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
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,="" $p[r=""> r]$=>