randomizationInference (version 1.0.1)

constEffect: 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.

See Also

zeroEffect

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)))