linkSignificance | R Documentation |
linkSignificance allows to estimate the statistical deviations of an observed graph from a ghype model.
linkSignificance(
graph,
model,
under = FALSE,
log.p = FALSE,
binomial.approximation = FALSE,
give_pvals = FALSE
)
link_significance(
graph,
model,
under = FALSE,
log.p = FALSE,
binomial.approximation = FALSE,
give_pvals = TRUE
)
graph |
an adjacency matrix or a igraph object. |
model |
a ghype model |
under |
boolean, estimate under-represented deviations? Default FALSE: i.e. returns over representation |
log.p |
boolean, return log values of probabilities |
binomial.approximation |
boolean, force binomial? default FALSE |
give_pvals |
boolean, return p-values for both under and over significance? when FALSE, it returns probabilty of observing stricly more (or less) edges than in graph. When TRUE returns probability of observing exactly as many edges or more (less) than in graph, like a standard pvalue. |
matrix of probabilities with same size as adjacency matrix.
data("adj_karate")
fullmodel <- ghype(graph = adj_karate, directed = FALSE, selfloops = FALSE)
link_significance(graph = adj_karate, model = fullmodel, under=FALSE)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.