robinFDATest: robinFDATest

In robin: ROBustness in Network

robinFDATest

Description

The function implements the Interval Testing Procedure to test the difference between two curves.

Usage

robinFDATest(
  graph,
  model1,
  model2,
  legend = c("model1", "model2"),
  verbose = FALSE
)

Arguments

graph	The output of prepGraph.
model1	The Mean output of the robinRobust function (or the Mean1 output of the robinCompare function).
model2	The MeanRandom output of the robinRobust function (or the Mean2 output of the robinCompare function).
legend	The legend for the graph. The default is c("model1", "model2"). If using robinRobust is recommended c("real data", "null model"), if using robinCompare, enter the names of the community detection algorithms.
verbose	flag for verbose output (default as FALSE).

Value

Two plots: the fitted curves and the adjusted p-values. A vector of the adjusted p-values.

Examples

my_file <- system.file("example/football.gml", package="robin")
graph <- prepGraph(file=my_file, file.format="gml")
graphRandom <- random(graph=graph)
Proc <- robinRobust(graph=graph, graphRandom=graphRandom, method="louvain",
measure="vi",type="independent")
robinFDATest(graph=graph, model1=Proc$Mean, model2=Proc$MeanRandom, 
legend=c("real data", "null model"))

robin documentation built on May 17, 2022, 1:07 a.m.