Creates side-by-side Kaplan-Meier survival curves for the H and Hc subgroups.
Usage
plot_sg_km(
df_H,
df_Hc,
outcome.name,
event.name,
treat.name,
by.risk,
sg0_name,
sg1_name,
treat_labels,
colors,
show_ci = TRUE,
show_logrank = TRUE,
show_hr = TRUE,
hr_estimates = NULL,
conf.level = 0.95,
title = NULL,
...
)Arguments
- df_H
Data frame for H subgroup
- df_Hc
Data frame for Hc subgroup
- outcome.name
Character. Outcome variable name
- event.name
Character. Event indicator name
- treat.name
Character. Treatment variable name
- by.risk
Numeric. Risk table interval
- sg0_name
Character. Label for H subgroup
- sg1_name
Character. Label for Hc subgroup
- treat_labels
Named character vector. Treatment labels
- colors
List. Color specifications
- show_ci
Logical. Show confidence intervals
- show_logrank
Logical. Show log-rank p-value
- show_hr
Logical. Show HR annotation
- hr_estimates
Data frame with HR estimates
- conf.level
Numeric. Confidence level
- title
Character. Plot title
- ...
Additional arguments