# Evaluation-class

From distr v1.5
0th

Percentile

##### Class "Evaluation"

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

##### Note

The saved "evaluation" can be loaded with the usual load-command, the saved comment with the function cload.

##### 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!

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

##### Aliases
• Evaluation-class
• initialize,Evaluation-method
##### 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
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)
ev1