cross-validation method, obtained from commands like bw.diggle.

The function 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" or "dppm", 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).

Aliases
  • as.fv
  • as.fv.fv
  • as.fv.fasp
  • as.fv.data.frame
  • as.fv.matrix
  • as.fv.minconfit
  • as.fv.dppm
  • as.fv.kppm
  • as.fv.bw.optim
Examples
# NOT RUN {
  r <- seq(0, 1, length=101)
  x <- data.frame(r=r, y=r^2)
  as.fv(x)
# }
Documentation reproduced from package spatstat, version 1.56-1, License: GPL (>= 2)

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