ci.cor: Confidence interval for a Pearson or partial correlation

In statpsych: Statistical Methods for Psychologists

Confidence interval for a Pearson or partial correlation

Description

Computes a Fisher confidence interval for a population Pearson correlation or partial correlation with s control variables. Set s = 0 for a Pearson correlation. A bias adjustmentment is used to reduce the bias of the Fisher transformed correlation. This function uses an estimated correlation as input. Use the cor.test function for raw data input.

Usage

ci.cor(alpha, cor, s, n)

Arguments

alpha	alpha level for 1-alpha confidence
cor	estimated Pearson or partial correlation
s	number of control variables
n	sample size

Value

Returns a 1-row matrix. The columns are:

• Estimate - estimated correlation

• SE - standard error

• LL - lower limit of the confidence interval

• UL - upper limit of the confidence interval

References

\insertRef

Snedecor1980statpsych

Examples

ci.cor(.05, .536, 0, 50)

# Should return:
# Estimate        SE        LL        UL
#    0.536 0.1018149 0.2978573 0.7058914
 

statpsych documentation built on June 22, 2024, 6:51 p.m.