R/gam.settings.menu.R

In xpose4: Diagnostics for Nonlinear Mixed-Effect Models

# Xpose 4
# An R-based population pharmacokinetic/
# pharmacodynamic model building aid for NONMEM.
# Copyright (C) 1998-2004 E. Niclas Jonsson and Mats Karlsson.
# Copyright (C) 2005-2008 Andrew C. Hooker, Justin J. Wilkins, 
# Mats O. Karlsson and E. Niclas Jonsson.
# Copyright (C) 2009-2010 Andrew C. Hooker, Mats O. Karlsson and 
# E. Niclas Jonsson.

# This file is a part of Xpose 4.
# Xpose 4 is free software; you can redistribute it and/or
# modify it under the terms of the GNU Lesser General Public License
# as published by the Free Software Foundation, either version 3
# of the License, or (at your option) any later version.

# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU Lesser General Public License for more details.

# You should have received a copy of the GNU Lesser General Public License
# along with this program.  A copy can be cound in the R installation
# directory under \share\licenses. If not, see http://www.gnu.org/licenses/.

"gam.settings.menu"<-
  function(){
    
    ## Manage GAM setttings
    
    
    choices <- c("Return to the previous menu ->",
                 "List current settings",
                 "Use dispersion factor (yes/no)",
                 "Use stepwise search (yes/no)",
                 "Use all lines in data file (yes/no)",
                 "Change subset expression",
                 "Normalize to median (on/off)",
                 "Change covariate scope",
                 "Weight the parameter values in the GAM search (yes/no)",
                 "Use ID labels in GAM plots"
                 )
    
    title="\nGAM SETTINGS MENU\n  \\main\\covariate model\\GAM\\settings for the GAM"
    
    pick <- menu(choices,title=title)
    
    qx <- 0
    switch(pick+1,
           qx <- 2,
           qx <- 1,
           list.gam.settings(eval(parse(text=".cur.db"))),
           change.dispersion(),
           change.steppit(),
           change.onlyfirst(),
           change.subset(eval(parse(text=".cur.db")), classic = T),
           change.medianNorm(),
           change.xvardef(eval(parse(text=".cur.db")), classic=T, var="covariates"),
           gam.change.weights(),
           change.use.ids()
           )

           

    if(qx == 2) {
      return(invisible(2))
    } else {
      if(qx == 1) {
        return(invisible(0))
      } else {
        Recall()
      }
    } 
    
    
  }