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Last data update: 2014.03.03

R: Potential Outcomes With Constant Treatment Effects

constEffect

R Documentation

Potential Outcomes With Constant Treatment Effects

Description

Calculates potential outcomes under modified assignments, according to the specified constant treatment effect(s).

Usage

constEffect(y, w, w_new, poOptions)

Arguments

`y`	a vector or matrix of outcomes.
`w`	a vector or matrix of assignments.
`w_new`	a vector or matrix of modified assignments.
`poOptions`	a list of options for calculating potential outcomes. `poOptions$tau` is a number or numeric vector denoting the constant treatment effect(s).

Value

A vector of potential outcomes under the modified assignments.

Author(s)

Joseph J. Lee and Tirthankar Dasgupta

Examples

## 1 treatment factor with 2 levels
## Assignments
w = c(0,0,0,0,0,1,1,1,1,1)
## Modified Assignments
w_new = c(1,1,1,1,1,0,0,0,0,0)
## Outcomes
y = c(4,6,5,7,4,7,11,9,8,12)
constEffect(y, w, w_new, poOptions = list(tau = 2))

## 2 treatment factors, each with 2 levels
## Assignments
w1 = c(0,0,0,0,0,1,1,1,1,1)
w2 = c(0,1,0,1,0,1,0,1,0,1)
w = cbind(w1,w2)
## Modified assignments
w1_new = c(1,1,1,1,1,0,0,0,0,0)
w2_new = c(1,0,1,0,1,0,1,0,1,0)
w_new = cbind(w1_new,w2_new)
## Outcomes
y = c(4,6,5,7,4,7,11,9,8,12)
constEffect(y, w, w_new, poOptions = list(tau = c(2,-1)))