Split plot into multiple subplots

Usage

split_plot(
  plot,
  by,
  ncol = NULL,
  nrow = NULL,
  axes = "all",
  scales = "free",
  ...
)

Arguments

plot: A tidyplot generated with the function tidyplot().
by: Variable that should be used for splitting.
ncol, nrow: The number of columns and rows per page.
axes: Determines which axes will be drawn in case of fixed scales. When "margins" (default), axes will be drawn at the exterior margins. "all_x" and "all_y" will draw the respective axes at the interior panels too, whereas "all" will draw all axes at all panels.
scales: Should scales be fixed ("fixed", the default), free ("free"), or free in one dimension ("free_x", "free_y")?
...: Arguments passed on to the geom function.

Value

A tidyplot object.

Examples

# Before splitting
energy |>
  dplyr::filter(year %in% c(2005, 2010, 2015, 2020)) |>
  tidyplot(y = energy, color = energy_source) |>
  add_donut() |>
  adjust_size(width = 25, height = 25)


# Split by year
energy |>
  dplyr::filter(year %in% c(2005, 2010, 2015, 2020)) |>
  tidyplot(y = energy, color = energy_source) |>
  add_donut() |>
  adjust_size(width = 25, height = 25) |>
  split_plot(by = year)


# Change dimensions of subplots
energy |>
  dplyr::filter(year %in% c(2005, 2010, 2015, 2020)) |>
  tidyplot(y = energy, color = energy_source) |>
  add_donut() |>
  adjust_size(width = 15, height = 15) |>
  split_plot(by = year)


# Spread plots across multiple pages
energy |>
  dplyr::filter(year %in% c(2005, 2010, 2015, 2020)) |>
  tidyplot(y = energy, color = energy_source) |>
  add_donut() |>
  adjust_size(width = 25, height = 25) |>
  split_plot(by = year, ncol = 2, nrow = 1)
#> ✔ split_plot: split into 4 plots across 2 pages
#> [[1]]

#> 
#> [[2]]

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