Make a plot of coefficient of variation over time

plot_cv_data() enables you to save a plot of the coefficient of variation in evoked current amplitudes over time.

Usage

plot_cv_data(
  data,
  plot_treatment = "Control",
  treatment_colour_theme,
  theme_options,
  save_plot_png = "no"
)

Arguments

data

A dataframe of the pruned current data for all cells. This is the third dataframe in the list generated from make_pruned_EPSC_data().

plot_treatment

A character value specifying the treatment you would like to plot (e.g. "Control"). plot_treatment represents antagonists that were present on the brain slice, or the animals were fasted, etc.

treatment_colour_theme

A dataframe containing treatment names and their associated colours as hex values. See sample_treatment_names_and_colours for an example of what this dataframe should look like.

theme_options

A dataframe containing theme options. See sample_theme_options for an example of what this dataframe should look like.

save_plot_png

A character ("yes" or "no"). If "yes", the plot will be saved as a .png using ggsave. The filepath depends on the current type, but they will all go in subfolders below Figures/ in your project directory.

Value

A ggplot object. If save_plot_png == "yes" it will also generate a .png file in the folder Figures/Evoked-currents/CV relative to the project directory. The treatment will be included with the filename.

See also

plot_variance_comparison_data() to make plots of inverse coefficient of variation squared and VMR, which are useful to determine if a mechanism is pre- or post-synaptic.

Examples

plot_cv_data(
  data = sample_pruned_eEPSC_df$all_cells,
  plot_treatment = "Control",
  theme_options = sample_theme_options,
  treatment_colour_theme = sample_treatment_names_and_colours,
  save_plot_png = "no"
)
#> Warning: Removed 25 rows containing missing values or values outside the scale range
#> (`geom_point()`).