diff_test: Test for differences from original statistic

In trh3/netjack: Tools for Working with Samples of Networks

Description

This function tests for significant differences from the original network statistic as a result of the network manipulation. If non-parametric is chosen, this is done using the Wilcox test, otherwise, t-test.

Usage

diff_test(netSampleStatSet, p.adjust = "BH", non.parametric = F)

Arguments

netSampleStatSet	Input NetSampleStatSet
p.adjust	character string for requested multiple comparisons adjustment. Defaults to Benjamani-Hochberg
non.parametric	Logical. if true, test is performed using Wilcox test. If false, t-test. Defaults to false.

Value

A data frame containing original and adjusted p.values, as well as differences, labeled with manipulation name.

Examples

data(GroupA)
GroupA_Net = as_NetSample(GroupA, 1:20, node.variables = list(community = c(rep(1, 10), rep(2,10))),
  sample.variables = list(group = c(rep(1, 10), rep(2,10))))
Jackknife_GroupA_Net = net_apply(GroupA_Net, node_jackknife)
GlobEff_GroupA_Net = net_stat_apply(Jackknife_GroupA_Net, global_efficiency)
diff_test(GlobEff_GroupA_Net)

trh3/netjack documentation built on Aug. 21, 2019, 4:04 a.m.