View source: R/pvalue_calculation.R

pval | R Documentation |

Calculation of p-values for each score with respect to the null.

```
pval(actual.scores, null.scores, method = "exponential")
```

`actual.scores` |
a vector including actual scores with the length of number of nodes (N_nodes). |

`null.scores` |
a matrix of null scores with the dimension of N_nodes x N_repeat |

`method` |
statistical test method: c( |

Calculate the p-value for each node based on the actual and null diffusion scores.

vector of p-values

```
graph = graph_generation(n.nodes = 10, prob.connection = 0.5)
initial_score = c(rep(0,5),0.2, 0.3, 0, 0, 0.5)
names(initial_score) = igraph::V(graph)
Actual_score = actual_score(graph = graph, initial.score = initial_score, damping = 0.7)
Null_score = null_score(graph = graph, initial.score = initial_score, damping = 0.7, N.repeat = 10)
pvalue = pval(actual.scores = Actual_score, null.scores = Null_score, method = "exponential")
```

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