Create a table that corresponds to the cumulative excess plot

Create a table that corresponds to the cumulative excess plot

gensurv_table(df_table, subjects, visits, fig_colors = c("#0571b0", "#ca0020"))

Arguments

df_table

A dataframe with 5 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.

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.

Value

A table.

Examples

gensurv_table(cumexcess, 100, 6)