discord_data_legacy: Legacy Code: Restructure Data

Description

This is from https://github.com/R-Computing-Lab/discord/blob/74323b2cdd739355cd4a388251c747f1bcd87eb5/R/discord_data.R and is legacy code used to restructure wide form, double-entered data, into analyzable data sorted by outcome. This can be used in discord_regression_legacy.

Usage

discord_data_legacy(
  outcome,
  predictors = NULL,
  doubleentered = TRUE,
  sep = "",
  scale = FALSE,
  df = NULL,
  id = NULL,
  full = TRUE,
  ...
)

Value

Returns data.frame with the following variables:

id: id
outcome_1: outcome for kin1; kin1 is always greater than kin2, except when tied. Then kin1 is randomly selected from the pair
outcome_2: outcome for kin2
outcome_diff: difference between outcome of kin1 and kin2
outcome_mean: mean outcome for kin1 and kin2
predictor_i_1: predictor variable i for kin1
predictor_i_2: predictor variable i for kin2
predictor_i_diff: difference between predictor i of kin1 and kin2
predictor_i_mean: mean predictor i for kin1 and kin2

Arguments

outcome: Name of outcome variable
predictors: Names of predictors.
doubleentered: Describes whether data are double entered. Default is FALSE.
sep: The character in df that separates root outcome and predictors from mean and diff labels character string to separate the names of the predictors and outcomes from kin identifier (1 or 2). Not NA_character_.
scale: If TRUE, rescale all variables at the individual level to have a mean of 0 and a SD of 1.
df: dataframe with all variables in it.
id: id variable (optional).
full: If TRUE, returns kin1 and kin2 scores in addition to diff and mean scores. If FALSE, only returns diff and mean scores.
...: Optional pass on additional inputs.