cat_apply_freq: Applying frequencies to the object returned by the...

In Polkas/catTOcat: Handling an Inconsistently Coded Categorical Variable in a Longitudinal Dataset

Applying frequencies to the object returned by the 'get_mappings' function

Description

applying frequencies to the object returned by the 'get_mappings' function. We will get a symmetric object to the one returned by the 'get_mappings' function, nevertheless categories are replaced with frequencies. Frequencies for each category/key are sum to 1, so could be interpreted as probabilities.

Usage

cat_apply_freq(to_x, freqs)

Arguments

to_x	'list' object returned by 'get_mappings'.
freqs	'data.frame' object like the one returned by the 'get_freqs' function.

Value

a 'list' with a structure like 'to_x' object but with probabilities for each category.

Note

'freqs' arg first column (keys) and the to_x arg values have to be of the same type. The uniform distribution (outcomes are equally likely) is assumed for no match for all possible categories.

Examples

data("trans", package = "cat2cat")
data("occup", package = "cat2cat")

mappings <- get_mappings(trans)

mappings$to_old[1:4]
mappings$to_new[1:4]

mapp_p <- cat_apply_freq(
  mappings$to_old,
  get_freqs(
    occup$code[occup$year == "2008"],
    occup$multiplier[occup$year == "2008"]
  )
)
head(data.frame(I(mappings$to_old), I(mapp_p)))
mapp_p <- cat_apply_freq(
  mappings$to_new,
  get_freqs(
    occup$code[occup$year == "2010"],
    occup$multiplier[occup$year == "2010"]
  )
)
head(data.frame(I(mappings$to_new), I(mapp_p)))

Polkas/catTOcat documentation built on Jan. 26, 2024, 7:10 a.m.