probhat (version 0.3.1)

75_robust-based_statistics: Robust Statistics

Description

Compute robust statistics from probability distributions.

Usage

ph.median (xf, …)
ph.quantile (xf, p, …)
iqr (xf, P=0.5, …)

Arguments

xf

A numeric vector, suitable function object, or an object that can be coerced to a numeric vector. Here, a suitable function object is a quantile function. Refer to the references and see also sections.

P, p

Numeric vectors, the probabilities. P is the area (probability) between the lower and upper limits.

…

Other arguments. Refer to the details section.

Value

ph.median returns a single numeric value.

The other functions return a numeric vector.

Details

If xf is a numeric vector, a qfuv.el object is created using xf as the main argument. Any arguments contained within …, are passed to the qfuv.el constructor.

If xf is not a quantile function, these functions try to coerce it to a numeric vector, and apply the above.

References

Refer to the vignette for an overview, references and better examples.

See Also

Succinct Constructors Discrete Kernel Smoothing, Continuous Kernel Smoothing, Empirical-Like Distributions

probmv, rng

ph.mean, moment quartiles, ntiles ph.mode, ph.modes

Examples

# NOT RUN {
ph.data.prep ()

cFht <- qfuv.cks (height)

cFht (0.5)
ph.median (cFht)

iqr (cFht)
# }