R/model.comparison.covariates.menu.R

In UUPharmacometrics/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/.

model.comparison.covariates.menu <-
  function() {

    choices <- c("Return to previous menu ->",
                 "|Delta PRED| vs covariates",
                 "|Delta IPRED| vs covariates",
                 "|Delta weighted residuals| vs covariates"
                 )

    title="\nMODEL COMPARISON MENU - COVARIATES\n  \\main\\model comparison\\covariates"
    
    pick <- menu(choices,title=title)

    if(is.null(check.vars(c("cwres"),eval(parse(text=".cur.db")),silent=TRUE))) {
      wres <- "wres"
    }else{
      wres <- "cwres"
    }

    
    qx <- 0
    switch(pick+1,
           qx <- 2,
           qx <- 1,
           print(absval.dpred.vs.cov.model.comp(eval(parse(text=".cur.db")))),
           print(absval.dipred.vs.cov.model.comp(eval(parse(text=".cur.db")))),
           ##print(absval.dwres.vs.cov.model.comp(eval(parse(text=".cur.db"))))
           print(eval(parse(text=paste("absval.d",wres,".vs.cov.model.comp(.cur.db)",sep=""))))
           )
    
    if(qx == 2) {
      return(invisible(2))
    } else {
      if(qx == 1) {
        return(invisible(0))
      } else {
        Recall()
      }
    } 
    
  }