R: The Pearson product moment correlation coefficient

Pearson {SuppDists} | R Documentation

## The Pearson product moment correlation coefficient

### Description

Density, distribution function, quantile function, random generator and summary function for the distribution of Pearson's product moment correlation.

### Usage

    dPearson(x, N, rho=0.0, log=FALSE)
    pPearson(q, N, rho=0.0, lower.tail=TRUE, log.p=FALSE)
    qPearson(p, N, rho=0.0, lower.tail=TRUE, log.p=FALSE)
    rPearson(n, N, rho=0.0)
    sPearson(N, rho=0.0)

### Arguments

`x,q` | vector of sample correlations
`p` | vector of probabilities
`rho` | vector of population correlations
`N` | vector of numbers of observations, (N > 3)
`n` | number of values to generate. If n is a vector, length(n) values will be generated
`log, log.p` | logical vector; if TRUE, probabilities p are given as log(p)
`lower.tail` | logical vector; if TRUE (default), probabilities are P[R <= r], otherwise, P[R > r]

### Value

The output values conform to the output from other such functions in R. `dPearson()` gives the density, `pPearson()` the distribution function and `qPearson()` its inverse. `rPearson()` generates random numbers. `sPearson()` produces a list containing parameters corresponding to the arguments – mean, median, mode, variance, sd, third cental moment, fourth central moment, Pearson's skewness, skewness, and kurtosis.

### Author(s)

Bob Wheeler bwheelerg@gmail.com

### Examples

    pPearson(0.5, N=10)
    pPearson(q=0.5, N=10, rho=0.3)
    sPearson(N=10)
    plot(function(x)dPearson(x,N=10,rho=0.7),-1,1)

[Package SuppDists version 1.1-9.4 Index]