This function is used to insert lollipop charts into flextable with functions:
It is now deprecated and will be soon defunct because we
think it produces ugly results. Use gg_chunk()
to
replace it.
Usage
lollipop(
value,
min = NULL,
max = NULL,
rangecol = "#CCCCCC",
bg = "transparent",
width = 1,
height = 0.2,
unit = "in",
raster_width = 30,
positivecol = "#00CC00",
negativecol = "#CC0000",
neutralcol = "#CCCCCC",
neutralrange = c(0, 0),
rectanglesize = 2
)
Arguments
- value
values containing the bar size
- min
min bar size. Default min of value
- max
max bar size. Default max of value
- rangecol
bar color
- bg
background color
- width, height
size of the resulting png file in inches
- unit
unit for width and height, one of "in", "cm", "mm".
- raster_width
number of pixels used as width
- positivecol
box color of positive values
- negativecol
box color of negative values
- neutralcol
box color of neutral values
- neutralrange
minimal and maximal range of neutral values (default: 0)
- rectanglesize
size of the rectangle (default: 2, max: 5) when interpolating value.
Note
This chunk option requires package officedown in a R Markdown context with Word output format.
PowerPoint cannot mix images and text in a paragraph, images are removed when outputing to PowerPoint format.
See also
Other chunk elements for paragraph:
as_b()
,
as_bracket()
,
as_chunk()
,
as_equation()
,
as_highlight()
,
as_i()
,
as_image()
,
as_sub()
,
as_sup()
,
as_word_field()
,
colorize()
,
gg_chunk()
,
grid_chunk()
,
hyperlink_text()
,
linerange()
,
minibar()
,
plot_chunk()
Examples
iris$Sepal.Ratio <- (iris$Sepal.Length - mean(iris$Sepal.Length)) / mean(iris$Sepal.Length)
ft <- flextable(tail(iris, n = 10))
ft <- compose(ft,
j = "Sepal.Ratio", value = as_paragraph(
lollipop(value = Sepal.Ratio, min = -.25, max = .25)
),
part = "body"
)
#> Warning: lollipop function is deprecated as authors don't like the result, please open an issue if you are using it.
ft <- autofit(ft)
ft
Sepal.Length
Sepal.Width
Petal.Length
Petal.Width
Species
Sepal.Ratio
6.7
3.1
5.6
2.4
virginica

6.9
3.1
5.1
2.3
virginica

5.8
2.7
5.1
1.9
virginica

6.8
3.2
5.9
2.3
virginica

6.7
3.3
5.7
2.5
virginica

6.7
3.0
5.2
2.3
virginica

6.3
2.5
5.0
1.9
virginica

6.5
3.0
5.2
2.0
virginica

6.2
3.4
5.4
2.3
virginica

5.9
3.0
5.1
1.8
virginica
