Initialize a chart with three main parameters : data, mapping and type of chart.
Usage
apex(
data,
mapping,
type = "column",
...,
auto_update = TRUE,
synchronize = NULL,
serie_name = NULL,
width = NULL,
height = NULL,
elementId = NULL
)
Arguments
- data
Default dataset to use for chart. If not already a
data.frame
, it will be coerced to withas.data.frame
.- mapping
Default list of aesthetic mappings to use for chart
- type
Specify the chart type. Available options:
"column"
,"bar"
,"line"
,"step"
,"spline"
,"area"
,"area-step"
,"area-spline"
,"pie"
,"donut"
,"radialBar"
,"radar"
,"scatter"
,"heatmap"
,"treemap"
,"timeline"
,"dumbbell"
and"slope"
.- ...
Other arguments passed on to methods. Not currently used.
- auto_update
In Shiny application, update existing chart rather than generating new one. Can be
TRUE
/FALSE
or useconfig_update()
for more control.- synchronize
Give a common id to charts to synchronize them (tooltip and zoom).
- serie_name
Name for the serie displayed in tooltip, only used for single serie.
- width, height
A numeric input in pixels.
- elementId
Use an explicit element ID for the widget.
Value
An apexchart()
htmlwidget
object.
Examples
library(ggplot2)
library(apexcharter)
# make a barchart with a frequency table
data("mpg", package = "ggplot2")
apex(mpg, aes(manufacturer), type = "bar")
# timeseries
data("economics", package = "ggplot2")
apex(
data = economics,
mapping = aes(x = date, y = uempmed),
type = "line"
)
# you can add option to apex result :
apex(
data = economics,
mapping = aes(x = date, y = uempmed),
type = "line"
) %>%
ax_stroke(width = 1)
# with group variable
data("economics_long", package = "ggplot2")
apex(
data = economics_long,
mapping = aes(x = date, y = value01, group = variable),
type = "line"
)