Nothing
require(htmlwidgets)
require(shinyBS)
################ exportation list options for graphic
export <- list(
list(
text = "png",
onclick = htmlwidgets::JS("function () {
this.exportChart({ type: 'image/png' }); }")
),
list(
text = "jpeg",
onclick = htmlwidgets::JS("function () {
this.exportChart({ type: 'image/jpeg' }); }")
),
list(
text = "svg",
onclick = htmlwidgets::JS("function () {
this.exportChart({ type: 'image/svg+xml' }); }")
),
list(
text = "pdf",
onclick = htmlwidgets::JS("function () {
this.exportChart({ type: 'application/pdf' }); }")
)
)
harmonicMean <- function(logLikelihoods, precision=2000L) {
library("Rmpfr")
llMed <- median(logLikelihoods)
as.double(llMed - log(mean(exp(-mpfr(logLikelihoods,
prec = precision) + llMed))))
}
###### Rescale numeric vector to have specified minimum "0" and maximum (1).
g4metric <- function (values){
columns <- base::subset(values,
select = 2:ncol(values))
values <- base::data.frame(values["topics"],
base::apply(columns,
2,
function(column) {
scales::rescale(column,
to = c(0, 1),
from = range(column))
}))
values <- reshape2::melt(values, id.vars = "topics", na.rm = TRUE)
}
#######Avoid accidentally closing a bsModal
bsModalNoClose <- function(...) {
b <- shinyBS::bsModal(...)
b[[2]]$`data-backdrop` <- "static"
b[[2]]$`data-keyboard` <- "false"
return(b)
}
removeSparseTerms <- function (x, sparse)
{
stopifnot(inherits(x, c("DocumentTermMatrix", "TermDocumentMatrix")),
is.numeric(sparse), sparse > 0, sparse < 1)
m <- if (inherits(x, "DocumentTermMatrix"))
t(x)
else x
t <- table(m$i) > m$ncol * (1 - sparse)
termIndex <- as.numeric(names(t[t]))
if (inherits(x, "DocumentTermMatrix"))
x[, termIndex]
else x[termIndex, ]
}
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