Nothing
summary.dev.test <-
function(object, ...)
{
alpha<-0.05
if (!inherits(object, "dev.test")) {
stop("Error: 'object' must be of class 'dev.test'.")
}
# Wald Approximation, standard error, confidence interval, coefficient of variation
#number.of.perm<-function(p.value, cv) { (p.value*(1-p.value))/(cv*p.value)^2 }
se<-function(p.value, perm=100) { sqrt((p.value*(1-p.value))/perm) }
ci<-function(p.value, perm=100, alpha=alpha) {
tmp<-p.value + cbind(qnorm(1-alpha/2)*se(p.value, perm))%*%c(-1, 1)
tmp[, 1]<-ifelse(tmp[, 1] < 0, 0 , tmp[, 1])
tmp[, 2]<-ifelse(tmp[, 2] > 1, 1 , tmp[, 2])
return(tmp)
}
cv<-function(p.value, perm=100) { se(p.value, perm)/p.value }
x<-unclass(object)
dat<-as.data.frame(x$test)
b<-x$number.of.permutations
cat(paste(" full formula: ", paste(as.character(x$formula.full), collapse=" "), "\n", sep=""))
cat(paste("reduced formula: ", paste(as.character(x$formula.red), collapse=" "), "\n\n", sep=""))
cat(paste("method: ", as.character(x$method)), "\n", sep="")
cat(paste("number of variables: ", as.character(x$number.of.variables)), "\n", sep="")
cat(paste("number of permutations: ", b, "\n\n", sep=""))
cat("test: \n")
print(round(dat, ...))
if(as.character(x$method) == "permutation") {
a<-cbind(se(p.value=dat[, 3], perm=b), ci(p.value=dat[, 3], perm=b, alpha=alpha),
cv(p.value=dat[, 3], perm=b), dat[, 1]/dat[, 2])
rownames(a)<-rownames(dat)
colnames(a)<-c("se", "lower.CI", "upper.CI", "coef.of.variation", "deviance/df")
cat("\n")
print(round(a, ...))
}
}
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