[LONGITUDINAL] 
input = {Ntt, ka, kEhc, Fent, kb, Cl, V, tg}

PK:
compartment(cmt=1, amount=Ehc)
compartment(cmt=2, amount=Ak)
iv(cmt=1, p=-1/amtDose)
iv(cmt=1, Tlag=tg, p=1/amtDose)
oral(cmt=2, Mtt=Ntt/ka, Ktr=ka, ka)

EQUATION:
t0 = 0
Ehc_0 = 1
ddt_Ehc=0 
ddt_Ak = Ehc*kEhc*Agb - ka*Ak
ddt_Acc = ka*Ak - Fent*kb*Acc - (1-Fent)*Cl/V*Acc
ddt_Agb = Fent*kb*Acc - Ehc*kEhc*Agb
Cc = Acc/V

ui <- shinyUI(fluidPage(
navbarPage(" ",
tabPanel("Plot",
fluidRow(
column(3,br(),
tabsetPanel(type='tabs',
tabPanel('param1',br(),
sliderInput("Cl", label="Cl",value=20,min=10,max=40,step=2),
sliderInput("V", label="V",value=200,min=100,max=400,step=20),
sliderInput("Ntt", label="Ntt",value=3,min=1.5,max=6,step=0.3),
sliderInput("ka", label="ka",value=2.5,min=1.25,max=5,step=0.25),
br()
),
tabPanel('param2',br(),
sliderInput("tg", label="tg",value=6,min=3,max=12,step=0.6),
sliderInput("kEhc", label="kEhc",value=0.85,min=0.425,max=1.7,step=0.085),
sliderInput("Fent", label="Fent",value=0.5,min=0.25,max=1,step=0.05),
sliderInput("kb", label="kb",value=0.04,min=0.02,max=0.08,step=0.004),
br()
),
tabPanel('adm',br(),
sliderInput("tfd1", label="tfd",value=0,min=0,max=24,step=2),
sliderInput("nd1", label="nd",value=4,min=0,max=12,step=1),
sliderInput("ii1", label="ii",value=12,min=3,max=24,step=1),
sliderInput("amount1", label="amount",value=1,min=0,max=20,step=1),
br()
),
tabPanel('output',br(),
checkboxGroupInput("out1", label="plot 1", choices='Ehc', selected='Ehc'),

selectInput("x1", label="v.s.",c('time','Ehc','Cc')),
hr(),
checkboxGroupInput("out2", label="plot 2", choices='Cc', selected='Cc'),

selectInput("x2", label="v.s.",c('time','Ehc','Cc')),
hr(),
strong("add"),

fluidRow(
column(5,checkboxInput("boxref", label="reference")),
column(4,actionButton("butref", label = "Reset"))
),
hr(),
radioButtons("ilog", "scale", c("linear" = FALSE,"log" = TRUE), inline=TRUE),
br()
),
br()
)

),
column(9,br(),            
plotOutput("plot")
)
)
),
tabPanel("Mlxtran", pre(includeText("model.txt"))),
tabPanel("ui.R", pre(includeText("ui.R"))),
tabPanel("server.R", pre(includeText("server.R")))
)
))

library("mlxR")
library("reshape")
library("gridExtra")
source("shinymlxTools.R")

out1 <- list(name='Ehc', time=seq(0,100,by=0.1))
out2 <- list(name='Cc', time=seq(0,100,by=0.1))
f  <- list(out1, out2)
nf <- length(f)
info <- info_res(f)

server <- function(input, output) {
  ref <- reactive({
    input$butref
    p <- list(name  = c('Cl', 'V', 'Ntt', 'ka', 'tg', 'kEhc', 'Fent', 'kb'),
              value = isolate(c(input$Cl, input$V, input$Ntt, input$ka, input$tg, input$kEhc, input$Fent, input$kb)))
    t1 <- isolate(input$tfd1)
    t2 <- isolate(input$ii1)*(isolate(input$nd1)-1)+t1
    t.dose <- seq(t1,t2,by=isolate(input$ii1))
    adm <- list(time=t.dose, amount=isolate(input$amount1))
    r <- simulx( model     = 'model.txt',
                 treatment = adm,
                 parameter = p,
                 output    = f)

    ref <- merge_res(r,f)
    return(ref)
  })
  
  res <- reactive({
    p <- list(name  = c('Cl', 'V', 'Ntt', 'ka', 'tg', 'kEhc', 'Fent', 'kb'),
              value = c(input$Cl, input$V, input$Ntt, input$ka, input$tg, input$kEhc, input$Fent, input$kb))
    t1 <- input$tfd1
    t2 <- input$ii1*(input$nd1-1)+t1
    t.dose <- seq(t1,t2,by=input$ii1)
    adm <- list(time=t.dose, amount=input$amount1)                     
    r <- simulx( model     = 'model.txt',
                 treatment = adm,
                 parameter = p,
                 output    = f)
                     
    res <- merge_res(r,f)
    return(res)
  })  
  
  output$plot <- renderPlot({
    res=res()
   ref=ref()    
    gr.txt <- "grid.arrange("
    for (j in (1:length(f))){
      xj <- "time"
      fj <- f[[j]]
      name.fj <- fj$name

   eval(parse(text=paste0("inputyj=input$out",j)))  
  i.plot=FALSE
  if (!is.null(inputyj)){
    ij <- which(name.fj %in% inputyj)
    if (length(ij>0)){
      eval(parse(text=paste0("inputxj=input$x",j)))
      if (!is.null(inputxj))
        xj <- inputxj
    }
    i.plot=TRUE
  }
  else if (is.null(inputyj) & length(f)==1){
    ij=1
    i.plot=TRUE
  }
  if (i.plot){
    pl <- ggplotmlx()
    nfj <- length(name.fj)
    for (k in (1:nfj)){
      if (k %in% ij){
           if (input$boxref==TRUE){
      pj <- paste0('pl <- pl + geom_path(data=ref, aes(x=',xj,',y=',name.fj[k],'),colour="grey",size=0.75)')
      eval(parse(text=pj))
    }
   pj <- paste0('pl <- pl + geom_path(data=res, aes(x=',xj,',y=',name.fj[k],',colour="',info[[j]]$colour[k],'"),size=0.75)')
    eval(parse(text=pj))
      }  
    }
    pl <- pl + scale_colour_manual(values=info[[j]]$values, labels=info[[j]]$labels)
    print(pl)
    if (length(ij)>1){
      if (!is.null(input$legend) && input$legend==FALSE)
        pl <- pl + theme(legend.position="none")
      else
        pl <- pl + guides(colour=guide_legend(title=NULL)) + theme(legend.position=c(.9, .8))
      pl <- pl + ylab("")
    }else{
      pl <- pl + theme(legend.position="none")
    }
  
      if (input$ilog==TRUE)
       pl=pl + scale_y_log10()
    eval(parse(text=paste0("pl",j," <- pl")))
    gr.txt <- paste0(gr.txt,"pl",j,",")
  }
    }
    gr.txt <- paste0(gr.txt,"ncol=1)")
    eval(parse(text=gr.txt))
  }, height = 500)
}