ci.spear2 {statpsych} | R Documentation |
Computes a confidence interval for a difference in population Spearman correlations in a 2-group design.
ci.spear2(alpha, cor1, cor2, n1, n2)
alpha |
alpha level for 1-alpha confidence |
cor1 |
estimated Spearman correlation for group 1 |
cor2 |
estimated Spearman correlation for group 2 |
n1 |
sample size for group 1 |
n2 |
sample size for group 2 |
Returns a 1-row matrix. The columns are:
Estimate - estimated correlation difference
LL - lower limit of the confidence interval
UL - upper limit of the confidence interval
Bonett DG, Wright TA (2000). “Sample size requirements for estimating Pearson, Kendall and Spearman correlations.” Psychometrika, 65(1), 23–28. ISSN 0033-3123, doi: 10.1007/BF02294183.
Zou GY (2007). “Toward using confidence intervals to compare correlations.” Psychological Methods, 12(4), 399–413. ISSN 1939-1463, doi: 10.1037/1082-989X.12.4.399.
ci.spear2(.05, .54, .48, 180, 200) # Should return: # Estimate LL UL # [1,] 0.06 -0.1003977 0.2185085