scatteR: Generate scatterplots based on the scagnostics measurement

In scatteR: Generate Instance Space Based on Scagnostics

Generate scatterplots based on the scagnostics measurement

Description

Generate scatterplots based on the scagnostics measurement

Usage

scatteR(
  measurements = c(Monotonic = 1, Outlying = 0.5),
  n_points = 50,
  init_points = NULL,
  global_min = 0.001,
  error_var = 0.001,
  epochs = 100,
  seed = 1835,
  verbose = TRUE,
  loss = "mae",
  ...
)

Arguments

measurements	A named vector containing the scagnostic measurements that the resulting scatterplot should have
n_points	The number of points that the resulting scatterplot should have.
init_points	The number of initial points to use to build the iterative scatterplots. Default is NULL in which case the factors of n_points will be calculated and the 25th quantile from the set of factors will be used.
global_min	the error that the resulting scagnostics can give
error_var	the variance of the random error that is added on to the existing points
epochs	number of epochs the optimization method should run
seed	The random number generation seed
verbose	Logical. TRUE means that messages from the optimization algorithm are shown. Default is TRUE
loss	The loss function to be used within the scatteR program. Can be either 'mae' or 'mse'. Default is 'mae'
...	Extra arguments to be used in the control argument of the GenSA function of the GenSA package

Value

A bivariate data.frame with two columns named x and y that gives a roughly similar scagnostic measurement to the 'measurements' argument

scatteR documentation built on Aug. 17, 2022, 9:05 a.m.