pzconf: Calculate Confidence Intervals for the Difference of Zero...

In zeroEQpart: Zero Order vs (Semi) Partial Correlation Test and CI

Description

The pzconf function calculates confidence intervals for a zero order correlation minus a (semi) partial correlation (ρ.xy - ρ.xy.z). It is intended to be used after the pzcor function.

Usage

pzconf(pzcor_obj, level = 0.9)

Arguments

pzcor_obj	pzcor object (output from pzcor function).
level	numerical. Confidence level used to calculate the confidence interval. This may be a vector so multiple intervals can be determined.

Details

The pzconf function calculates confidence intervals based on the bootstrap distribution determined from the pzcor function. See ?pzcor for details.

Value

The confidence interval(s) is(are) displayed in a dataframe with four columns: Level, Lower, Upper, and Warnings. Level refers to the confidence level of the interval. Lower and Upper are the respective lower and upper bounds of the interval. Warnings may say "Max Level Passed" to show that the specified confidence level exceeds the largest confidence interval that can be determined from the test. The largest confidence interval is shown in the last row (named "Max").

See Also

pzcor

Examples

require(graphics)
require(MASS)
# data
set.seed(1111)
mu <- rep(0,4)
Sigma <- matrix(.2, nrow=4, ncol=4) + diag(4)*.8
data <- mvrnorm(n=100, mu=mu, Sigma=Sigma)

# p.(1,2) = p.(1,2)|(3,4) test
test <- pzcor(data[,1], data[,2], data[,c(3,4)], k = 1000)
hist(test$distribution)
pzconf(test, c(0.9, 0.95, 0.99))

zeroEQpart documentation built on May 1, 2019, 7:04 p.m.