A minimum alternative to summarytools::dfSummary to avoid package dependency.
Usage
summarizeDataFrame(
data,
exclude_vars = NULL,
tte_vars = NULL,
event_vars = NULL,
categorical_vars = NULL
)Arguments
- data
a data frame.
- exclude_vars
columns to be excluded from summary.
- tte_vars
character. Vector of time-to-event variables.
- event_vars
character. Vector of event indicators. Every time-to-event variable should be corresponding to an event indicator.
- categorical_vars
character. Vector of categorical variables. This can be used to specify variables with limited distinct values as categorical variables in summary.
Examples
set.seed(123)
n <- 1000
data <- data.frame(
age = rnorm(n, 65, 10),
gender = sample(c('M', 'F', NA), n, replace = TRUE, prob = c(.4, .4, .2)),
time_to_death = rexp(n, .01),
death = rbinom(n, 1, .6),
type = sample(LETTERS[1:8], n, replace = TRUE)
)
summarizeDataFrame(data, tte_vars = 'time_to_death', event_vars = 'death')
#> Summary generated.