View source: R/make_cuminc_df.R
make_cuminc_df | R Documentation |
Allows for easy grouping by catogories to get survival data from a Kaplan Meier object as well as the cumulative incidence. TODO – Confidence interval for cumulative incidence.
make_cuminc_df(data, time, event, ..., type = "right", extend = FALSE)
data |
A data frame or tibble |
time |
Vector of integer event times. For right censored data, this is the follow up time. For interval data, the first argument is the starting time for the interval. |
event |
The status indicator, normally 0=alive, 1=dead. Other choices are TRUE/FALSE (TRUE = death) or 1/2 (2=death). For interval censored data, the status indicator is 0=right censored, 1=event at time, 2=left censored, 3=interval censored. For multiple enpoint data the event variable will be a factor, whose first level is treated as censoring. Although unusual, the event indicator can be omitted, in which case all subjects are assumed to have an event. |
... |
Unquoted names of variables to group by. Prefer factor or character classes. |
type |
character string specifying the type of censoring. Possible values are "right", "left", "counting", "interval", "interval2" or "mstate". |
extend |
logical value: if TRUE, prints information for all specified times, even if there are no subjects left at the end of the specified times. This is only valid if the times argument is present. |
A tibble
library(dplyr)
library(survival)
#### Data for example --------------------------------
# View the preloaded data
dplyr::glimpse(aml)
## Create a variable for smoke ----------------
df <- aml %>%
mutate(smoke = sample(c("Yes", "No"), size = 23, replace = TRUE)) %>%
tibble::as_tibble()
df
#### Example #1 --------------------------------
make_cuminc_df(data = df,
time = time,
event = status,
smoke)
#### Example #2 --------------------------------
make_cuminc_df(data = df,
time = time,
event = status,
x, smoke)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.