ci.cqv {statpsych} | R Documentation |
Confidence interval for a coefficient of quartile variation
Description
Computes a distribution-free confidence interval for a population coefficient of quartile variation which is defined as (Q3 - Q1)/(Q3 + Q1) where Q1 is the 25th percentile and Q3 is the 75th percentile. The coefficient of quartile variation assumes ratio-scale scores and is a robust alternative to the coefficient of variation. The 25th and 75th percentiles are computed using the type = 2 method (SAS default).
Usage
ci.cqv(alpha, y)
Arguments
alpha |
alpha level for 1-alpha confidence |
y |
vector of scores |
Value
Returns a 1-row matrix. The columns are:
Estimate - estimated coefficient of quartile variation
SE - standard error
LL - lower limit of the confidence interval
UL - upper limit of the confidence interval
References
Bonett DG (2006). “Confidence interval for a coefficient of quartile variation.” Computational Statistics and Data Analysis, 50(11), 2953–2957. doi:10.1016/j.csda.2005.05.007.
Examples
y <- c(30, 20, 15, 10, 10, 60, 20, 25, 20, 30, 10, 5, 50, 40,
20, 10, 0, 20, 50)
ci.cqv(.05, y)
# Should return:
# Estimate SE LL UL
# 0.5 0.1552485 0.2617885 0.8841821