Create a table that corresponds to the cumulative excess plot

Create a table that corresponds to the cumulative excess plot

Usage

gensurv_table(
  df_table,
  base_subjects,
  visits,
  fig_colors = c("#0571b0", "#ca0020"),
  base_font_size = 9
)

Arguments

df_table

A dataframe with 6 variables named the following:

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

2. n: A vector containing a number of subjects who experienced an event at a given time (numerical).

3. effect: specifies between an active or control effect.

4. outcome: specifies whether the an outcome should be classified as a "Benefit" or "Risk" (this must have either "Benefit" or "Risk" as values).

5. eff_code: 0 for control and 1 for active effect.

6. subjects: A vector containing the total number of active/placebo subjects in the study at a given time.

base_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 observational periods.

fig_colors

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

base_font_size

Numeric; base font size in points for all text elements in the plot (default: 9).

Value

A table.

Examples

gensurv_table(cumexcess, 100, 6)
#> Ignoring unknown labels:
#> • titles : "Number of Subjects"
#> Ignoring unknown labels:
#> • titles : "Number With Event"