geom_crossbar {ggplot2} | R Documentation

## Vertical intervals: lines, crossbars & errorbars.

### Description

Various ways of representing a vertical interval defined by `x`, `ymin` and `ymax`.

### Usage

    geom_crossbar(mapping = NULL, data = NULL, stat = "identity",
      position = "identity", ..., fatten = 2.5, na.rm = FALSE,
      show.legend = NA, inherit.aes = TRUE)

    geom_errorbar(mapping = NULL, data = NULL, stat = "identity",
      position = "identity", ..., na.rm = FALSE, show.legend = NA,
      inherit.aes = TRUE)

    geom_linerange(mapping = NULL, data = NULL, stat = "identity",
      position = "identity", ..., na.rm = FALSE, show.legend = NA,
      inherit.aes = TRUE)

    geom_pointrange(mapping = NULL, data = NULL, stat = "identity",
      position = "identity", ..., fatten = 4, 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.

`stat` | The statistical transformation to use on the data for this layer, as a string.
`position` | Position adjustment, either as a string, or the result of a call to a position adjustment function.
`...` | 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.
`fatten` | A multiplicative factor used to increase the size of the middle bar in `geom_crossbar()` and the middle point in `geom_pointrange()`.
`na.rm` | If `FALSE` (the default), removes missing values with a warning. If `TRUE` silently removes missing values.
`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`.

### Aesthetics

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

- `x`

- `ymax`

- `ymin`

- `alpha`

- `colour`

- `linetype`

- `size`

### See Also

`stat_summary` for examples of these guys in use, `geom_smooth` for continuous analog

### Examples

    #' # Create a simple example dataset
    df <- data.frame(
      trt = factor(c(1, 1, 2, 2)),
      resp = c(1, 5, 3, 4),
      group = factor(c(1, 2, 1, 2)),
      upper = c(1.1, 5.3, 3.3, 4.2),
      lower = c(0.8, 4.6, 2.4, 3.6)
    )

    p <- ggplot(df, aes(trt, resp, colour = group))
    p + geom_linerange(aes(ymin = lower, ymax = upper))
    p + geom_pointrange(aes(ymin = lower, ymax = upper))
    p + geom_crossbar(aes(ymin = lower, ymax = upper), width = 0.2)
    p + geom_errorbar(aes(ymin = lower, ymax = upper), width = 0.2)

    # Draw lines connecting group means
    p +
      geom_line(aes(group = group)) +
      geom_errorbar(aes(ymin = lower, ymax = upper), width = 0.2)

    # If you want to dodge bars and errorbars, you need to manually
    # specify the dodge width
    p <- ggplot(df, aes(trt, resp, fill = group))
    p +
     geom_bar(position = "dodge", stat = "identity") +
     geom_errorbar(aes(ymin = lower, ymax = upper), position = "dodge", width = 0.25)

    # Because the bars and errorbars have different widths
    # we need to specify how wide the objects we are dodging are
    dodge <- position_dodge(width=0.9)
    p +
      geom_bar(position = dodge, stat = "identity") +
      geom_errorbar(aes(ymin = lower, ymax = upper), position = dodge, width = 0.25)

[Package ggplot2 version 2.1.0 Index]