mf.rsamp.lm: Resampling method for significance evaluation of some feature...

In mrmtshmp/ExploratoryDataAnalysis: Make plots for explanatory data analyses

Description

Resampling method for significance evaluation of some feature selection method.

Usage

mf.rsamp.lm(
  var.x = "BVAS",
  data = pData.obj.aggTaxa.ADS,
  count.table = MRcounts(obj.aggTaxa.ADS),
  ori.count.table = MRcounts(obj.aggTaxa),
  itt.rsamp = itt.rsamp.wilcox,
  func.stat = vegan::diversity,
  func.lm = robustbase::lmrob,
  lm.summary.statistics = "coefficients",
  boot.estimate = TRUE,
  boot.method = "ordinary",
  confint = 0.975,
  var.estimate = "Estimate",
  nR = 500,
  list.do.call.func.stat = list(index = "invsimpson"),
  list.do.call.func.lm = list(method = "MM"),
  ...
)

Arguments

var.x	A character string to be RHS of formula in func.im.
data	A data.frame-class object in which phenotype data were input.
count.table	A data.frame-class object of selected features.
ori.count.table	A data.frame-class object of features without selection.
itt.rsamp	The number of itteration.
func.stat	A function object to compute summary of features (DEFAULT = vegan::diversity)
func.lm	A function object to
lm.summary.statistics	= vegan::diversity,
list.do.call.func.stat	list of arguments to be input func.stat.
list.do.call.func.lm	list of arguments to be input func.stat.
...	so far ineffective.

mrmtshmp/ExploratoryDataAnalysis documentation built on Oct. 6, 2020, 8 a.m.