compute_weighted_P: Computes weighted p-values (and T) of a neuR-object

In livioivil/neuR: R package for neuroscience data processing and statistical analysis of neuro-data

Description

Computes IRC (intra run correlation) of a neuR-object pcs array of slot data of a neuR-object (i.e. D@data$pcs)

Usage

compute_weighted_P(D, Pmap = "test.P", Wmap = "IRC", returnMaps = "P",
  names_out = c(Pmap = paste("test.P_W", Wmap, sep = ""), Zmap =
  paste("test.T_W", Wmap, sep = "")), tail = NULL, SignMap = "test.T")

Arguments

D	a neuR-object
Pmap	charachter (i.e. the name of the map in D) or an array. "test.P" by default.
Wmap	charachter (i.e. the name of the map in D) or an array. "IRC" by default.
tail	the sign of the alternative. It can be 0, 1, -1.
SignMap	(only needed if tail=0) the name of the map that has the sign of the test statistic. "test.T" by default
return	can be "Pmap", "Zmap" or c("Pmap","Zmap")

Value

Maps a named list of array/s

livioivil/neuR documentation built on May 21, 2019, 6:43 a.m.