ggformula (version 0.7.0)

gf_linerange: Formula interface to geom_linerange() and geom_pointrange()

Description

For each x value, geom_ribbon displays a y interval defined by ymin and ymax. geom_area is a special case of geom_ribbon, where the ymin is fixed to 0.

Usage

gf_linerange(object = NULL, gformula = NULL, data = NULL, alpha, color,
  group, linetype, size, xlab, ylab, title, subtitle, caption,
  geom = "linerange", stat = "identity", position = "identity",
  show.legend = NA, show.help = NULL, inherit = TRUE,
  environment = parent.frame(), ...)
gf_pointrange(object = NULL, gformula = NULL, data = NULL, alpha, color,
  group, linetype, size, fatten = 2, xlab, ylab, title, subtitle, caption,
  geom = "pointrange", stat = "identity", position = "identity",
  show.legend = NA, show.help = NULL, inherit = TRUE,
  environment = parent.frame(), ...)

Arguments

object

When chaining, this holds an object produced in the earlier portions of the chain. Most users can safely ignore this argument. See details and examples.

gformula

A formula with shape ymin + ymax ~ x. Faceting can be achieved by including | in the formula.

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.

alpha

Opacity (0 = invisible, 1 = opaque).

color

A color or a formula used for mapping color.

group

Used for grouping.

linetype

A linetype (numeric or "dashed", "dotted", etc.) or a formula used for mapping linetype.

size

A numeric size or a formula used for mapping size.

xlab

Label for x-axis. See also gf_labs().

ylab

Label for y-axis. See also gf_labs().

title

Title, sub-title, and caption for the plot. See also gf_labs().

subtitle

Title, sub-title, and caption for the plot. See also gf_labs().

caption

Title, sub-title, and caption for the plot. See also gf_labs().

geom

A character string naming the geom used to make the layer.

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.

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.

show.help

If TRUE, display some minimal help.

inherit

A logical indicating whether default attributes are inherited.

environment

An environment in which to look for variables not found in data.

...

Additional arguments. Typically these are (a) ggplot2 aesthetics to be set with attribute = value, (b) ggplot2 aesthetics to be mapped with attribute = ~expression, or (c) attributes of the layer as a whole, which are set with attribute = value.

fatten

A multiplicative factor used to increase the size of the middle bar in geom_crossbar() and the middle point in geom_pointrange().

See Also

ggplot2::geom_linerange()

ggplot2::geom_pointrange()

Examples

# NOT RUN {
gf_linerange()

if (require(mosaicData)) {
gf_ribbon(low_temp + high_temp ~ date, data = Weather,
          fill = ~ city, alpha = 0.4) %>%
   gf_theme(theme = theme_minimal())
gf_linerange(
  low_temp + high_temp ~ date | city ~ ., data = Weather,
  color = ~ ((low_temp + high_temp) / 2) ) %>%
  gf_refine(scale_colour_gradientn(colors = rev(rainbow(5)))) %>%
  gf_labs(color = "mid-temp")

gf_ribbon(low_temp + high_temp ~ date | city ~ ., data = Weather)

# Chaining in the data
Weather %>%
  gf_ribbon(low_temp + high_temp ~ date, alpha = 0.4) %>%
  gf_facet_grid(city ~ .)
}

if (require(mosaicData) && require(dplyr)) {
HELP2 <- HELPrct %>%
  group_by(substance, sex) %>%
  summarise(
    mean.age = mean(age),
    median.age = median(age),
    max.age = max(age),
    min.age = min(age),
    sd.age = sd(age),
    lo = mean.age - sd.age,
    hi = mean.age + sd.age
    )

  gf_jitter(age ~ substance, data = HELPrct,
      alpha = 0.5, width = 0.2, height = 0, color = "skyblue") %>%
    gf_pointrange( mean.age + lo + hi ~ substance,  data = HELP2) %>%
    gf_facet_grid( ~ sex)
  gf_jitter(age ~ substance, data = HELPrct,
      alpha = 0.5, width = 0.2, height = 0, color = "skyblue") %>%
    gf_errorbar( lo + hi ~ substance,  data = HELP2) %>%
    gf_facet_grid( ~ sex)
 # width is defined differently for gf_boxplot() and gf_jitter()
 #   * for gf_boxplot() it is the full width of the box.
 #   * for gf_jitter() it is half that -- the maximum amount added or subtracted.
 gf_boxplot(age ~ substance, data = HELPrct, width = 0.4) %>%
   gf_jitter(width = 0.4, height = 0, color = "skyblue", alpha = 0.5)
 gf_boxplot(age ~ substance, data = HELPrct, width = 0.4) %>%
   gf_jitter(width = 0.2, height = 0, color = "skyblue", alpha = 0.5)
}
# }