ci.cor.dep {statpsych}R Documentation

Confidence interval for a difference in dependent Pearson correlations

Description

Computes a confidence interval for a difference in population Pearson correlations that are estimated from the same sample and have one variable in common. A bias adjustmentment is used to reduce the bias of each Fisher transformed correlation.

Usage

ci.cor.dep(alpha, cor1, cor2, cor12, n)

Arguments

alpha

alpha level for 1-alpha confidence

cor1

estimated Pearson correlation between y and x1

cor2

estimated Pearson correlation between y and x2

cor12

estimated Pearson correlation between x1 and x2

n

sample size

Value

Returns a 1-row matrix. The columns are:

References

Zou GY (2007). “Toward using confidence intervals to compare correlations.” Psychological Methods, 12(4), 399–413. ISSN 1939-1463, doi: 10.1037/1082-989X.12.4.399.

Examples

ci.cor.dep(.05, .396, .179, .088, 166)

# Should return:
#      Estimate         LL      UL
# [1,]    0.217 0.01323072 0.415802
 


[Package statpsych version 1.3.0 Index]