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)
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.
A dataframe containing the contingency tables for each of the variables in df.
A matrix with distinct (factor) labels and corresponding counts and percentages.