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## MCA multiple comparisons analysis (pairwise)
if.R(r=
mcalinfct <-
function(model, focus,
mmm.data=model$model,
formula.in=terms(model),
linfct.Means=
## multcomp:::meanslinfct(model, focus, mmm.data, formula.in,
multcomp.meanslinfct(model, focus, mmm.data, formula.in,
contrasts.arg=model$contrasts),
type="Tukey"
) {
if (inherits(model, "lme")) ## changed rmh
mmm.data <- model$data ## changed rmh
lev <- levels(mmm.data[[focus]])
names(lev) <- lev
mca <- contrMat(table(mmm.data[[focus]]), type)
## result <-
mca[, lev] %*% linfct.Means[lev,]
## attr(result, "type") <- "Tukey"
## attr(result, "class") <- c("contrMat", "matrix")
## mca <- list(result)
## names(mca) <- focus
## attr(mca, "class") <- "mcp"
## mca
}
,s={})
## source("~/HH-R.package/HH/R/mcalinfct.R")
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