ci.cor {statpsych} | R Documentation |
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 adjustment 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
Snedecor GW, Cochran WG (1989). Statistical Methods, 8th edition. ISU University Pres, Ames, Iowa.
Examples
ci.cor(.05, .536, 0, 50)
# Should return:
# Estimate SE LL UL
# 0.536 0.1018149 0.2978573 0.7058914
[Package statpsych version 1.6.0 Index]