Bioenergetic Scope Plot — bioscope

Generate the Bioenergetic Scope Plot

Usage

bioscope_plot(
  energetics,
  error_bar = "ci",
  conf_int = 0.95,
  size = 2,
  basal_shape = 1,
  max_shape = 19,
  group_label = "Experimental Group"
)

Arguments

energetics: A table of calculated glycolysis and OXPHOS rates. Returned by get_energetics
error_bar: Whether to plot error bars as standard deviation ("sd") or confidence intervals ("ci")
conf_int: The confidence interval percentage. Should be between 0 and 1
size: Size of the points
basal_shape: Shape of the points for basal values
max_shape: Shape of the points for max values
group_label: Label for the experimental group to populate the legend title
bioscope_plot: Creates a 2D plot visualizing the mean and standard deviation basal and maximal ATP production from glycolysis and OXPHOS for each experimental group

Value

a ggplot

Examples

rep_list <- system.file("extdata", package = "ceas") |>
  list.files(pattern = "*.xlsx", full.names = TRUE)
seahorse_rates <- read_data(rep_list, sheet = 2)
partitioned_data <- partition_data(seahorse_rates)
energetics <- get_energetics(
  partitioned_data,
  ph = 7.4,
  pka = 6.093,
  buffer = 0.1
)
bioscope_plot(energetics)


# to change fill, the geom_point shape should be between 15 and 20.
# These shapes are filled without border and will correctly show on the legend.
bioscope_plot(energetics, size = 3, basal_shape = 2, max_shape = 17) + # empty and filled triangle
  ggplot2::scale_fill_manual(
    values = c("#e36500", "#b52356", "#3cb62d", "#328fe1")
  )


# to change color, use ggplot2::scale_color_manual
bioscope_plot(energetics) +
  ggplot2::scale_color_manual(
    values = c("#e36500", "#b52356", "#3cb62d", "#328fe1")
  )