Convert Data To Class fv
Converts data into a function table (an object of class "fv").
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 'dppm' as.fv(x) ## S3 method for class 'kppm' as.fv(x) ## S3 method for class 'bw.optim' as.fv(x)
x |
Data which will be converted into a function table |
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.
An object of class "fv" (see fv.object).
Adrian Baddeley Adrian.Baddeley@curtin.edu.au, Rolf Turner r.turner@auckland.ac.nz and Ege Rubak rubak@math.aau.dk
r <- seq(0, 1, length=101) x <- data.frame(r=r, y=r^2) as.fv(x)
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.