View source: R/geom-text-wordcloud.R
geom_text_wordcloud | R Documentation |
geom_text_wordcloud
adds text to the plot using a variation of the
wordcloud2.js algorithm. The texts are layered around a spiral centred on
the original position. This geom is based on
geom_text_repel
which in turn is based on
geom_text
. See the documentation for those functions
for more details. By default, the font size is directly linked to the size
aesthetic. geom_text_wordcloud_area
is an alias, with a different set
of default, that chooses a font size so that the area of the text given by the label
aesthetic is linked to the size aesthetic. You can also specify a label_content aesthetic
that overrides the label after its has been used to choose the font size.
geom_text_wordcloud(
mapping = NULL,
data = NULL,
stat = "identity",
position = "identity",
...,
parse = FALSE,
nudge_x = 0,
nudge_y = 0,
eccentricity = 0.65,
rstep = 0.01,
tstep = 0.02,
perc_step = 0.01,
max_steps = 10,
grid_size = 4,
max_grid_size = 128,
grid_margin = 1,
xlim = c(NA, NA),
ylim = c(NA, NA),
seed = NA,
rm_outside = FALSE,
shape = "circle",
mask = NA,
area_corr = FALSE,
na.rm = FALSE,
show.legend = FALSE,
inherit.aes = TRUE,
show_boxes = FALSE,
use_richtext = TRUE
)
geom_text_wordcloud_area(
mapping = NULL,
data = NULL,
stat = "identity",
position = "identity",
...,
parse = FALSE,
nudge_x = 0,
nudge_y = 0,
eccentricity = 0.65,
rstep = 0.01,
tstep = 0.02,
perc_step = 0.01,
max_steps = 10,
grid_size = 4,
max_grid_size = 128,
grid_margin = 1,
xlim = c(NA, NA),
ylim = c(NA, NA),
seed = NA,
rm_outside = FALSE,
shape = "circle",
mask = NA,
area_corr = TRUE,
na.rm = FALSE,
show.legend = FALSE,
inherit.aes = TRUE,
show_boxes = FALSE,
use_richtext = TRUE
)
mapping |
Set of aesthetic mappings created by
|
data |
A data frame. If specified, overrides the default data frame defined at the top level of the plot. |
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. |
... |
other arguments passed on to
|
parse |
If |
nudge_x , nudge_y |
Horizontal and vertical adjustments to nudge the starting position of each text label. |
eccentricity |
eccentricity of the spiral. Default to .65 |
rstep |
relative wordcloud spiral radius increment after one full rotation. Default to .01. |
tstep |
wordcloud spiral angle increment at each step. Default to .02. |
perc_step |
parameter used to define the minimal distance between two successive candidate positions on the ellipse. Default to .01 |
max_steps |
maximum number of steps avoided thanks to this minimal criterion. Default to 10. Set to 1 to recover the previous behavior |
grid_size |
grid size used when creating the text bounding boxes. Default to 4 |
max_grid_size |
maximum size of the bounding boxes. Default to 128 |
grid_margin |
safety margin around the texts. Default to 1. |
xlim , ylim |
Limits for the x and y axes. Text labels will be constrained to these limits. By default, text labels are constrained to the entire plot area. |
seed |
Random seed passed to |
rm_outside |
Remove the texts that could not be fitted. Default to
|
shape |
select the shape of the clouds among |
mask |
a mask (or a list of masks) used to define a zone in which the
text should be placed. Each mask should be coercible to a raster in which
non full transparency defined the text zone. When a list of masks is given, the
mask_group aesthetic defines which mask is going to be used. Default to
|
area_corr |
Set the font size so that the area is proportional to size
aesthetic when the scale_size_area is used. As
this is not the classical choice, the default is |
na.rm |
Remove missing values if TRUE |
show.legend |
is set by default to |
inherit.aes |
Inherits aesthetics if TRUE |
show_boxes |
display the bounding boxes used in the placement algorithm is set
to |
use_richtext |
use the enhanced gridtext text grob instead of the grid one. Allow to
use markdown/html syntax in label. Default to |
a ggplot
set.seed(42)
data("love_words_latin_small")
ggplot(love_words_latin_small, aes(label = word, size = speakers)) +
geom_text_wordcloud() +
scale_size_area(max_size = 20) +
theme_minimal()
ggplot(love_words_latin_small, aes(label = word, size = speakers)) +
geom_text_wordcloud_area() +
scale_size_area(max_size = 20) +
theme_minimal()
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