# Rq

From rms v2.0-2
by Frank E Harrell Jr

##### rms Package Interface to quantreg Package

The `Rq`

function is the `rms`

front-end to the
`quantreg`

package's `rq`

function. `print`

and
`latex`

methods are also provided, and a fitting function
`RqFit`

is defined for use in bootstrapping, etc. Its result is a
function definition.

- Keywords
- models, nonparametric

##### Usage

```
Rq(formula, tau = 0.5, data, subset, weights, na.action=na.delete,
method = "br", model = FALSE, contrasts = NULL,
se = "nid", hs = TRUE, x = FALSE, y = FALSE, ...)
```## S3 method for class 'Rq':
print(x, digits=4, \dots)

## S3 method for class 'Rq':
latex(object,
file = paste(first.word(deparse(substitute(object))),
".tex", sep = ""), append=FALSE,
which, varnames, columns=65, inline=FALSE, caption=NULL,
...)

RqFit(fit, wallow=TRUE, passdots=FALSE)

##### Arguments

- formula
- model formula
- tau
- the single quantile to estimate. Unlike
`rq`

you cannot estimate more than one quantile at one model fitting. - data
- subset
- weights
- na.action
- method
- model
- contrasts
- se
- hs
- see
`rq`

- x
- set to
`TRUE`

to store the design matrix with the fit. For`print`

is an`Rq`

object. - y
- set to
`TRUE`

to store the response vector with the fit - ...
- other arguments passed to one of the
`rq`

fitting routines. For`latex.Rq`

these are optional arguments passed to`latexrms`

. Ignored for`print.Rq`

. - digits
- number of significant digits used in formatting results in
`print.Rq`

. - object
- an object created by
`Rq`

- file
- append
- which
- varnames
- columns
- inline
- caption
- see
`latexrms`

- fit
- an object created by
`Rq`

- wallow
- set to
`TRUE`

if`weights`

are allowed in the current context. - passdots
- set to
`TRUE`

if ...may be passed to the fitter

##### Value

`Rq`

returns a list of class`"rms", "lassorq"`

or`"scadrq", "Rq"`

, and`"rq"`

.`RqFit`

returns a function definition.`latex.Rq`

returns an object of class`"latex"`

.

##### Note

The author and developer of methodology in the `quantreg`

package
is Roger Koenker.

##### See Also

##### Examples

```
set.seed(1)
n <- 30
y <- rnorm(n)
x1 <- rnorm(n)
w <- runif(n)
x1[2] <- NA
dd <- datadist(x1); options(datadist='dd')
f <- Rq(y ~ pol(x1,2))
anova(f)
plot(Predict(f, x1=.))
```

*Documentation reproduced from package rms, version 2.0-2, License: GPL (>= 2)*

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