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Last data update: 2014.03.03

R: Single Pairwise Difference of Mean Outcomes

diffMeans

R Documentation

Single Pairwise Difference of Mean Outcomes

Description

Calculates the difference of mean observed outcomes for a specified treatment factor and specified pair of comparison levels.

Usage

diffMeans(y, w, calcOptions = NULL)

Arguments

`y`	a vector or matrix of outcomes.
`w`	a vector or matrix of assignments.
`calcOptions`	a list of options for calculating the difference of mean outcomes (if necessary). `calcOptions$factor` is a number denoting the treatment factor of interest (defaults to `1`). `calcOptions$pair` is a vector (of length 2) denoting the pair of levels for comparison (defaults to `c(0,1)`). If `calcOptions` is `NULL`, then `calcOptions$factor` and `calcOptions$pair` take on their default values.

Value

The difference of mean observed outcomes.

Author(s)

Joseph J. Lee and Tirthankar Dasgupta

Examples

## 1 treatment factor with 2 levels
## Assignments and outcomes
w = c(0,0,0,0,0,1,1,1,1,1)
y = c(4,6,5,6,4,11,11,9,10,9)
diffMeans(y, w) ## Equals 5

## 2 treatment factors, each with 3 levels
## Assignments and outcomes
w1 = c(1,2,3,1,2,3,1,2,3)
w2 = c(1,2,3,2,3,1,3,1,2)
w = cbind(w1,w2)
y = c(4,6,5,7,4,7,11,9,10)
diffMeans(y, w,
    calcOptions = list(factor = 2, pair = c(1,3))) ## Equals 0