midquantile: Mid-distribution Functions
In Qtools: Utilities for Quantiles

Description Usage Arguments Details Value Author(s) References

Compute mid-cumulative probabilities and mid-quantiles

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midecdf(x, na.rm = FALSE)
midquantile(x, probs = 1:3/4, na.rm = FALSE)
midquantile.ci(x, probs = 1:3/4, level = 0.95)

`x`	numeric vector of observations used to estimate the mid-cumulative distribution or the mid-quantiles.
`probs`	numeric vector of probabilities with values in [0,1].
`level`	level of the confidence intervals for mid-quantiles.
`na.rm`	logical value indicating whether NA values should be stripped before the computation proceeds.

Mid-distribution functions

Mid-cumulative probabilities and mid-quantiles

Marco Geraci

Ma Y., Genton M., and Parzen E. Asymptotic properties of sample quantiles of discrete distributions. Annals of the Institute of Statistical Mathematics 2011;63(2):227-243

Parzen E. Quantile probability and statistical data modeling. Statistical Science 2004;19(4):652-62.

Qtools documentation built on May 2, 2019, 6:09 p.m.