kepdf-class | R Documentation |
This class encapsulates results of the application of function kepdf
.
Objects can be created by calls of the form new("kepdf", ...)
or as a result of a call to kepdf
.
call
:Object of class "call"
, corresponding to the matched call.
x
:Object of class "matrix"
representing the data points used to estimate the probability density function.
eval.points
:Object of class "matrix"
representing the data points at which the density is evaluated.
The values of the density estimate at the evaluation points.
kernel
: Object of class "character"
giving the selected kernel.
bwtype
: Object of class "character"
giving the selected type of estimator.
par
: Object of class "list"
providing the parameters used to estimate the density. Its elements are h
, hx
,
and possibly alpha
.
See kepdf
for further details.
signature(x = "kepdf", y = "ANY")
Plots objects of kepdf-class
.
plot-methods
are available for density estimates of:
one-dimensional data;
two-dimensional data: contour, image or perspective plots are available;
multi-dimensional data: matrix of plots of all the pairs of two-dimensional marginal kernel density estimates.
See plot,kepdf-method
for further details.
signature(object = "kepdf")
Prints the following elements:
the class of the object;
the selected kernel;
the selected type of estimator;
either the fixed smoothing parameters or the smoothing parameters of each observation;
the density estimates at the evaluation points.
signature(object = "kepdf")
Provides a summary of kepdf-class
object by printing
the highest density data point and the row or index position of a
percentage top density data points, possibly given as optional argument
prop
.
h.norm
, kepdf
, plot,kepdf-method
,
plot-methods
, show-methods
, summary-methods
.
# showClass("kepdf") # data(wine) #select only "Barolo"-type wines x <- wine[1:59,3] pdf <- kepdf(x) pdf summary(pdf) summary(pdf, props = 10*seq(1, 9, by = 1))
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