ggquantile {ggplot} | R Documentation

## Grob function: quantiles

### Description

Add quantile lines from a quantile regression

### Usage

    ggquantile(plot = .PLOT, aesthetics=list(), ..., data=plot$data)

### Arguments

`plot` | the plot object to modify
`aesthetics` | named list of aesthetic mappings, see details for more information
`...` | other options, see details for more information
`data` | data source, if not specified the plot default will be used

### Details

This can be used a continuous analogue of a boxplot (see `grob_boxplot`) Lines will be automatically sized to reflect their distance from the median.

Aesthetic mappings that this grob function understands:

- x: x position (required)
- y: y position (required)

These can be specified in the plot defaults (see `ggplot`) or in the `aesthetics` argument. If you want to modify the position of the points or any axis options, you will need to add a position scale to the plot. These functions start with `ps`, eg. `pscontinuous` or `pscategorical`

Other options:

- quantiles: quantiles to display
- formula: formula to use in quantile regression
- colour: colour of lines

### Author(s)

Hadley Wickham <h.wickham@gmail.com>

### See Also

`rq` for the code used to fit the quantile regression

### Examples

    m <- ggplot(movies, aesthetics=list(y=length, x=rating))
    ggquantile(gghexagon(m))

[Package ggplot version 0.2.2 Index]