Table one
create_table_one(df, numbers_as_categories = TRUE, deaths = NULL)create_contigency_table(df, x, max_size = 8, numbers_as_categories = TRUE, ...)
percentage_table(x, n_digits = 2)
A dataframe containing the contingency tables for each of the variables in df.
A matrix with distinct (factor) labels and corresponding counts and percentages.
data.frame.
Whether numbers should be categorized.
The number of deaths in the population.
column vector name in df.
maximum size of unique elements in the numeric variable x before the values are clustered.
Arguments passed on to get_breaks
limitsaxis limits. May be either a vector of 2 elements with lower and upper bounds, or a single number (which is the upper bound, the lower bound is then assumed to be 0).
Nstep size. The eventual intervals will be multiples of the divisors of N or
multiples of N when multiples_only is TRUE. Defaults to 10.
max_breaksmaximum amount of breaks, defaults to 10.
int_onlywhether only integer divisors of N may be used as breaks, defaults to TRUE.
multiples_onlywhether only multiples of N can be used as breaks, defaults to FALSE.
include_boundswhether the resulting breaks should encompass min and max. Defaults to TRUE.
The number of digits to which the percentages are rounded.