do_experiment_synthetic: Perform experiments on synthetic datasets. # Perform...
In bwrc/astrid-r: Automatic STructure IDentification

Perform experiments on synthetic datasets. # Perform experiments on synthetic datasets.

do_experiment_synthetic(classifier_list, datapath, savepath, R = NULL,
  Rmin = NULL, Rmax = NULL, z = NULL, alpha = NULL,
  prune_singletons = FALSE, seed = 42, seed_traintest = 42,
  early_stopping = FALSE)

`classifier_list`	List of classifiers
`datapath`	Directory with the data files.
`savepath`	Path where to save the resutls.
`R`	Number of samples to use. Default is`NULL` in which case R = 1 + (1 / alpha) will be used by `analyze_dataset`.
`Rmin`	Ninimum number of replications to use for calculating p-values.
`Rmax`	Maximum number of replications to use for calculating p-values.
`z`	Parameter for confidence band for p-values. Use 1.96 for 95 percent, 2.25 for 97.5 percent and 2.57 for 99 percent. Default is 2.57.
`alpha`	Significance level (default is 0.05).
`prune_singletons`	Should singletons be pruned. Default is `TRUE`.
`seed`	Random seed, default is 42.
`seed_traintest`	Random seed used for splitting the data into training and testing sets, default is 42.
`early_stopping`	Use early stopping. Default is `FALSE` in which case Rmin samples are used to calculate p-values. If `TRUE` at least Rmin and at most Rmax values are used.