distr (version 1.4)

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", name, filename, call.ev, result, estimator). It does not seem to be very useful to generate a new object this way, however. Use "evaluate" with a Dataclass object!

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) # estimates the data with mean
ev1 # bad results
ev2 <- evaluate(cs,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