Mark points and lines.
Usage
e_mark_point(
e,
serie = NULL,
data = NULL,
...,
title = NULL,
title_position = NULL
)
e_mark_line(
e,
serie = NULL,
data = NULL,
...,
title = NULL,
title_position = NULL
)
e_mark_area(
e,
serie = NULL,
data = NULL,
...,
title = NULL,
title_position = NULL
)
Arguments
- e
An
echarts4r
object as returned bye_charts
or a proxy as returned byecharts4rProxy
.- serie
Serie or vector of series to mark on, defaults to all series.
- data
Placement of point, line or area.
- ...
Any other option to pass, check See Also section.
- title
A convenience argument to easily set label, see details.
- title_position
Position of title.
Details
To set a label you need to either use the title
argument or pass a list specifying the label formatter.
label = list(formatter = "label")
. The former is more convenient
but more limited, e.g.: you cannot specify the placement of the label.
When the e_mark
series function is used with e_timeline
at the
same time, if the number of marks provided does not match the series, the
mark information will follow the setting of the previous frame.
Examples
max <- list(
name = "Max",
type = "max"
)
min <- list(
name = "Min",
type = "min"
)
avg <- list(
type = "average",
name = "AVG"
)
mtcars |>
e_charts(mpg) |>
e_line(wt) |>
e_line(drat) |>
e_line(cyl) |>
e_mark_point("wt", data = max) |>
e_mark_point(c("cyl", "drat"), data = min) |>
e_mark_line(data = avg) |> # applies to all
e_mark_area(
serie = "wt",
data = list(
list(xAxis = "min", yAxis = "min"),
list(xAxis = "max", yAxis = "max")
)
)
# Serie options, since the mark of "virginica" is not set, the mark setting
# of the previous frame is used
iris |>
group_by(Species) |>
e_charts(Sepal.Length, timeline = TRUE) |>
e_line(Sepal.Width) |>
e_timeline_serie(
title = list(
list(text = "setosa"),
list(text = "versicolor"),
list(text = "virginica")
)
) |>
e_mark_area(
serie = "setosa",
data = list(
list(xAxis = 4, yAxis = 2),
list(xAxis = 6, yAxis = 4.5)
),
itemStyle = list(color = "lightgreen")
) |>
e_mark_area(
serie = "versicolor",
data = list(
list(xAxis = 4.5),
list(xAxis = 7)
),
itemStyle = list(color = "lightblue")
)