corFisher: Correlation test by Fisher's Z transformation

In sasLM: 'SAS' Linear Model

Correlation test by Fisher's Z transformation

Description

Testing correlation between two numeric vectors by Fisher's Z transformation

Usage

  corFisher(x, y, conf.level=0.95, rho=0) 

Arguments

x	the first input numeric vector
y	the second input numeric vector
conf.level	confidence level
rho	population correlation rho under null hypothesis

Details

This accepts only two numeric vectors.

Value

N	sample size, length of input vectors
r	sample correlation
Fisher.z	Fisher's z
bias	bias to correct
rho.hat	point estimate of population rho
conf.level	confidence level for the confidence interval
lower	lower limit of confidence interval
upper	upper limit of confidence interval
rho0	population correlation rho under null hypothesis
p.value	p value under the null hypothesis

Author(s)

Kyun-Seop Bae [e-mail]

References

Fisher RA. Statistical Methods for Research Workers. 14e. 1973

Examples

  corFisher(mtcars$disp, mtcars$hp, rho=0.6)

sasLM documentation built on Nov. 19, 2023, 5:12 p.m.