filterfeaturesK: Selects a the top k features that are significantly...

In predomics/predomicspkg: Interpretable Prediction in Omics Data

Selects a the top k features that are significantly associated with the class to predict

Description

Runs statistics on the data and selects a subset of k features that are the most significant. Besides filtering this function can be used in a more larger statistical context.

Usage

filterfeaturesK(
  data,
  trait,
  k = 10,
  type = "wilcoxon",
  restrict = rep(TRUE, ncol(data)),
  multiple.adjust = "BH",
  paired = FALSE,
  sort = TRUE,
  verbose = FALSE,
  verbose.step = NULL,
  return.data = FALSE
)

Arguments

data:	the dataset X
trait:	is the equivalent of y (class, or numerical)
k:	the number of features (default:10)
type:	the statistics to be run (default:wilcoxon)
restrict:	Run the statistics in a subset of the dataset (default: a vector of all TRUE)
multiple.adjust:	the multiple testing adjustment method (default:BH)
paired:	wether paired statistics should be run (default:FALSE)
sort:	return variables sorted by p-value significance (default:TRUE)
verbose:	print out information indicating progress (default:FALSE)
verbose.step:	Showing a 1 percent progress.
return.data:	if (default:FALSE) this returns the statistics of X, otherwise the restricted data subset

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