ci.cod1 {statpsych} | R Documentation |
Computes a confidence interval for a population coefficient of dispersion which is defined as a mean absolute deviation from the median divided by a median. The coefficient of dispersion assumes ratio-scale scores and is a robust alternative to the coefficient of variation.
ci.cod1(alpha, y)
alpha |
alpha level for 1-alpha confidence |
y |
vector of scores |
Returns a 1-row matrix. The columns are:
Estimate - estimated coefficient of dispersion
LL - lower limit of the confidence interval
UL - upper limit of the confidence interval
Bonett DG, Seier E (2006). “Confidence interval for a coefficient of dispersion in nonnormal distributions.” Biometrical Journal, 48(1), 144–148. ISSN 0323-3847, doi: 10.1002/bimj.200410148.
y <- c(30, 20, 15, 10, 10, 60, 20, 25, 20, 30, 10, 5, 50, 40, 20, 10, 0, 20, 50) ci.cod1(.05, y) # Should return: # Estimate LL UL # [1,] 0.5921053 0.3813259 1.092679