Description Usage Arguments See Also Examples

View source: R/position_auto.R

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.

1 | ```
position_auto(jitter.width = 0.75, bw = "nrd0", scale = TRUE, seed = NA)
``` |

`jitter.width` |
The maximal width of the jitter |

`bw` |
The smoothing bandwidth to use in the case of sina jittering. See
the |

`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 |

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

1 2 3 4 5 6 7 8 9 10 11 12 | ```
# 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))
``` |

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