This function calculates differences and means of a given variable for each kinship pair. The order of subtraction and the variables' names in the output dataframe depend on the order column set by check_sibling_order(). If the demographics parameter is set to "race", "sex", or "both", it also prepares demographic information accordingly, swapping the order of demographics as per the order column.
Usage
make_mean_diffs(
data,
id,
sex,
race,
demographics,
variable,
pair_identifiers,
row,
coding_method = "none"
)Arguments
- data
The data set with kinship pairs
- id
Default's to NULL. If supplied, must specify the column name corresponding to unique kinship pair identifiers.
- sex
A character string for the sex column name.
- race
A character string for the race column name.
- 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".
- variable
outcomes and predictors for manipulating the data
- pair_identifiers
A character vector of length two that contains the variable identifier for each kinship pair
- row
The row number of the data frame
- coding_method
A character string that indicates what kind of additional coding schemes should be used. Default is none. Other options include "binary" and "multi".