Nothing
# nlarDialog <- function(series){
# require(tcltk)||stop("tcltk package required for displaying the GUI")
#
# models <- availableModels()
# vModel <- tclVar(models[1])
#
# frMain <- Frame(opts=list(anchor="w"))
# frTop <- Frame()
# add(frTop, frMain)
# add(frMain, Widget(opts=list(type="label", text="Model")))
#
# for(i in 1:length(models))
# add(frMain, Widget(opts = list(type = "radiobutton", text=models[i], value=models[i], variable=vModel)))
#
# onNext <- function() {
# model <- as.character(tclObj(vModel))
# tkdestroy(frRoot$tkvar)
# fun <- get(paste("showDialog",model,sep="."))
# fun(series)
# return(invisible(NULL))
# }
#
# onCancel <- function()
# tkdestroy(frRoot$tkvar)
#
# frBottom <- makeButtonsFrame(list(Next=onNext, Cancel=onCancel))
# frRoot <- Frame()
# add(frRoot, frTop, frBottom)
# buildDialog("nlar model fitting", frRoot)
# cat("\n")
# invisible(NULL)
#
# }
#
# nlar.struct.Frame <- function(vM, vD, vSteps) {
# frMain <- Frame(opts=list(anchor="w"), conf=list(borderwidth=4))
# add(frMain,
# Widget(opts=list(type="label", text="dimension")),
# Widget(opts=list(type="spinbox", from=1, to=1000, increment=1, textvariable=vM, width=4)),
# Widget(opts=list(type="label", text="time delay")),
# Widget(opts=list(type="spinbox", from=1, to=1000, increment=1, textvariable=vD, width=4)),
# Widget(opts=list(type="label", text="forecast steps")),
# Widget(opts=list(type="spinbox", from=1, to=1000, increment=1, textvariable=vSteps, width=4))
# )
# return(frMain)
# }
#
# namedEntry <- function(name, var, width=2, ...) {
# frMain <- Frame()
# add(frMain,
# Widget(opts=list(type="label",text=name)),
# Widget(opts=list(type="entry",textvariable=var, width=width, ...))
# )
# return(frMain)
# }
#
# namedSpinbox <- function(name, var, from, to, increment=1, width=4, ...) {
# frMain <- Frame()
# add(frMain,
# Widget(opts=list(type="label",text=name)),
# Widget(opts=list(type="spinbox",from=from, to=to, increment=increment,
# textvariable=var, width=width, ...))
# )
# return(frMain)
# }
#
# outputDialog <- function(oC) {
# series <- oC$series
# m <- oC$m
# d <- oC$d
# steps <- oC$steps
# model <- oC$model
# cl <- oC$cl #nlar function call
# res <- eval(cl)
# res$call <- NULL
# assign("nlarModel", res, envir=.GlobalEnv)
# return( invisible( NULL ) )
# }
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