Nothing
# This method is used for printing the objects returned by the contrast methods.
# It was copied from the rms package, written by Frank Harrell.
print.contrast <- function(x, X=FALSE, fun=function(u) u, ...)
{
testLabels <- switch(
x$model,
lm =, glm =, lme =, gls = c("t", "Pr(>|t|)"),
geese = c("Z", "Pr(>|Z|)"))
w <- x[c("Contrast", "SE", "Lower", "Upper", "testStat", "df", "Pvalue")]
w$testStat <- round(w$testStat, 2)
w$Pvalue <- round(w$Pvalue, 4)
no <- names(w)
no[no == 'SE'] <- 'S.E.'
no[no == 'testStat'] <- testLabels[1]
no[no == 'Pvalue'] <- testLabels[2]
names(w) <- no
cat(x$model, "model parameter contrast\n\n")
cnames <- x$cnames
if (length(cnames) == 0)
{
cnames <- if (x$nvary) rep('', length(x[[1]])) else as.character(1:length(x[[1]]))
}
attr(w, 'row.names') <- cnames
attr(w, 'class') <- 'data.frame'
w$Contrast <- fun(w$Contrast)
w$SE <- fun(w$SE)
if(x$model != "geese") w$df <- x$df
w$Lower <- fun(w$Lower)
w$Upper <- fun(w$Upper)
print(as.matrix(w), quote=FALSE)
if (X)
{
attr(x$X, "contrasts") <- NULL
attr(x$X, "assign") <- NULL
cat('\nContrast coefficients:\n')
if (is.matrix(x$X)) dimnames(x$X) <- list(cnames, dimnames(x$X)[[2]])
print(x$X)
}
if(x$model == "lm")
{
if(x$covType != "const") cat("\nThe", x$covType, "covariance estimator was used.\n")
}
invisible()
}
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