spec.data: Data Generation for a Given Specification

In koohyun-kwon/rdadapt:

Data Generation for a Given Specification

Description

Generates running variables, and corresponding standard deviations and regression function values given a specification.

Usage

spec.data(spec.ind, which.fun, n, th, C.big, C.small, sig.scale, seed = 1)

Arguments

spec.ind	data.frame with a single rows, with names(spec.ind) containing c("unif", "homo", "trueCsmall").
which.fun	which regression function to evaluate; supports 1:6.
n	sample size.
th	true RD parameter.
C.big	the value of C corresponding to the large C.
C.small	the value of C corresponding to the small C.
sig.scale	scaling parameter for the standard deviation.
seed	the random number seed used to generate regressors; the default is seed = 1.

Value

a list with components x (running variables), sig (standard deviations), and fx (regression function values).

Examples

spec.ind <- data.frame(unif = 1, homo = 0, trueCsmall = 0)
spec.data(spec.ind, 1, 100, 1, 3, 1, 1/2)
spec.data(spec.ind, 6, 100, 1, 3, 1, 1/2)

koohyun-kwon/rdadapt documentation built on May 8, 2022, 8:49 p.m.