path: root/inst/GUI/simple.R

# $Id$ {{{1

# Simple gWidgetsWWW2 GUI for mkin

# Copyright (C) 2013 Johannes Ranke
# Contact: jranke@uni-bremen.de, johannesranke@eurofins.com

# This file is part of the R package mkin

# mkin is free software: you can redistribute it and/or modify it under the
# terms of the GNU 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 General Public License for more
# details.

# You should have received a copy of the GNU General Public License along with
# this program. If not, see <http://www.gnu.org/licenses/>
require(mkin) # {{{1
# Set the GUI title and create the parent frame {{{1
GUI_title <- "Simple Browser based GUI for kinetic evaluations using mkin"
w <- gwindow(GUI_title)
sb <- gstatusbar("Powered by gWidgetsWWW2 and Rook", cont = w)
g <- gframe(GUI_title, cont = w, use.scrollwindow = TRUE, horizontal = FALSE)
# Set default values for project data {{{1
# Initial project file name {{{2
project_file <- "mkin_FOCUS_2006.RData"
# Initial studies {{{2
studies.df <- data.frame(Index = as.integer(1), 
                         Author = "FOCUS kinetics workgroup",
                         Year = "2006", 
                         Title = "FOCUS Kinetics",
                         stringsAsFactors = FALSE)

# Initial datasets {{{2
ds <- list()
observed.all <- vector()
for (i in 1:2) {
  ds.letter = LETTERS[i + 2]
  ds.index <- as.character(i)
  ds.name = paste0("FOCUS_2006_", ds.letter)
  ds[[ds.index]] <- list(
    study_nr = 1,
    title = paste("FOCUS example dataset", ds.letter),
    sampling_times = unique(get(ds.name)$time),
    time_unit = "",
    observed = as.character(unique(get(ds.name)$name)),
    unit = "% AR",
    replicates = 1,
    data = get(ds.name)
  )
  ds[[ds.index]]$data$name <- as.character(ds[[ds.index]]$data$name)
  ds[[ds.index]]$data$override = as.numeric(NA)
  ds[[ds.index]]$data$err = 1
}
# Initial models {{{2
m <- list()
m[["1"]] <- mkinmod(parent = list(type = "SFO"))
m[["1"]]$name = "SFO"
m[["2"]] <- mkinmod(parent = list(type = "FOMC"))
m[["2"]]$name = "FOMC"
m[["3"]] <- mkinmod(parent = list(type = "DFOP"))
m[["3"]]$name = "DFOP"
m[["4"]] <- mkinmod(parent = list(type = "SFO", to = "m1"),
                          m1 = list(type = "SFO"),
                          use_of_ff = "max")
m[["4"]]$name = "SFO_SFO"
# Initial fit lists {{{2
override <- function(d) {
  data.frame(name = d$name, time = d$time, 
             value = ifelse(is.na(d$override), d$value, d$override),
             err = d$err)
}
# The GUI elements for each dataset are kept in lists
f.gg <- f.gg.sel <- f.gg.parms <- f.gg.opts <- list()
# The fits and summaries are collected in a list of lists
f <- s <- list()
for (ds.i in 1:length(ds)) {
  f[[as.character(ds.i)]] <- list()
  s[[as.character(ds.i)]] <- list()
}
# Data frames with datasets, models and fits to be continuosly updated {{{1
# Dataframe with datasets for selection {{{2
update_ds.df <- function() {
  ds.n <- length(ds)
  ds.df <<- data.frame(Index = 1:ds.n, 
                       Title = character(ds.n),
                       Study = character(ds.n), 
                       stringsAsFactors = FALSE)
  for (i in 1:ds.n)
  {
    ds.index <- names(ds)[[i]]
    ds.df[i, "Title"] <<- ds[[ds.index]]$title
    ds.df[i, "Study"] <<- ds[[ds.index]]$study_nr
    observed = as.character(unique(ds[[ds.index]]$data$name))
    observed.all <<- union(observed, observed.all)
  }
}
ds.df <- data.frame()
update_ds.df()
ds.cur = "1"
# Dataframe with models for selection {{{2
update_m.df <- function() {
  m.n <- length(m)
  m.df <<- data.frame(Index = 1:m.n, 
                      Name = character(m.n),
                      stringsAsFactors = FALSE)
  for (i in 1:m.n) {
    m.index <- names(m)[[i]]
    m.df[i, "Name"] <<- m[[m.index]]$name
  }
}
m.df <- data.frame()
update_m.df()
m.cur = "1"
# Expandable group for project data management {{{1
prg <- gexpandgroup("Project file management", cont = g)
# Project data management handler functions {{{2
upload_file_handler <- function(h, ...)
{
  tmpfile <- normalizePath(svalue(h$obj), winslash = "/")
  try(load(tmpfile))
  project_file <<- pr.gf$filename
  svalue(wf.ge) <- project_file
  studies.gdf[,] <- studies.df 
  ds.cur <<- "1"
  ds <<- ds
  update_ds.df()
  ds.gtable[,] <- ds.df
  update_ds_editor()
  m.cur <<- "1"
  m <<- m
  update_m.df()
  m.gtable[,] <- m.df
  update_m_editor()
}
save_to_file_handler <- function(h, ...)
{
   studies.df <- data.frame(studies.gdf[,], stringsAsFactors = FALSE)
   save(studies.df, ds, m, file = project_file)
   galert(paste("Saved project contents to", project_file), parent = w)
}
# Project data management GUI elements {{{2
pr.vg <- ggroup(cont = prg, horizontal = FALSE)
pr.hg <- ggroup(cont = pr.vg, horizontal = TRUE)
pr.gf <- gfile(text = "Select project file", cont = pr.hg,
               handler = upload_file_handler)
pr.vg2 <- ggroup(cont = pr.hg, horizontal = FALSE)
pr.hg2 <- ggroup(cont = pr.vg2, horizontal = TRUE)
glabel("Current project file name is", cont = pr.hg2)
change_project_file_handler = function(h, ...) {
  project_file <<- as.character(svalue(h$obj))
}
wf.ge <- gedit(project_file, cont = pr.hg2, 
               handler = change_project_file_handler)

gbutton("Save current project contents to this file", cont = pr.vg2,
        handler = save_to_file_handler)

# Expandable group for studies {{{1
stg <- gexpandgroup("Studies", cont = g)
update_study_selector <- function(h, ...) {
  delete(ds.e.1, ds.study.gc)
  ds.study.gc <<- gcombobox(paste("Study", studies.gdf[,1]), cont = ds.e.1) 
  svalue(ds.study.gc, index = TRUE) <- ds[[ds.cur]]$study_nr
}
studies.gdf <- gdf(studies.df, name = "Studies in the project",
                   width = 500, height = 200, cont = stg)
studies.gdf$set_column_width(1, 40)
studies.gdf$set_column_width(2, 200)
addHandlerChanged(studies.gdf, update_study_selector)

# Datasets and models {{{1
dsm <- gframe("Datasets and models - double click to edit", cont = g,
              horizontal = TRUE)
 
# Dataset table with handler {{{2
ds.switcher <- function(h, ...) {
  ds.cur <<- as.character(svalue(h$obj))
  update_ds_editor()
  visible(dse) <- TRUE
  visible(me) <- FALSE
}
ds.gtable <- gtable(ds.df, multiple = TRUE, cont = dsm)
addHandlerDoubleClick(ds.gtable, ds.switcher)
size(ds.gtable) <- list(columnWidths = c(40, 200, 40))

# Model table with handler {{{2
m.switcher <- function(h, ...) {
  m.cur <<- as.character(svalue(h$obj))
  update_m_editor()
  visible(dse) <- FALSE
  visible(me) <- TRUE
}
m.gtable <- gtable(m.df, multiple = TRUE, cont = dsm)
addHandlerDoubleClick(m.gtable, m.switcher)
size(m.gtable) <- list(columnWidths = c(40, 200))

# Section for selecting datasets and model {{{2
dsmsel <- gvbox(cont = dsm)
show_plot <- function(ds.i, type) {
  m.i <- as.character(svalue(f.gg.sel[[ds.i]], index = TRUE))
  ow <- options("warn")
  options(warn = -1)
  Parameters <- f.gg.parms[[ds.i]][,]
  Parameters.de <- subset(Parameters, Type == "deparm", type)
  stateparms <- subset(Parameters, Type == "state")[[type]]
  deparms <- as.numeric(Parameters.de[[type]])
  names(deparms) <- rownames(Parameters.de)
  if (type == "Initial") {
    f[[ds.i]][[m.i]] <- mkinfit(m[[m.i]], override(ds[[ds.i]]$data),
                                 state.ini = stateparms,
                                 parms.ini = deparms,
                                 err = "err", control.modFit = list(maxiter = 0))
  }

  options(ow)
  tmp <- get_tempfile(ext=".svg")
  svg(tmp, width = 7, height = 5)
  plot(f[[ds.i]][[m.i]], main = ds[[ds.i]]$title,
       xlab = ifelse(ds[[ds.i]]$time_unit == "", "Time", 
                     paste("Time in", ds[[ds.i]]$time_unit)),
       ylab = ifelse(ds[[ds.i]]$unit == "", "Observed", 
                     paste("Observed in", ds[[ds.i]]$unit)))
  dev.off()
  svalue(plots[[ds.i]]) <<- tmp
}
get_Parameters <- function(stmp, optimised)
{
  pars <- rbind(stmp$start[1:2], stmp$fixed)

  pars$fixed <- c(rep(FALSE, length(stmp$start$value)),
                  rep(TRUE, length(stmp$fixed$value)))
  pars$name <- rownames(pars)
  Parameters <- data.frame(Name = pars$name,
                           Type = pars$type,
                           Initial = pars$value,
                           Fixed = pars$fixed,
                           Optimised = as.numeric(NA))
  Parameters <- rbind(subset(Parameters, Type == "state"),
                      subset(Parameters, Type == "deparm"))
  rownames(Parameters) <- Parameters$Name
  if (optimised) {
    Parameters[rownames(stmp$bpar), "Optimised"] <- stmp$bpar[, "Estimate"]
  }
  return(Parameters)
}
run_fit <- function(ds.i) {
  m.i <- as.character(svalue(f.gg.sel[[ds.i]], index = TRUE))
  Parameters <- f.gg.parms[[ds.i]][,]
  Parameters.de <- subset(Parameters, Type == "deparm")
  deparms <- Parameters.de$Initial
  names(deparms) <- rownames(Parameters.de)
  f[[ds.i]][[m.i]] <- mkinfit(m[[m.i]], override(ds[[ds.i]]$data),
                              state.ini = subset(Parameters,
                                                 Type == "state")$Initial,
                              parms.ini = deparms, 
                              err = "err")
  s[[ds.i]][[m.i]] <- summary(f[[ds.i]][[m.i]])
  f.gg.parms[[ds.i]][,] <- get_Parameters(s[[ds.i]][[m.i]], TRUE)
  show_plot(ds.i, "Optimised")
}
select_model_handler <- function(h, ...) {
  m.i <- as.character(svalue(h$obj, index = TRUE))
  if (is.null(f[[ds.i]][[m.i]])) {
    f[[ds.i]][[m.i]] <<- mkinfit(m[[m.i]], override(ds[[ds.i]]$data),
                                err = "err", control.modFit = list(maxiter = 0))
  }
  if (is.na(f.gg.parms[[ds.i]][1, "Optimised"])) {
    f.gg.parms[[ds.i]][,] <- get_Parameters(summary(f[[ds.i]][[m.i]]), FALSE)
    show_plot(ds.i, "Initial")
  } else {
    f.gg.parms[[ds.i]][,] <- get_Parameters(s[[ds.i]][[m.i]], TRUE)
    show_plot(ds.i, "Optimised")
  }
}
show_fit_config <- function(ds.i) {
  ftmp <- f[[ds.i]][["1"]]
  stmp <- summary(ftmp)
  Parameters <- get_Parameters(stmp, FALSE)
  f.gg[[ds.i]] <<- gvbox(cont = prows[[ds.i]])

  f.gg.head <- ggroup(cont = f.gg[[ds.i]])
  f.gg.sel[[ds.i]] <- gcombobox(m.df$Name, sel = 1, cont = f.gg.head,
                                handler = select_model_handler)
  gbutton("Show initial", 
          handler = function(h, ...) show_plot(ds.i, "Initial"),
          cont = f.gg.head)
  gbutton("Run", handler = function(h, ...) run_fit(ds.i),
          cont = f.gg.head)

  f.gg.rest <- ggroup(cont = f.gg[[ds.i]])
  f.gg.parms[[ds.i]] <<- gdf(Parameters, width = 420, height = 300,
                             cont = f.gg.rest, 
                             do_add_remove_buttons = FALSE)
  f.gg.parms[[ds.i]]$set_column_width(1, 200)
  f.gg.parms[[ds.i]]$set_column_width(2, 50)
  f.gg.parms[[ds.i]]$set_column_width(3, 60)
  f.gg.parms[[ds.i]]$set_column_width(4, 50)
  f.gg.parms[[ds.i]]$set_column_width(5, 60)

  f.gg.opts[[ds.i]] <<- gformlayout(cont = f.gg.rest)
  solution_types <- character()
  if (length(ftmp$mkinmod$map) == 1) solution_types <- "analytical"
  if (is.matrix(ftmp$mkinmod$coefmat)) solution_types <- c(solution_types, "eigen")
  solution_types <- c(solution_types, "deSolve")

  gcombobox(solution_types, selected = 1, 
            label = "solution_type", 
            cont = f.gg.opts[[ds.i]])
}
#configure_fits_handler <- function(h, ...) {
#  ds.sel <- as.character(svalue(ds.gtable))
#  m.sel <- as.character(svalue(m.gtable))
#}
#dsconfig <- gbutton("Configure fits for selections", cont = dsmsel, 
#                  handler = configure_fits_handler)
 
# Expandable group for the dataset editor {{{1
dse <- gexpandgroup("Dataset editor", cont = g, horizontal = FALSE)
visible(dse) <- FALSE

# Handler functions {{{3
copy_dataset_handler <- function(h, ...) {
  ds.old <- ds.cur
  ds.cur <<- as.character(1 + length(ds))
  svalue(ds.editor) <- paste("Dataset", ds.cur)
  ds[[ds.cur]] <<- ds[[ds.old]]
  update_ds.df()
  ds.gtable[,] <- ds.df
  prows[[ds.cur]] <<- ggroup(cont = pfv)
  plots[[ds.cur]] <<- gsvg(svg_plot(ds.cur), 
                        container = prows[[ds.cur]], 
                        width = 490, height = 350)
}
 
delete_dataset_handler <- function(h, ...) {
  ds[[ds.cur]] <<- NULL
  delete(pfv, prows[[ds.cur]])
  names(ds) <<- names(plots) <<- names(prows) <<- as.character(1:length(ds))
  ds.cur <<- names(ds)[[1]]
  update_ds.df()
  ds.gtable[,] <- ds.df
  update_ds_editor()
}
 
new_dataset_handler <- function(h, ...) {
  ds.cur <<- as.character(1 + length(ds))
  ds[[ds.cur]] <<- list(
                        study_nr = 1,
                        title = "",
                        sampling_times = c(0, 1),
                        time_unit = "NA",
                        observed = "parent",
                        unit = "NA",
                        replicates = 1,
                        data = data.frame(
                                          name = "parent",
                                          time = c(0, 1),
                                          value = c(100, NA),
                                          override = "NA",
                                          err = 1,
                                          stringsAsFactors = FALSE
                                          )
                        )
  update_ds.df()
  ds.gtable[,] <- ds.df
  update_ds_editor()
  prows[[ds.cur]] <<- ggroup(cont = pfv)
  plots[[ds.cur]] <<- gsvg(svg_plot(ds.cur), 
                        container=prows[[ds.cur]], 
                        width = 490, height = 350)
}

empty_grid_handler <- function(h, ...) {
  obs <- strsplit(svalue(ds.e.obs), ", ")[[1]]
  sampling_times <- strsplit(svalue(ds.e.st), ", ")[[1]]
  replicates <- as.numeric(svalue(ds.e.rep))
  new.data = data.frame(
    name = rep(obs, each = replicates * length(sampling_times)),
    time = rep(sampling_times, each = replicates, times = length(obs)),
    value = NA,
    override = NA,
    err = 1
  )
  ds.e.gdf[,] <- new.data
}

save_ds_changes_handler <- function(h, ...) {
  ds[[ds.cur]]$title <<- svalue(ds.title.ge)
  ds[[ds.cur]]$study_nr <<- as.numeric(gsub("Study ", "", svalue(ds.study.gc)))
  update_ds.df()
  ds.gtable[,] <- ds.df
  tmpd <- ds.e.gdf[,]
  ds[[ds.cur]]$data <<- tmpd
  ds[[ds.cur]]$sampling_times <<- sort(unique(tmpd$time))
  ds[[ds.cur]]$time_unit <<- svalue(ds.e.stu)
  ds[[ds.cur]]$observed <<- unique(tmpd$name)
  ds[[ds.cur]]$unit <<- svalue(ds.e.obu)
  ds[[ds.cur]]$replicates <<- max(aggregate(tmpd$time, 
                                            list(tmpd$time, tmpd$name), length)$x)
  update_ds_editor()
  update_plot()
}
 

# Widget setup {{{3
ds.editor <- gframe("Dataset 1", horizontal = FALSE, cont = dse)
# Line 1 {{{4
ds.e.1 <- ggroup(cont = ds.editor, horizontal = TRUE)
glabel("Title: ", cont = ds.e.1) 
ds.title.ge <- gedit(ds[[ds.cur]]$title, cont = ds.e.1) 
glabel(" from ", cont = ds.e.1) 
ds.study.gc <- gcombobox(paste("Study", studies.gdf[,1]), cont = ds.e.1) 

# Line 2 {{{4
ds.e.2 <- ggroup(cont = ds.editor, horizontal = TRUE)
gbutton("Copy dataset", cont = ds.e.2, handler = copy_dataset_handler)
gbutton("Delete dataset", cont = ds.e.2, handler = delete_dataset_handler)
gbutton("New dataset", cont = ds.e.2, handler = new_dataset_handler)

# Line 3 with forms {{{4
ds.e.forms <- ggroup(cont= ds.editor, horizontal = TRUE)

ds.e.3a <- gvbox(cont = ds.e.forms)
ds.e.3a.gfl <- gformlayout(cont = ds.e.3a)
ds.e.st  <- gedit(paste(ds[[ds.cur]]$sampling_times, collapse = ", "),
                  width = 50,
                  label = "Sampling times", 
                  cont = ds.e.3a.gfl)
ds.e.stu <- gedit(ds[[ds.cur]]$time_unit, 
                  width = 20,
                  label = "Unit", cont = ds.e.3a.gfl)
ds.e.rep <- gedit(ds[[ds.cur]]$replicates, 
                  width = 20,
                  label = "Replicates", cont = ds.e.3a.gfl)

ds.e.3b <- gvbox(cont = ds.e.forms)
ds.e.3b.gfl <- gformlayout(cont = ds.e.3b)
ds.e.obs <- gedit(paste(ds[[ds.cur]]$observed, collapse = ", "),
                  width = 50,
                  label = "Observed", cont = ds.e.3b.gfl)
ds.e.obu <- gedit(ds[[ds.cur]]$unit,
                  width = 20, label = "Unit", 
                  cont = ds.e.3b.gfl)
gbutton("Generate empty grid for kinetic data", cont = ds.e.3b, 
        handler = empty_grid_handler)

# Save button {{{4
gbutton("Save changes", cont = ds.editor, handler = save_ds_changes_handler)

# Kinetic Data {{{4
ds.e.gdf <- gdf(ds[[ds.cur]]$data, name = "Kinetic data", 
                width = 700, height = 700, cont = ds.editor)
ds.e.gdf$set_column_width(2, 70)
enter_next_value_handler <- function(h, ...) galert("next value", parent = w)
addHandlerChanged(ds.e.gdf, enter_next_value_handler)

# Update the dataset editor {{{3
update_ds_editor <- function() {
  svalue(ds.editor) <- paste("Dataset", ds.cur)
  svalue(ds.title.ge) <- ds[[ds.cur]]$title
  svalue(ds.study.gc, index = TRUE) <- ds[[ds.cur]]$study_nr

  svalue(ds.e.st) <- paste(ds[[ds.cur]]$sampling_times, collapse = ", ")
  svalue(ds.e.stu) <- ds[[ds.cur]]$time_unit
  svalue(ds.e.obs) <- paste(ds[[ds.cur]]$observed, collapse = ", ")
  svalue(ds.e.obu) <- ds[[ds.cur]]$unit
  svalue(ds.e.rep) <- ds[[ds.cur]]$replicates

  ds.e.gdf[,] <- ds[[ds.cur]]$data
}

# Expandable group for the model editor {{{1
me <- gexpandgroup("Model editor", cont = g, horizontal = FALSE)
visible(me) <- FALSE

# Handler functions {{{3
copy_model_handler <- function(h, ...) {
  m.old <- m.cur
  m.cur <<- as.character(1 + length(m))
  svalue(m.editor) <- paste("Model", m.cur)
  m[[m.cur]] <<- m[[m.old]]
  update_m.df()
  m.gtable[,] <- m.df
}
 
delete_model_handler <- function(h, ...) {
  m[[m.cur]] <<- NULL
  names(m) <<- as.character(1:length(m))
  m.cur <<- "1"
  update_m.df()
  m.gtable[,] <- m.df
  update_m_editor()
}

add_observed_handler <- function(h, ...) {
  obs.i <- length(m.e.rows) + 1
  m.e.rows[[obs.i]] <<- ggroup(cont = m.editor, horizontal = TRUE)
  m.e.obs[[obs.i]] <<- gcombobox(observed.all, selected = obs.i, 
                                cont = m.e.rows[[obs.i]])
  m.e.type[[obs.i]] <<- gcombobox(c("SFO", "FOMC", "DFOP", "HS", "SFORB"),
                                 cont = m.e.rows[[obs.i]])
  svalue(m.e.type[[obs.i]]) <- "SFO"
  glabel("to", cont = m.e.rows[[obs.i]]) 
  m.e.to[[obs.i]] <<- gedit("", cont = m.e.rows[[obs.i]])
  m.e.sink[[obs.i]] <<- gcheckbox("Path to sink", 
                                  checked = TRUE, cont = m.e.rows[[obs.i]]) 
  gbutton("Remove compound", handler = remove_compound_handler, 
          action = obs.i, cont = m.e.rows[[obs.i]])
}

remove_compound_handler <- function(h, ...) {
  m[[m.cur]]$spec[[h$action]] <<- NULL
  update_m_editor()
}

save_m_changes_handler <- function(h, ...) {
  spec <- list()
  for (obs.i in 1:length(m.e.rows)) {
    spec[[obs.i]] <- list(type = svalue(m.e.type[[obs.i]]),
                          to = svalue(m.e.to[[obs.i]]),
                          sink = svalue(m.e.sink[[obs.i]]))
    if(spec[[obs.i]]$to == "") spec[[obs.i]]$to = NULL
    names(spec)[[obs.i]] <- svalue(m.e.obs[[obs.i]])
  }
  m[[m.cur]] <<- mkinmod(use_of_ff = svalue(m.ff.gc), 
                         speclist = spec)
  m[[m.cur]]$name <<- svalue(m.name.ge) 
  update_m.df()
  m.gtable[,] <- m.df
}
 
# Widget setup {{{3
m.editor <- gframe("Model 1", horizontal = FALSE, cont = me)
m.e.0 <- ggroup(cont = m.editor, horizontal = TRUE)
glabel("Model name: ", cont = m.e.0) 
m.name.ge <- gedit(m[[m.cur]]$name, cont = m.e.0) 
glabel("Use of formation fractions: ", cont = m.e.0) 
m.ff.gc <- gcombobox(c("min", "max"), cont = m.e.0)
svalue(m.ff.gc) <- m[[m.cur]]$use_of_ff

# Model handling buttons {{{4
m.e.b <- ggroup(cont = m.editor, horizontal = TRUE)
gbutton("Copy model", cont = m.e.b, handler = copy_model_handler)
gbutton("Delete model", cont = m.e.b, handler = delete_model_handler)
gbutton("Add transformation product", cont = m.e.b, 
        handler = add_observed_handler)
gbutton("Save changes", cont = m.e.b, handler = save_m_changes_handler)


m.observed <- names(m[[m.cur]]$spec)
m.e.rows <- m.e.obs <- m.e.type <- m.e.to <- m.e.sink <- list()
obs.to <- ""

# Show the model specification {{{4
show_m_spec <- function() {
  for (obs.i in 1:length(m.observed)) {
    m.e.rows[[obs.i]] <<- ggroup(cont = m.editor, horizontal = TRUE)
    m.e.obs[[obs.i]] <<- gcombobox(observed.all, selected = obs.i, 
                                  cont = m.e.rows[[obs.i]])
    m.e.type[[obs.i]] <<- gcombobox(c("SFO", "FOMC", "DFOP", "HS", "SFORB"),
                                   cont = m.e.rows[[obs.i]])
    svalue(m.e.type[[obs.i]]) <<- m[[m.cur]]$spec[[obs.i]]$type
    glabel("to", cont = m.e.rows[[obs.i]]) 
    obs.to <<- ifelse(is.null(m[[m.cur]]$spec[[obs.i]]$to), "",
                 m[[m.cur]]$spec[[obs.i]]$to)
    m.e.to[[obs.i]] <<- gedit(obs.to, cont = m.e.rows[[obs.i]])
    m.e.sink[[obs.i]] <<- gcheckbox("Path to sink", checked = m[[m.cur]]$spec[[obs.i]]$sink,
              cont = m.e.rows[[obs.i]]) 
    if (obs.i > 1) {
      gbutton("Remove compound", handler = remove_compound_handler, 
              action = obs.i, cont = m.e.rows[[obs.i]])
    }
  }
}
show_m_spec()

# Update the model editor {{{3
update_m_editor <- function() {
  svalue(m.editor) <- paste("Model", m.cur)
  svalue(m.name.ge) <- m[[m.cur]]$name
  svalue(m.ff.gc) <- m[[m.cur]]$use_of_ff
  for (oldrow.i in 1:length(m.e.rows)) {
    delete(m.editor, m.e.rows[[oldrow.i]])
  }
  m.observed <<- names(m[[m.cur]]$spec)
  m.e.rows <<- m.e.obs <<- m.e.type <<- m.e.to <<- m.e.sink <<- list()
  show_m_spec()
}

# 3}}}
# 2}}}
# Plots and fits {{{1
pf <- gframe("Plots and fitting", cont = g)
pfv <- gvbox(cont = pf)
prows <- plots <- list()

svg_plot <- function(ds.i) {
    d <- ds[[ds.i]]

    f <- get_tempfile(ext=".svg")
    svg(f, width = 7, height = 5)
      plot(0, type = "n",
           xlim = c(0, max(d$data$time, na.rm = TRUE)),
           xlab = ifelse(d$time_unit == "", "Time",
                         paste("Time in", d$time_unit)),
           ylim = c(0, max(d$data$value, na.rm = TRUE)),
           ylab = ifelse(d$unit == "", "Observed", 
                         paste("Observed in", d$unit)),
           main = d$title)
      pointcolor = 1
      for (obs_var in d$observed) {
        points(subset(d$data, name == obs_var, c(time, value)), 
               col = pointcolor)
        pointcolor = pointcolor + 1
      }
      legend("topright", inset = c(0.05, 0.05), legend = d$observed,
             pch = 1, col = 1:length(d$observed))
    dev.off()
    return(f)
}

# Show the plots and the fit configuration
for (ds.i in 1:length(ds)) {
  ds.plot <- as.character(ds.i)
  prows[[ds.plot]] <- ggroup(cont = pfv)
  plots[[ds.plot]] <- gsvg(svg_plot(ds.plot), 
                        container=prows[[ds.plot]], 
                        width = 490, height = 350)

 f[[ds.plot]][["1"]] <- mkinfit(m[["1"]], override(ds[[ds.plot]]$data), 
                                 err = "err", control.modFit = list(maxiter = 0))
 show_fit_config(ds.i)
}

update_plot <- function() {
  svalue(plots[[ds.cur]]) <<- svg_plot(ds.cur)
}

# 1}}}
# vim: set foldmethod=marker foldlevel=0 ts=2 sw=2 expandtab: