Pval.dist {Rtreemix} | R Documentation

## p-value of a given similarity value

### Description

This function calculates the p-value of a given similarity value, i.e. the probability for obtaining the same or a smaller value than the given one in a vector of random similarity values. The p-value is used to determine whether the given similarity value is significant.

### Usage

    Pval.dist(dist.val, random.vals)

### Arguments

`dist.val` | A `numeric` value quanifying the similarity for which a p-value should be calculated.
`random.vals` | A `numeric` vector of random similarities used for calculating the p-value.

### Value

It returns a `numeric` value between 0 and 1 that specifies the p-value of the given `dist.val`.

### Author(s)

Jasmina Bogojeska

### See Also

`L1.dist`, `kullback.leibler, \code{comp.models}, \code{stability.sim}`

### Examples

    ## The function is currently defined as
    function(dist.val, random.vals) {
      return((sum(random.vals <= dist.val) + 1) /(length(random.vals) + 1))
      }

    ## Define the similarity value and a vector of random similarities
    sim.val <- 0.2
    rand.vals <- c(0.1, 0.24, 0.28, 0.35, 0.15, 0.5, 0.14, 0.6, 0.8, 0.3)

    ## Calculate the p-value of sim.val using the vector of random
    ## similarities
    Pval.dist(dist.val = sim.val, random.vals = rand.vals)

[Package Rtreemix version 1.2.0 Index]