ci.spear {statpsych} | R Documentation |
Computes a Fisher confidence interval for a population Spearman correlation.
ci.spear(alpha, y, x)
alpha |
alpha level for 1-alpha confidence |
y |
vector of y scores |
x |
vector of x scores (paired with y) |
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
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.
y <- c(21, 4, 9, 12, 35, 18, 10, 22, 24, 1, 6, 8, 13, 16, 19) x <- c(67, 28, 30, 28, 52, 40, 25, 37, 44, 10, 14, 20, 28, 40, 51) ci.spear(.05, y, x) # Should return: # Estimate SE LL UL # [1,] 0.8699639 0.08241326 0.5840951 0.9638297