Description Usage Arguments Value References Examples
Z-transforms correlation coefficients (Pearson or Spearman) and then calculates the difference in z-scores between the two conditions divided by the square root of the standard errors (which is inversely proportion to the sample sizes used to calculate the correlations).
1 | dCorrs(rho1, n1, rho2, n2, corrType = "pearson")
|
rho1 |
Numeric vector of correlation coefficients in condition 1. |
n1 |
Numeric vector of the number of samples used in the correlation calculations in condition 1. |
rho2 |
Numeric vector of correlation coefficients in condition 2. |
n2 |
Numeric vector of the number of samples used in the correlation calculations in condition 2. |
corrType |
The correlation type of the analysis, limited to "pearson" or "spearman". |
Numeric vector with scaled difference in z-scores of correlations between the two conditions.
Tests For Rank Correlation Coefficients, I. http://biomet.oxfordjournals.org/content/44/3-4/470.full.pdf+html
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