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.
Value
Returns a 1-row matrix. The columns are:
Estimate - estimated correlation (from input)
SE - standard error
LL - lower limit of the confidence interval
UL - upper limit of the confidence interval