Nothing
print.summary.glht <- function (x, digits = max(3, getOption("digits") - 3), ...)
{
code = "</pre>"
code = paste(code,"<h2>Simultaneous Tests for General Linear Hypotheses</h2>\n")
if (!is.null(x$type))
code = paste(code,"<h3>Multiple Comparisons of Means:", x$type, "Contrasts</h3>\n")
call <- if (isS4(x$model))
x$model@call
else x$model$call
if (!is.null(call)) {
callstring <- deparse(call)
if (length(callstring) > 1) {
callstr = callstring[1]
for (i in 2:length(callstring)) {
callstr = paste(callstr,str_trim(callstring[i],side="left"))
}
} else callstr = callstring
code = paste(code,"<p><b>Fit: </b>",callstr,"</p>\n")
}
pq <- x$test
mtests <- cbind(pq$coefficients, pq$sigma, pq$tstat, pq$pvalues)
error <- attr(pq$pvalues, "error")
pname <- switch(x$alternativ, less = paste("Pr(<", ifelse(x$df ==
0, "z", "t"), ")", sep = ""), greater = paste("Pr(>",
ifelse(x$df == 0, "z", "t"), ")", sep = ""), two.sided = paste("Pr(>|",
ifelse(x$df == 0, "z", "t"), "|)", sep = ""))
colnames(mtests) <- c("Estimate", "Std. Error", ifelse(x$df ==
0, "z value", "t value"), pname)
type <- pq$type
if (!is.null(error) && error > .Machine$double.eps) {
sig <- which.min(abs(1/error - (10^(1:10))))
sig <- 1/(10^sig)
}
else {
sig <- .Machine$double.eps
}
code = paste(code,"<h3>Linear Hypotheses:</h3>\n")
alt <- switch(x$alternative, two.sided = "==", less = ">=",
greater = "<=")
rownames(mtests) <- paste(rownames(mtests), alt, x$rhs)
code = paste(code,h.printCoefmat(mtests, digits = digits, has.Pvalue = TRUE,
P.values = TRUE, eps.Pvalue = sig))
adj <- switch(type, univariate = "(Univariate p values reported)",
`single-step` = "(Adjusted p values reported -- single-step method)",
Shaffer = "(Adjusted p values reported -- Shaffer method)",
Westfall = "(Adjusted p values reported -- Westfall method)",
paste("(Adjusted p values reported --", type, "method)"))
code = paste(code,"<p>",adj,"</p>\n")
code = paste(code,"<pre>\n")
cat(code)
invisible(x)
}
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