dropR (version 1.0.3)

plot_do_kpm: Plot a Kaplan Meier Survival Estimation

Description

The plot_do_kpm function generates a Kaplan-Meier survival plot based on the output from the do_kpm() function. It allows for customization of conditions to display, confidence intervals, color palettes, and y-axis scaling.

Usage

plot_do_kpm(
  kds,
  sel_conds = c("11", "12", "21", "22"),
  kpm_ci = TRUE,
  full_scale_kpm = FALSE,
  color_palette_kp = "color_blind"
)

Value

Returns a ggplot object containing the Kaplan-Meier survival plot. Using the Shiny App version of dropR, this plot can easily be downloaded in different formats.

Arguments

kds

list object as modeled by do_kpm()

sel_conds

character Which experimental conditions to plot.

kpm_ci

boolean Should there be confidence bands in the plot? Defaults to TRUE.

full_scale_kpm

boolean Should the Y axis show the full range from 0 to 100? Defaults to FALSE.

color_palette_kp

character indicating which color palette to use. Defaults to 'color_blind', alternatively choose 'gray' for gray scale values or 'default' for the ggplot2 default colors.

Examples

plot_do_kpm(do_kpm(d = add_dropout_idx(dropRdemo, 3:54),
condition_col = "experimental_condition",
model_fit = "total"))

plot_do_kpm(do_kpm(d = add_dropout_idx(dropRdemo, 3:54),
condition_col = "experimental_condition",
model_fit = "conditions"), sel_conds = c("11", "12", "21", "22"))