Add data points — add_data_points • tidyplots

Add data points

Usage

add_data_points(
  plot,
  data = all_rows(),
  shape = 19,
  size = 1,
  white_border = FALSE,
  dodge_width = NULL,
  preserve = "total",
  rasterize = FALSE,
  rasterize_dpi = 300,
  ...
)

add_data_points_jitter(
  plot,
  data = all_rows(),
  shape = 19,
  size = 1,
  white_border = FALSE,
  dodge_width = NULL,
  jitter_width = 0.2,
  jitter_height = 0,
  preserve = "total",
  rasterize = FALSE,
  rasterize_dpi = 300,
  ...
)

add_data_points_beeswarm(
  plot,
  data = all_rows(),
  shape = 19,
  size = 1,
  white_border = FALSE,
  cex = 3,
  corral = "wrap",
  corral.width = 0.5,
  dodge_width = NULL,
  preserve = "total",
  rasterize = FALSE,
  rasterize_dpi = 300,
  ...
)

Arguments

plot

A tidyplot generated with the function tidyplot().

data

The data to be displayed in this layer. There are three options:

If all_rows() (the default) the complete dataset is displayed.
A function to subset the plot data. See filter_rows() and friends.
A data.frame to override the plot data.

shape

An integer between 0 and 24, representing the shape of the plot symbol.

size

A number representing the size of the plot symbol. Typical values range between 1 and 3.

white_border

Whether to include a white border around data points. Defaults to FALSE.

dodge_width

For adjusting the distance between grouped objects. Defaults to 0.8 for plots with at least one discrete axis and 0 for plots with two continuous axes.

preserve

Should dodging preserve the "total" width of all elements at a position, or the width of a "single" element?

rasterize

If FALSE (the default) the layer will be constructed of vector shapes. If TRUE the layer will be rasterized to a pixel image. This can be useful when plotting many individual objects (1,000 or more) compromises the performance of the generated PDF file.

rasterize_dpi

The resolution in dots per inch (dpi) used for rastering the layer if rasterize is TRUE. The default is 300 dpi.

...

Arguments passed on to the geom function.

jitter_width

Amount of random noise to be added to the horizontal position of the of the data points. This can be useful to deal with overplotting. Typical values range between 0 and 1.

jitter_height

Amount of random noise to be added to the vertical position of the of the data points. This can be useful to deal with overplotting. Typical values range between 0 and 1.

cex

Scaling for adjusting point spacing (see beeswarm::swarmx()). Values between 1 (default) and 3 tend to work best.

corral

string. Method used to adjust points that would be placed to wide horizontally, default is "none". See details below.

corral.width

numeric. Width of the corral, default is 0.9.

Value

A tidyplot object.

Details

add_data_points_beeswarm() is based on ggbeeswarm::geom_beeswarm(). Check there for additional arguments.
add_data_points() and friends support rasterization. See examples and Advanced plotting.
add_data_points() and friends support data subsetting. See examples and Advanced plotting.

Examples

study %>%
  tidyplot(x = treatment, y = score, color = treatment) %>%
  add_data_points()


study %>%
  tidyplot(x = treatment, y = score, color = treatment) %>%
  add_data_points_jitter()


study %>%
  tidyplot(x = treatment, y = score, color = treatment) %>%
  add_data_points_beeswarm()


# Changing arguments
study %>%
  tidyplot(x = treatment, y = score, color = treatment) %>%
  add_data_points_jitter(jitter_width = 1)


animals %>%
  tidyplot(x = weight, y = size) %>%
  add_data_points(white_border = TRUE)


animals %>%
  tidyplot(x = weight, y = size) %>%
  add_data_points(alpha = 0.4)


# Rasterization
animals %>%
  tidyplot(x = weight, y = size) %>%
  add_data_points(rasterize = TRUE, rasterize_dpi = 50)


# Data subsetting
animals %>%
  tidyplot(x = weight, y = size) %>%
  add_data_points() %>%
  add_data_points(data = filter_rows(size > 300), color = "red")