Meta data builder

creates a dataset that describes the characteristics of another dataset

build_meta(data, expand_binary_catgs = FALSE, add_perc_to_cats = TRUE,
  max_catgs = 10)

Arguments

data	a data frame with any combination of the following attributes: label, unit, group, abbrs, and notes. Columns in the meta data are based on these attributes.
expand_binary_catgs	T/F, should all categories be included for binary categorical variables? (This only applies to binary variables.)
add_perc_to_cats	T/F, should categorical variables in Table 1 have a the user specifies include_freq = TRUE in tibble_one, then the when include_freq = FALSE, setting this to TRUE should clarify the table.
max_catgs	largest number of categories accepted in a factor variable. A warning message is printed if a factor variable has more categories than max_catg.

Value

A list containing components of data, group_levels, and var_levels. The data component comprises 8 columns:

• variable: variable name - this is the column name of the variable.

• label: variable labels - this is presented in tables

• type: type of variable (numeric or factor)

• unit: units for continuous variables

• group: a group identifier for each variable

• abbr: abbreviations associated with the label of a variable

• note: strings that will be place in tables as a footnote

• labels: labels of variables, including categories of factors.

data is also a tibble.

The group_levels component shows the order that groups will appear in the table, and var_levels shows the order that variables will appear in the table and within groups.