gen_data: Generate both the covariates and the outcomes

In shiandy/methods1proj: Methods 1 Project, Fall 2016

Description

Generates X using gen_dist and then generates Y = beta_0 + XB + eps, #' where eps is generated according to error_dist. NOT exported to the user.

Usage

gen_data(n, true_betas, gen_dist = gen_xs_default, error_dist = rnorm, ...)

Arguments

n	Number of observations
true_betas	A vector of true values of regression coefficients. Should include the intercept as the first item, beta1 as the second, etc.
gen_dist	A function specifiying how to generate the covariates. Should take n as its first argument, corresponding to the number of observations, and p as the second, corresponding to the number of dimensions per observation (including the intercept, so each X_i has p-1 dimensions).
error_dist	A function specifying how to generate the errors. Should take n as the first argument, specifying the number of observations
...	Additional arguments to gen_dist

Value

A list lst, with element lst$xs corresponding to the covariates and lst$ys corresponding to the responses.

shiandy/methods1proj documentation built on Dec. 31, 2020, 5:15 a.m.