ci.cor2: Confidence interval for a 2-group Pearson correlation...

In statpsych: Statistical Methods for Psychologists

Confidence interval for a 2-group Pearson correlation difference

Description

Computes a confidence interval for a difference in population Pearson correlations in a 2-group design. A bias adjustmentment is used to reduce the bias of each Fisher transformed correlation.

Usage

ci.cor2(alpha, cor1, cor2, n1, n2)

Arguments

alpha	alpha level for 1-alpha confidence
cor1	estimated Pearson correlation in group 1
cor2	estimated Pearson correlation in group 2
n1	sample size for group 1
n2	sample size for group 2

Value

Returns a 1-row matrix. The columns are:

• Estimate - estimated correlation difference

• SE - standard error

• LL - lower limit of the confidence interval

• UL - upper limit of the confidence interval

References

\insertRef

Zou2007statpsych

Examples

ci.cor2(.05, .886, .802, 200, 200)

# Should return:
#      Estimate         SE         LL        UL
# [1,]    0.084 0.02967934 0.02803246 0.1463609
 

statpsych documentation built on July 9, 2023, 6:50 p.m.