R: Jitter based on scale types

position_auto {ggforce} | R Documentation

## Jitter based on scale types

### Description

This position adjustment is able to select a meaningful jitter of the data based on the combination of positional scale types. IT behaves differently depending on if none, one, or both the x and y scales are discrete. If both are discrete it will jitter the datapoints evenly inside a disc, if one of them is discrete it will jitter the discrete dimension to follow the density along the other dimension (like a sina plot). If neither are discrete it will not do any jittering.

### Usage

    position_auto(jitter.width = 0.75, bw = "nrd0", scale = TRUE, seed = NA)

### Arguments

`jitter.width` | The maximal width of the jitter
`bw` | The smoothing bandwidth to use in the case of sina jittering. See the `bw` argument in stats::density
`scale` | Should the width of jittering be scaled based on the number of points in the group
`seed` | A seed to supply to make the jittering reproducible across layers

### See Also

geom_autopoint for a point geom that uses auto-position by default

### Examples

    # Continuous vs continuous: No jitter
    ggplot(mpg) + geom_point(aes(cty, hwy), position = 'auto')

    # Continuous vs discrete: sina jitter
    ggplot(mpg) + geom_point(aes(cty, drv), position = 'auto')

    # Discrete vs discrete: disc-jitter
    ggplot(mpg) + geom_point(aes(fl, drv), position = 'auto')

    # Don't scale the jitter based on group size
    ggplot(mpg) + geom_point(aes(cty, drv), position = position_auto(scale = FALSE))
    ggplot(mpg) + geom_point(aes(fl, drv), position = position_auto(scale = FALSE))

[Package ggforce version 0.3.3 Index]