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 and y is used instead
of ymax.
gf_errorbar(
object = NULL,
gformula = NULL,
data = NULL,
...,
alpha,
color,
group,
linetype,
size,
xlab,
ylab,
title,
subtitle,
caption,
geom = "errorbar",
stat = "identity",
position = "identity",
show.legend = NA,
show.help = NULL,
inherit = TRUE,
environment = parent.frame()
)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.
A formula with shape ymin + ymax ~ x.
Faceting can be achieved by including | in the formula.
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. A function can be created
from a formula (e.g. ~ head(.x, 10)).
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.
Opacity (0 = invisible, 1 = opaque).
A color or a formula used for mapping color.
Used for grouping.
A linetype (numeric or "dashed", "dotted", etc.) or a formula used for mapping linetype.
A numeric size or a formula used for mapping size.
Label for x-axis. See also gf_labs().
Label for y-axis. See also gf_labs().
Title, sub-title, and caption for the plot.
See also gf_labs().
A character string naming the geom used to make the layer.
The statistical transformation to use on the data for this layer, as a string.
Position adjustment, either as a string, or the result of a call to a position adjustment function.
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.
It can also be a named logical vector to finely select the aesthetics to
display.
If TRUE, display some minimal help.
A logical indicating whether default attributes are inherited.
An environment in which to look for variables not found in data.
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,
inherit = FALSE) %>%
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, inherit = FALSE) %>%
gf_facet_grid(~sex)
gf_jitter(age ~ substance, data = HELPrct,
alpha = 0.5, width = 0.2, height = 0, color = "skyblue") %>%
gf_boxplot(age ~ substance, data = HELPrct, color = "red") %>%
gf_crossbar(mean.age + lo + hi ~ substance, data = HELP2) %>%
gf_facet_grid(~sex)
}
#> `summarise()` has grouped output by 'substance'. You can override using the
#> `.groups` argument.