Kaplan-Meier plot for events

Usage

kmplot(
  nif,
  analyte,
  dose = NULL,
  group = NULL,
  convert_tafd_h_to_d = TRUE,
  title = NULL,
  y_label = NULL,
  silent = NULL,
  ...
)

Arguments

nif

A nif object.

analyte

The analyte.

dose

The dose, defaults to all doses, if NULL.

group

Grouping variable.

convert_tafd_h_to_d

Convert the TAFD field from hours to days, defaults to TRUE.

title

The plot title, defaults to none if NULL.

y_label

The y axis label, defaults to the analyte, if NULL.

silent

Suppress messages, as logical. Defaults to nif_option setting if NULL.

...

Arguments passed on to survminer::ggsurvplot

conf.int

logical value. If TRUE, plots confidence interval.

pval

logical value, a numeric or a string. If logical and TRUE, the p-value is added on the plot. If numeric, than the computet p-value is substituted with the one passed with this parameter. If character, then the customized string appears on the plot. See examples - Example 3.

surv.median.line

character vector for drawing a horizontal/vertical line at median survival. Allowed values include one of c("none", "hv", "h", "v"). v: vertical, h:horizontal.

risk.table

Allowed values include:

• TRUE or FALSE specifying whether to show or not the risk table. Default is FALSE.

• "absolute" or "percentage". Shows the absolute number and the percentage of subjects at risk by time, respectively.

• "abs_pct" to show both absolute number and percentage.

• "nrisk_cumcensor" and "nrisk_cumevents". Show the number at risk and, the cumulative number of censoring and events, respectively.

Value

A ggplot object.