ci.cor.dep: Confidence interval for a difference in dependent Pearson...

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ci.cor.depR 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 adjustment is used to reduce the bias of each Fisher transformed correlation. An approximate standard error is recovered from the confidence interval.

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:

  • Estimate - estimated correlation difference

  • SE - recovered standard error

  • LL - lower limit of the confidence interval

  • UL - upper limit of the confidence interval

References

\insertRef

Zou2007statpsych

Examples

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

# Should return:
# Estimate        SE         LL       UL
#    0.217 0.1026986 0.01323072 0.415802
 


statpsych documentation built on Sept. 11, 2024, 7:42 p.m.