gf_ribbon | R Documentation |
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_ribbon( object = NULL, gformula = NULL, data = NULL, ..., alpha = 0.3, xlab, ylab, title, subtitle, caption, geom = "ribbon", stat = "identity", position = "identity", show.legend = NA, show.help = NULL, inherit = TRUE, environment = parent.frame() )
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 |
data |
The data to be displayed in this layer. There are three options: If A A |
... |
Additional arguments. Typically these are
(a) ggplot2 aesthetics to be set with |
alpha |
Opacity (0 = invisible, 1 = opaque). |
xlab |
Label for x-axis. See also |
ylab |
Label for y-axis. See also |
title, subtitle, caption |
Title, sub-title, and caption for the plot.
See also |
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?
|
show.help |
If |
inherit |
A logical indicating whether default attributes are inherited. |
environment |
An environment in which to look for variables not found in |
ggplot2::geom_ribbon()
gf_ribbon() gf_ribbon(low_temp + high_temp ~ date, data = mosaicData::Weather, fill = ~city, alpha = 0.4) %>% gf_theme(theme = theme_minimal()) gf_linerange( low_temp + high_temp ~ date | city ~ ., color = ~high_temp, data = mosaicData::Weather ) %>% gf_refine(scale_colour_gradientn(colors = rev(rainbow(5)))) gf_ribbon(low_temp + high_temp ~ date | city ~ ., data = mosaicData::Weather) # Chaining in the data mosaicData::Weather %>% gf_ribbon(low_temp + high_temp ~ date, alpha = 0.4) %>% gf_facet_grid(city ~ .)
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