CAISEr (version 0.3.3)

print.CAISEr: print.CAISEr

Description

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

Usage

# S3 method for CAISEr
print(x, ..., digits = 6, right = TRUE,
  breakrows = FALSE)

Arguments

x

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

...

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

digits

the minimum number of significant digits to be used. See print.default().

right

logical, indicating whether or not strings should be right-aligned.

breakrows

logical, indicating whether to "widen" the output table by placing the bottom half to the right of the top half.

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)
out

# }