kepdf-class function

Class "kepdf"

This class encapsulates results of the application of function kepdf. 1.1

class

Objects from the Class

Objects can be created by calls of the form new("kepdf", ...) or as a result of a call to kepdf.

Slots

• 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.
• estimate: 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.

Methods

• plot: 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.
  

• show: 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.
  

• summary: 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`.
  

See Also

h.norm, kepdf, plot,kepdf-method, plot-methods, show-methods, summary-methods.

Examples

#
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))