CAISEr (version 0.3.3)

summary.CAISEr: summary.CAISEr

Description

S3 method for summarizing CAISEr objects (the output of run_experiment()).

Usage

# S3 method for CAISEr
summary(object, ...)

Arguments

object

list object of class CAISEr (generated by run_experiment())

...

other parameters to be passed down to specific summary functions (currently unused)

Examples

# NOT RUN {
# Example using dummy algorithms and instances. See ?dummyalgo for details.
# In this case all instances are the same, so we expect all cases to return
# a percent difference of approx. phi.j = 1.0 and sample sizes of
# approx. n1 = 31, n2 = 87
algorithm1 <- list(FUN = "dummyalgo", alias = "algo1",
                   distribution.fun = "rnorm",
                   distribution.pars = list(mean = 10, sd = 1))
algorithm2 <- list(FUN = "dummyalgo", alias = "algo2",
                   distribution.fun = "rnorm",
                   distribution.pars = list(mean = 20, sd = 4))
algolist <- list(algorithm1, algorithm2)
instlist <- vector(100, mode = "list")
for (i in 1:100) instlist[[i]] <- list(FUN = "dummyinstance",
                                       alias = paste0("Inst. ", i))

out <- run_experiment(Instance.list = instlist,
                      Algorithm.list = algolist,
                      power = 0.8,
                      d = 1,
                      sig.level = 0.01,
                      se.max = 0.05,
                      dif = "perc",
                      nmax   = 200,
                      seed   = 1234)
summary(out)

# }