diff_test_ggPlot: Difference Test Plots

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

Description

This function performs the difference test and generates a ggplot object representing the results.

Usage

diff_test_ggPlot(netSampleStatSet, labels, sort = "alpha",
  p.threshold = 0.05, p.adjust = "BH", hide.non.sig = F,
  non.parametric = F)

Arguments

netSampleStatSet	Input NetSampleStatSet
labels	ggplot2 labs object. Labels for the plot
sort	one of "alpha", "mean", "median". "alpha" sorts in alpha numeric order, while mean and median sort by decreasing values.
p.threshold	Numeric. Threshold by which to highlight results. Defaults to .05
p.adjust	character string for requested multiple comparisons adjustment. Defaults to Benjamani-Hochberg
hide.non.sig	Logical. If true, non significant (as defined by p.threshold) are not plotted.
non.parametric	Logical. if true, test is performed using Wilcox test. If false, t-test. Defaults to false.

Value

A ggplot object

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_ggPlot(GlobEff_GroupA_Net)

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