Create a cumulative excess plot from a given dataframe

Create a cumulative excess plot from a given dataframe

gensurv_plot(
  df_outcome,
  subjects,
  visits,
  fig_colors = c("#0571b0", "#ca0020"),
  titlename = NULL,
  ben_name = "Primary Efficacy",
  risk_name = "Recurring AE",
  legend_position = c(-0.03, 1.15)
)

Arguments

df_outcome

A dataframe with 6 variables named the following:

  1. eventtime: A vector of time points at which an event occurred.

  2. diff: A vector containing the difference in active and control effects.

  3. obsv_duration: A variable that specifies the duration of the observational period (numerical).

  4. obsv_unit: A variable that specifies the unit for the duration of the observational period (this is a non-numerical input).

  5. outcome: A vector containing whether the outcome is a "Benefit" or "Risk".

  6. eff_diff_lbl: A vector containing the label for effect difference.

subjects

A numerical input that specifies the baseline proportion of subjects in the study (for example, "per 100 subjects")

visits

A numerical input that is the length between normal visits.

fig_colors

Allows the user to change the colors of the figure (defaults are provided). Must be vector of length 2, with color corresponding to benefit first and risk second.

titlename

Allows the user to change the documentation of the title (default is provided).

ben_name

Allows user to specify benefit of interest (default is provided).

risk_name

Allows user to specify risk of interest (default is provided).

legend_position

Allows user to specify legend position. Must be a vector of length 2, with the first value corresponding to the position of the legend relative to the x-axis, and the second corresponding to the position of the legend relative to the y-axis (numeric).

Value

A cumulative excess plot.

Examples

gensurv_plot(cumexcess, 100, 6,
  titlename =
    "Cumulative Excess # of Subjects w/ Events (per 100 Subjects)"
)