# 71_quantile-based_summaries: Order-Based Summary Statistics In probhat: Multivariate Generalized Kernel Smoothing and Related Statistical Methods

## Description

Compute named sequential quantiles, primarily for producing summary-style output.

## Usage

 ```1 2 3 4 5 6 7 8``` ```ntile.names (n, symbol="q", ..., emph = n / 2) quartiles (xf, col=FALSE, ..., prob=FALSE, names = ntile.names (4, "Q", emph=emph), emph=2) deciles (xf, col=FALSE, ..., prob=FALSE, names = ntile.names (10, "D", emph=emph), emph=5) ntiles (n, xf, col=FALSE, ..., prob=FALSE, names) ```

## Arguments

 `n` Integer, the number of sequential quantiles. `symbol` String, letter/symbol for the quantile names. `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. `col` Logical, if true, return a single-column matrix. `prob` Logical, if false (the default), name quantiles by index/names, if true, name quantiles by probability. `names` Character vector, giving the names. Ignored, if rank is false. `emph` In principle, an integer vector in 1:(n-1), which quantiles to emphasize. Can also be a numeric vector, but the floor/ceiling values are used. `...` Other arguments. Refer to details.

## 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.

## Value

ntiles.names returns a character vector.

The other functions return a named numeric vector (if col=FALSE), or a named single-column matrix (if col=TRUE).

## References

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

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

probmv, rng

ph.mean, moment
ph.median, ph.quantile
ph.mode, ph.modes

## Examples

 ```1 2 3 4 5 6 7``` ```prep.ph.data () cFht <- qfuv.cks (height) quartiles (cFht) quartiles (cFht, prob=TRUE) quartiles (height) ```

probhat documentation built on May 12, 2021, 5:08 p.m.