View source: R/func_discord_regression.R
discord_regression | R Documentation |
Perform a Linear Regression within the Discordant Kinship Framework
discord_regression(
data,
outcome,
predictors,
demographics = NULL,
id = NULL,
sex = "sex",
race = "race",
pair_identifiers = c("_s1", "_s2"),
data_processed = FALSE,
coding_method = "none"
)
data |
The data set with kinship pairs |
outcome |
A character string containing the outcome variable of interest. |
predictors |
A character vector containing the column names for predicting the outcome. |
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". |
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. |
pair_identifiers |
A character vector of length two that contains the variable identifier for each kinship pair |
data_processed |
Logical operator if data are already preprocessed by discord_data , default is FALSE |
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". |
Resulting 'lm' object from performing the discordant regression.
discord_regression(
data = data_sample,
outcome = "height",
predictors = "weight",
pair_identifiers = c("_s1", "_s2"),
sex = NULL,
race = NULL
)
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