ezr.factorize: Factorize columns in data
In jmp1989/easyr: Helpful wrappers for common EDA, Data Manipulation, & Modeling

Description Usage Arguments Value Examples

Convert fields in a dataset that are character or contain <= <<factor_le_unique_cnt>> unique values (including NA) If you wish to factor certain fields no matter what and ignore others, use factor_le_unique_cnt = 0. Note that character fields will always factorize no matter what

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ezr.factorize(dataset, specific_fields_must_factor = FALSE,
  make_null_factor = TRUE, factor_le_unique_cnt = 3,
  consider_na_in_count = TRUE)

`dataset`	Dataframe
`specific_fields_must_factor`	vector of fields that will be converted to factor no matter what
`make_null_factor`	Use forcats::fct_explicit_na to convert a column to a factor for NA values
`factor_le_unique_cnt`	default is 3 an includes NA in counting. Checks for number of unique columns in a dataset. If there are <= unique values then converts to a factor
`consider_na_in_count`	Default TRUE. Should NA be counted towards whether to factorize? For example if values are 0,1, and NA this is 3 unique values if this parameter is set to TRUE.