maraca (version 1.1.0)

plot.maraca: Generic function to plot the maraca object using plot().

Description

Generic function to plot the maraca object using plot().

Usage

# S3 method for maraca
plot(
  x,
  continuous_grid_spacing_x = 10,
  trans = c("identity", "log", "log10", "sqrt", "reverse")[1],
  density_plot_type = c("default", "violin", "box", "scatter")[1],
  vline_type = NULL,
  remove_outliers = FALSE,
  theme = "maraca",
  ...
)

Value

Returns ggplot2 plot of the maraca object.

Arguments

x

An object of S3 class 'maraca'.

continuous_grid_spacing_x

The spacing of the x grid to use for the continuous section of the plot.

trans

the transformation to apply to the x-axis scale for the last outcome. Possible values are "identity", "log" (only for continuous endpoint), "log10" (only for continuous endpoint), "sqrt" (only for continuous endpoint) and "reverse". The default value is "identity".

density_plot_type

The type of plot to use to represent the density. Accepts "default", "violin", "box" and "scatter".

vline_type

what the vertical dashed line should represent. Accepts "median" (only for continuous last endpoint), "mean", "none" and NULL (default). By default (vline_type = NULL), vline_type will be set to "median" for a continuous last endpoint and to "mean" for a binary last endpoint.

remove_outliers

Flag indicating for last endpoint if outliers are supposed to be displayed. If TRUE, the outliers are removed and only the range not including them is displayed. Only implemented for continuous endpoints. Default value FALSE.

theme

Choose theme to style the plot. The default theme is "maraca". Options are "maraca", "maraca_old", "color1", "color2" and none". For more details, check the vignette called "Maraca Plots - Themes and Styling".

...

not used

Examples

data(hce_scenario_a)
hce_test <- maraca(
  data = hce_scenario_a,
  step_outcomes = c("Outcome I", "Outcome II", "Outcome III", "Outcome IV"),
  last_outcome = "Continuous outcome",
  fixed_followup_days = 3 * 365,
  column_names = c(outcome = "GROUP", arm = "TRTP", value = "AVAL0"),
  arm_levels = c(active = "Active", control = "Control"),
  compute_win_odds = TRUE
)
plot(hce_test)