robinFDATest {robin} | R Documentation |
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"))
[Package robin version 1.1.2 Index]