generate_data_2: generate_data_2 take in two sets of problem samples from...

In UrbanSkv/ela-visualization:

generate_data_2 take in two sets of problem samples from files name1 and name2, and return a combined dataframe containing combined samples, with samples in name2 shifted and scaled

Description

generate_data_2 take in two sets of problem samples from files name1 and name2, and return a combined dataframe containing combined samples, with samples in name2 shifted and scaled

Usage

generate_data_2(
  root_folder = "C:\\R_Code\\Landscape Analysis\\rezultati\\samples",
  name1,
  name2,
  dim,
  step,
  nfun,
  scale_x_factor = 10000,
  scale_y_factor = 10000,
  shift_x_factor = 10000,
  shift_y_factor = 10000,
  normalize_Y = FALSE,
  gecco = FALSE,
  gecco_cec = FALSE,
  rotate = FALSE
)

Arguments

root_folder	the path of the root folder containing all of the sample files
name1	filename of the first problem sample file, without the .mat extension
name2	filename of the second problem sample file, without the .mat extension
dim	the dimension of the data
step	number of samples for each individual problem
nfun	total number of problems
scale_x_factor	how much to scale the x1,...,xn part of the problem
scale_y_factor	how much to scale the y part of the problem
shift_x_factor	how much to shift the x1,...,xn part of the problem
shift_y_factor	how much to shift the y part of the problem
normalize_Y	should y valus be normalized
gecco	do the files contain gecco problems (FALSE for cec problems)
gecco_cec	does one of the files contain gecco problems, and the other CEC problems (FALSE if both files contain the same benchmark)
rotate	should the problems also be rotated (not used in the paper, as rotation wasn't considered)

Value

a combined dataframe containing samples and results from name1 and name2, with the samples and results in name2 shifted and scaled

UrbanSkv/ela-visualization documentation built on May 20, 2022, 12:09 a.m.