mergeResults: mergeResults

In predomics/predomicspkg: Interpretable Prediction in Omics Data

mergeResults

Description

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).

Details

Merge a list of Scores form a digest results

Value

list of data.frames and lists

predomics/predomicspkg documentation built on Dec. 11, 2024, 11:06 a.m.