linear.sds: Functions to Calculate Residual SD for Normal/Continuous...

In genpwr: Power Calculations Under Genetic Model Misspecification

Description

Functions to Calculate Residual SD for Normal/Continuous Outcomes Function to calculate the standard deviation of y given x for linear models

Usage

linear.sds(m, es_ab, es_bb, sd_y, model)

Arguments

m	minor allele frequency
es_ab	effect size for mean AB - mean AA
es_bb	effect size for mean BB - mean AA
sd_y	the standard deviation of y in the overall population.
model	The assumed genetic model(s) used in testing: 'Dominant', 'Additive', 'Recessive', '2df'

Value

A vector of linear regression model coefficients.

Examples

linear.sds(m = 0.1, es_ab = 0, es_bb = 3, sd_y = 1, model = "Dominant")

genpwr documentation built on March 31, 2021, 1:06 a.m.