Make a facetted strip plot

Make a facetted strip plot

Usage

make_strip_plot(
  df,
  ...,
  x = dummy,
  y = value,
  id = sample_id,
  group = abbr_unit,
  tooltip = label,
  language = "English"
)

Arguments

df

Data frame to plot.

...

Other arguments passed to graphics::points().

x

Column for x-axis. For these strip plots, we recommend using a dummy variable to act as a placeholder. Defaults to a column named dummy with only one value ("dummy") for all rows.

y

Column for y-axis. Defaults to value.

id

Column with unique identifiers for each sample to use as data_id for interactive plots. Defaults to sample_id.

group

Column to facet by. Defaults to abbr_unit.

tooltip

Column with tooltip labels for interactive plots.

language

Language of the footnote. "English" (default) or "Spanish".

Value

Facetted ggplot2 strip plots.

Examples

# Read in wrangled example plot data
df_plot_path <- soils_example("df_plot.RDS")
df_plot <- readRDS(df_plot_path)

# Subset df to just biological measurement group
df_plot_bio <- df_plot |>
  dplyr::filter(measurement_group == "biological")

# Make strip plot with all measurements and set scales based on
# the category column and then apply theme.

# NOTE: the plot gets piped into the `set_scales()` function, which gets
# added to `theme_facet_strip()`.

make_strip_plot(
  df_plot_bio,
  x = dummy,
  y = value,
  id = sample_id,
  group = abbr_unit,
  tooltip = label,
  color = category,
  size = category,
  alpha = category,
  shape = category
) |>
  set_scales() +
  theme_facet_strip(body_font = "sans")


# Example of strip plot without scales or theme functions
make_strip_plot(df_plot_bio)


# Example of strip plot with `x` set to the facet group instead of a
# dummy variable.
make_strip_plot(
  df_plot_bio,
  x = abbr_unit,
  y = value,
  id = sample_id,
  group = abbr_unit,
  tooltip = label,
  color = category,
  size = category,
  alpha = category,
  shape = category
) |>
  set_scales() +
  theme_facet_strip(body_font = "sans")