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## Stuart-Maxwell Test (n-Sample McNemar's)
## Use Fridline's Data to Test
stuart.maxwell <- function(X, alpha = NULL){
if(nrow(X)!=3||ncol(X)!=3){
stop("Data must be a 3x3 matrix")
}
if(is.null(alpha)){
alpha<-0.05
}
if(!is.numeric(alpha)||alpha > 1||alpha<0){
stop("'alpha' must be numeric and between 0 and 1.")
}
Xdiff1 = sum(X[1,]) - sum(X[,1])
Xdiff2 = sum(X[2,]) - sum(X[,2])
d = matrix(c(Xdiff1, Xdiff2),2,1)
s11 = sum(X[1,]) + sum(X[,1]) - 2*X[1,1]
s22 = sum(X[2,]) + sum(X[,2]) - 2*X[2,2]
s12 = -1 * (X[1,2] + X[2,1])
s21 = s12
S = matrix(c(s11, s12, s21, s22), 2,2)
ts = t(d) %*% solve(S) %*% d
df = nrow(X) - 1
p = 1 - pchisq(ts, df)
interpretation = character()
if(p < alpha){
interpretation = "There is enough evidence to conclude that there is a difference in the distribution between the paired groups."
}
else{
interpreation = "There is not enough evidence to conclude that there is a difference in the distribution between the paired groups."
}
setClass("output",
representation(
Title="character",
NHypothesis="character",
AHypothesis="character",
TestStat="character",
DF = "character",
alphalevel = "character",
PVal="character",
pinter="character"), where=topenv(parent.frame())
)
display<-new("output", Title="Stuart-Maxwell Test", NHypothesis=paste("H0: There is no difference in the distribution between the paired groups."),
AHypothesis=paste("HA: There is a difference in the distribution between the paired groups."),
TestStat=paste("Test Statistic =",toString(ts)), DF = paste("Degrees of Freedom =", toString(df)),
alphalevel = paste("Significance Level =", toString(alpha)),
PVal=paste("The p-value is ", toString(p)), pinter=interpretation)
setMethod("show", "output",
function(object){
cat("\n", object@Title, "\n", "\n",
object@NHypothesis, "\n",
object@AHypothesis, "\n", "\n",
object@TestStat, "\n", "\n",
object@DF, "\n", "\n",
object@alphalevel, "\n",
object@PVal, "\n",
object@pinter, "\n", "\n")
}, where=topenv(parent.frame())
)
display
}
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