R: Points, jittered to reduce overplotting using the beeswarm...

geom_beeswarm {ggbeeswarm} | R Documentation

## Points, jittered to reduce overplotting using the beeswarm package

### Description

The beeswarm geom is a convenient means to offset points within categories to reduce overplotting. Uses the beeswarm package

### Usage

    geom_beeswarm(mapping = NULL, data = NULL, priority = c("ascending",
      "descending", "density", "random", "none"), cex = 1, groupOnX = NULL,
      dodge.width = 0, stat = "identity", na.rm = FALSE, show.legend = NA,
      inherit.aes = TRUE, ...)

### Arguments

`mapping` | Set of aesthetic mappings created by `aes` or `aes_`. If specified and `inherit.aes = TRUE` (the default), it is combined with the default mapping at the top level of the plot. You must supply `mapping` if there is no plot mapping.
`data` | The data to be displayed in this layer. There are three options: If `NULL`, the default, the data is inherited from the plot data as specified in the call to `ggplot`. A `data.frame`, or other object, will override the plot data. All objects will be fortified to produce a data frame. See `fortify` for which variables will be created. A `function` will be called with a single argument, the plot data. The return value must be a `data.frame.`, and will be used as the layer data.
`priority` | Method used to perform point layout (see `swarmx`)
`cex` | Scaling for adjusting point spacing (see `swarmx`)
`groupOnX` | if TRUE then jitter is added to the x axis and if FALSE jitter is added to the y axis. Prior to v0.6.0, the default NULL causes the function to guess which axis is the categorical one based on the number of unique entries in each. This could result in unexpected results when the x variable has few unique values and so in v0.6.0 the default was changed to always jitter on the x axis unless groupOnX=FALSE. Also consider `coord_flip`.
`dodge.width` | Amount by which points from different aesthetic groups will be dodged. This requires that one of the aesthetics is a factor.
`stat` | The statistical transformation to use on the data for this layer, as a string.
`na.rm` | If `FALSE`, the default, missing values are removed with a warning. If `TRUE`, missing values are silently removed.
`show.legend` | logical. Should this layer be included in the legends? `NA`, the default, includes if any aesthetics are mapped. `FALSE` never includes, and `TRUE` always includes.
`inherit.aes` | If `FALSE`, overrides the default aesthetics, rather than combining with them. This is most useful for helper functions that define both data and aesthetics and shouldn't inherit behaviour from the default plot specification, e.g. `borders`.
`...` | other arguments passed on to `layer`. These are often aesthetics, used to set an aesthetic to a fixed value, like `color = "red"` or `size = 3`. They may also be parameters to the paired geom/stat.

### Aesthetics

`geom_point` understands the following aesthetics (required aesthetics are in bold):

- `x`

- `y`

- `alpha`

- `colour`

- `fill`

- `group`

- `shape`

- `size`

- `stroke`

### See Also

`geom_quasirandom` an alternative method, `swarmx` how spacing is determined, `geom_point` for regular, unjittered points, `geom_jitter` for jittered points, `geom_boxplot` for another way of looking at the conditional distribution of a variable

### Examples

      ggplot2::qplot(class, hwy, data = ggplot2::mpg, geom='beeswarm')
      # Generate fake data
      distro <- data.frame(
        'variable'=rep(c('runif','rnorm'),each=100),
        'value'=c(runif(100, min=-3, max=3), rnorm(100))
      )
      ggplot2::qplot(variable, value, data = distro, geom='beeswarm')
      ggplot2::ggplot(distro,aes(variable, value)) +
        geom_beeswarm(priority='density',cex=2.5)

[Package ggbeeswarm version 0.6.0 Index]