Pearson: 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)

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.

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, $P [R > r]$

Author

Bob Wheeler

Examples

Run this code


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)