eq.corr: Test for lack of association: Equivalence-based correlation...

In cribbie/equivalencetests: Equivalence Tests

Description

Function performs a traditional Pearson correlation test, an equivalence based test of lack of association, an equivalence based test of lack of association using a Fisher's z transformation, and an equivalence based test of lack of association with resampling.

Usage

eq.corr(dat, ei, alpha = 0.05, na.rm = TRUE, ...)

## S3 method for class 'eq.corr'
print(x, ...)

Arguments

dat	a data.frame or matrix containing only 2 variables
ei	equivalence interval, in terms of the magnitude of a correlation
alpha	desired alpha level
na.rm	logical; remove missing values?
...	additional arguments to be passed
x	object of class eq.corr

Value

returns a list containing each analysis and their respective statistics and decision

Author(s)

Rob Cribbie [e-mail] and Phil Chalmers [e-mail]

Examples

## Not run: 
#equivalence correlation test between v1 and v2 with an interval of .2
v1 <- rnorm(100)
v2 <- v1 + rnorm(100, 2)
dat <- data.frame(v1, v2)
plot(dat)
cor(dat)
eq.corr(dat, .2)

## End(Not run)

cribbie/equivalencetests documentation built on May 14, 2019, 11:33 a.m.