discord_data: Restructure Data to Determine Kinship Differences
In discord: Functions for Discordant Kinship Modeling

Description Usage Arguments Value Examples

Restructure Data to Determine Kinship Differences

discord_data(
  data,
  outcome,
  predictors,
  id = "extended_id",
  sex = "sex",
  race = "race",
  pair_identifiers,
  demographics = "both"
)

`data`	A data frame.
`outcome`	A character string containing the outcome variable of interest.
`predictors`	A character vector containing the column names for predicting the outcome.
`id`	A unique kinship pair identifier.
`sex`	A character string for the sex column name.
`race`	A character string for the race column name.
`pair_identifiers`	A character vector of length two that contains the variable identifier for each kinship p
`demographics`	Indicator variable for if the data has the sex and race demographics. If both are present (default, and recommended), value should be "both". Other options include "sex", "race", or "none".

A data frame that contains analyzable, paired data for performing kinship regressions.

discord_data(data = sample_data,
outcome = "height",
predictors = "weight",
pair_identifiers = c("_s1", "_s2"),
sex = NULL,
race = NULL,
demographics = "none")