anovaF: Analysis of Variance F statistic

In randomizationInference: Flexible Randomization-Based Inference

Analysis of Variance F statistic

Description

Calculates the analysis of variance F statistic.

Usage

anovaF(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 analysis of variance (ANOVA) F statistic (if necessary). calcOptions$block can denote a block variable to be accounted for. calcOptions$row and calcOptions$col can denote rows and columns to be accounted for in a Latin square design.

Details

Returns the F statistic calculated in an analysis of variance of a linear model with no interaction terms.

Value

An analysis of variance F statistic.

Author(s)

Joseph J. Lee and Tirthankar Dasgupta

Examples

# 1 treatment factor with 3 levels
# Assignments and outcomes
w <- c(1, 1, 1, 1, 2, 2, 2, 2, 3, 3, 3, 3)
y <- c(4, 6, 5, 7, 4, 7, 11, 9, 8, 12, 9, 9)
anovaF(y, w)

# 1 treatment factor with 3 levels, with block
# Assignments, blocks, and outcomes
w <- c(1, 1, 1, 1, 2, 2, 2, 2, 3, 3, 3, 3)
x <- c(1, 1, 2, 2, 1, 1, 2, 2, 1, 1, 2, 2)
y <- c(4, 6, 5, 7, 4, 7, 11, 9, 8, 12, 9, 9)
anovaF(y, w, calcOptions = list(block = x))

randomizationInference documentation built on May 18, 2022, 1:06 a.m.