mergeResults

mergeResults returns a list of data frames that contain the performance of each digest in the list with their sparsity.

Usage

mergeResults(
  list.results,
  sparsity = NULL,
  penalty = 0.001,
  best.k = NULL,
  colors = NULL,
  pch = NULL
)

Arguments

list.results:

a list of Experiment objects one for each learner used. For example, list(res.terda, res.terga, res.terbeam)

sparsity:

Sometimes a given method will have results with somehow different sparsity. This param will allow to set the catalogue of sparsity

best.k:

a vector defining wether a given k should be used to set the best model selection (default:NULL).

colors:

a vector defining the colors to be used in the graphics. If not specified they will be set by default. (default:NULL).

pch:

a vector defining the shape of the points to be used in the graphics. If not specified they will be set by default. (default:NULL).

Value

list of data.frames and lists

Details

Merge a list of Scores form a digest results