distrTEst (version 2.8.2)

Evaluation-class: Class "Evaluation"

Description

When an estimator is used to data of the type "Dataclass" with the method evaluate, the result is an object of class "Evaluation".

Objects from the Class

Objects could be created by calls of the form new("Evaluation", Data, estimator, [result, name, filename, call.ev]). It does not seem to be very useful to generate a new object this way, however. It is to be preferred to use "evaluate" with a Dataclass object!

Slots

call.ev

Object of class "call": the call which created the object, e.g.; ``evaluate(Dataclassobject,mean)''

Data

Object of class "Dataclass": the data set / simulation on which the evaluation takes place.

estimator

Object of class "OptionalFunction": estimation function used; this estimation function should be able to deal with data in matrix form samplesize x obsDim and should return either a univariate result or a vector (with named coordinates, if possible).

filename

Object of class "character": the filename of the evaluation; by default the filename of the Dataclass object, which was called by evaluate

name

Object of class "character": the name of the evaluation; by default the name of the Dataclass object, which was called by evaluate

result

Object of class "DataframeorNULL": the result of the evaluation of the estimation on data

Accessors/Replacement functions

call.ev

no replacement possible

estimator

no replacement possible

filename

replacement possible

name

replacement possible

result

no replacement possible

Methods

initialize

signature(.Object = "Evaluation"): initialize method

plot

signature(object = "Evaluation"): returns a boxplot of the result

print

signature(object = "Evaluation"): returns the name of the data object, its filename, the estimator used and the result

savedata

signature(object = "Evaluation"): saves the object in two files in the directory of R - one with data, one without as comment file (see example)

summary

signature(object = "Evaluation"): returns the name of the data object, its filename, the estimator used and a statistical summary of the result

Author

Thomas Stabla ,
Florian Camphausen ,
Peter Ruckdeschel ,
Matthias Kohl

See Also

Dataclass-class Simulation-class Contsimulation-class load cload savedata-methods plot-methods simulate-methods summary-methods

Examples

N <- Norm() # N is a standard normal distribution.
C <- Cauchy() # C is a Cauchy distribution
cs <- Contsimulation(filename = "csim",
                     runs = 5,
                     samplesize=5000,
                     seed=setRNG(),
                     distribution.id = N,
                     distribution.c = C,
                     rate = 0.1)
simulate(cs)
# Each of the 25000 random numbers is ideal (N-distributed) with
# probability 0.9 and contaminated (C-distributed) with probability = 0.1
summary(cs)
ev1 <- evaluate(cs, mean, resname="mean") # estimates the data with mean
ev1 # bad results
ev2 <- evaluate(cs,median, resname="median") # estimates the data with median
ev2 # better results because median is robust
savedata(ev1)
# saves the evaluation with result as "csim.mean" and without result as
# "csim.mean.comment" in the working directory # of R - "csim" is the
# filename of the Contsimulation object, mean the name of the estimator
rm(ev1)
cload("csim.mean")
# loads the evaluation without result - the object is called ev1.comment
ev1.comment
load("csim.mean") # loads the evaluation with result
ev1
plot(ev1)
#
#clean up
unlink("csim.mean")
unlink("csim.mean.comment")
#
#another function to be evaluated:
severalThings<- function(x) {list("mean"=mean(x),"sd"=sd(as.vector(x)), "mad"=mad(x))}
ev3 <- evaluate(cs, severalThings, resname="several") 
plot(ev3)
plot(ev3, ylim=c(0,10), col=c("blue","green", "red"))