Plots aggregated uptake

Usage

plot_aggregated_uptake(
  aggregated_dat,
  fractional = TRUE,
  theoretical = FALSE,
  time_100 = max(unique(aggregated_dat[["Exposure"]])),
  panels = FALSE,
  interactive = FALSE
)

Arguments

aggregated_dat: aggregated differential uptake data as calculated by create_aggregated_uptake_dataset
fractional: logical, determines if values are fractional
theoretical: logical, determines if values are theoretical
time_100: maximal exchange control time point of measurement [min]
panels: logical, indicator if plot should be divided into panels or not
interactive: logical, whether plot should have an interactive layer created with with ggiraph, which would add tooltips to the plot in an interactive display (HTML/Markdown documents or shiny app).

Examples

kin_dat <- create_uptake_dataset(alpha_dat, states = "Alpha_KSCN")
aggregated_dat <- create_aggregated_uptake_dataset(kin_dat)
plot_aggregated_uptake(aggregated_dat, panels = FALSE)

plot_aggregated_uptake(aggregated_dat, fractional = FALSE, panels = FALSE)

plot_aggregated_uptake(aggregated_dat, fractional = FALSE, theoretical = TRUE, panels = TRUE)

#> NULL