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]