Description Usage Arguments Details Value Author(s) References Examples
Produces exact confidence intervals on quantiles corresponding to the stated probabilities, based on the binomial test.
1 | quantileCI(x, probs = 0.5, conf.level = 0.95)
|
x |
Numeric vector of observations. |
probs |
Numeric vector of cumulative probabilities between 0 and 1. |
conf.level |
Confidence level of the interval. |
If probs=0.5
(default), then a confidence interval on the population median is produced.
Confidence interval for each quantile based on probs
.
Steven T. Garren, James Madison University, Harrisonburg, Virginia, USA
Higgins, J. J. (2004) Introduction to Modern Nonparametric Statistics.
1 2 3 4 5 6 7 | # Sample 20 observations from an Exponential distribution with mean=10.
print( sort( x <- rexp( 20, 0.1 ) ) )
# Construct 90% confidence intervals on the 25th, 50th, and 75th percentiles.
quantileCI( x, c( 0.25, 0.5, 0.75 ), 0.9 )
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