quantileSE {broman} | R Documentation |

## Sample quantiles and their standard errors

### Description

Calculate sample quantiles and their estimated standard errors.

### Usage

```
quantileSE(x, p = 0.95, bw = NULL, na.rm = TRUE, names = TRUE)
```

### Arguments

`x` |
Numeric vector whose sample quantiles are wanted. |

`p` |
Numeric vector with values in the interval [0,1] |

`bw` |
Bandwidth to use in the density estimation. |

`na.rm` |
Logical; if true, and |

`names` |
Logical; if true, the column names of the result is set to
the values in |

### Details

The sample quantiles are calculated with the function
`stats::quantile()`

.
Standard errors are obtained by the asymptotic approximation described
in Cox and Hinkley (1974). Density values are estimated using a
kernel density estimate with the function `stats::density()`

.

### Value

A matrix of size 2 x `length(p)`

. The first row contains the
estimated quantiles; the second row contains the corresponding
estimated standard errors.

### See Also

`stats::quantile()`

, `stats::density()`

### Examples

```
quantileSE(rchisq(1000,4), c(0.9,0.95))
```

*broman*version 0.84 Index]