GUI:

- Uploading of text files works
- The current summary is always shown



git-svn-id: svn+ssh://svn.r-forge.r-project.org/svnroot/kinfit/pkg/mkin@144 edb9625f-4e0d-4859-8d74-9fd3b1da38cb

1 files changed, 30 insertions, 19 deletions

diff --git a/inst/GUI/mkinGUI.R b/inst/GUI/mkinGUI.R
index f5c30767..c939f700 100644
--- a/inst/GUI/mkinGUI.R
+++ b/inst/GUI/mkinGUI.R
@@ -161,6 +161,9 @@ upload_file_handler <- function(h, ...)
   if (length(f) > 0) update_f.df()

   else f.df <- f.df.empty

   f.gtable[,] <- f.df

+  ftmp <<- f[[f.cur]]

+  stmp <<- s[[f.cur]]

+  ds.i <<- ds.cur

   update_plotting_and_fitting()

 }

 save_to_file_handler <- function(h, ...)

@@ -229,13 +232,12 @@ gbutton("Configure fit for selected model and dataset", cont = dsm,
                                             control.modFit = list(maxiter = 0)))

           ftmp$ds.index <<- ds.i

           ftmp$ds <<- ds[[ds.i]]

-          update_f.df()

-          f.gtable[,] <<- f.df

           stmp <<- summary(ftmp)

           svalue(pf) <- paste0("Dataset ", ds.i, ", Model ", m[[m.i]]$name)

           show_plot("Initial", default = TRUE)

           svalue(f.gg.opts.st) <<- "auto"

           f.gg.parms[,] <- get_Parameters(stmp, FALSE)

+          svalue(f.gg.summary) <- capture.output(stmp)

           svalue(center) <- 3

         })

 

@@ -246,7 +248,7 @@ f.switcher <- function(h, ...) {
   if (svalue(h$obj) != "0") {

     f.cur <<- svalue(h$obj)

     ftmp <<- f[[f.cur]]

-    stmp <<- f[[f.cur]]

+    stmp <<- s[[f.cur]]

     ds.i <<- ftmp$ds.index

     update_plotting_and_fitting()

   }

@@ -270,7 +272,7 @@ copy_dataset_handler <- function(h, ...) {
  

 delete_dataset_handler <- function(h, ...) {

   ds[[ds.cur]] <<- NULL

-  names(ds) <<- names(plots) <<- names(prows) <<- as.character(1:length(ds))

+  names(ds) <<- as.character(1:length(ds))

   ds.cur <<- names(ds)[[1]]

   update_ds.df()

   ds.gtable[,] <- ds.df

@@ -283,9 +285,9 @@ new_dataset_handler <- function(h, ...) {
                         study_nr = 1,

                         title = "",

                         sampling_times = c(0, 1),

-                        time_unit = "NA",

+                        time_unit = "",

                         observed = "parent",

-                        unit = "NA",

+                        unit = "",

                         replicates = 1,

                         data = data.frame(

                                           name = "parent",

@@ -303,7 +305,7 @@ new_dataset_handler <- function(h, ...) {
 

 new_ds_from_csv_handler <- function(h, ...) {

   tmpfile <- normalizePath(svalue(h$obj), winslash = "/")

-  tmpd <- try(read.table(tmpfile, sep = "\t", header = TRUE))

+  tmpd <- try(read.table(tmpfile, sep = "\t", header = TRUE, stringsAsFactors = FALSE))

   tmpdw <- mkin_wide_to_long(tmpd)

   if (class(tmpd) != "try-error") {

     ds.cur <<- as.character(1 + length(ds))

@@ -311,15 +313,15 @@ new_ds_from_csv_handler <- function(h, ...) {
                           study_nr = NA,

                           title = "New upload",

                           sampling_times = sort(unique(tmpd$t)),

-                          time_unit = "NA",

+                          time_unit = "",

                           observed = unique(tmpdw$name),

-                          unit = "NA",

+                          unit = "",

                           replicates = max(aggregate(tmpdw$time,

                                                        list(tmpdw$time,

                                                             tmpdw$name),

                                                      length)$x),

                           data = tmpdw)

-    ds[[ds.cur]]$data$override <<- "NA"

+    ds[[ds.cur]]$data$override <<- as.numeric(NA)

     ds[[ds.cur]]$data$err <<- 1

     update_ds.df()

     ds.gtable[,] <- ds.df

@@ -335,10 +337,11 @@ empty_grid_handler <- function(h, ...) {
   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

+    time = as.numeric(rep(sampling_times, each = replicates, times = length(obs))),

+    value = as.numeric(NA),

+    override = as.numeric(NA),

+    err = 1,

+    stringsAsFactors = FALSE

   )

   ds.e.gdf[,] <- new.data

 }

@@ -373,7 +376,7 @@ 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)

 

-gfile(text = "Select csv file", cont = ds.e.2, 

+upload_dataset.gf <- gfile(text = "Upload text file", cont = ds.e.2, 

         handler = new_ds_from_csv_handler)

 

 # Line 3 with forms {{{4

@@ -400,8 +403,9 @@ ds.e.obs <- gedit(paste(ds[[ds.cur]]$observed, collapse = ", "),
 ds.e.obu <- gedit(ds[[ds.cur]]$unit,

                   width = 20, label = "Unit", 

                   cont = ds.e.3b.gfl)

-gbutton("Generate empty grid for kinetic data", cont = ds.e.3b, 

+generate_grid.gb <- gbutton("Generate empty grid for kinetic data", cont = ds.e.3b, 

         handler = empty_grid_handler)

+tooltip(generate_grid.gb) <- "Overwrites the kinetic data shown below"

 

 # Keep button {{{4

 gbutton("Keep changes", cont = ds.editor, handler = keep_ds_changes_handler)

@@ -506,10 +510,12 @@ obs.to <- ""
 

 # Show the model specification {{{4

 show_m_spec <- function() {

-  for (obs.i in 1:length(m.observed)) {

+  for (obs.i in 1:length(m[[m.cur]]$spec)) {

+    obs.name <- names(m[[m.cur]]$spec)[[obs.i]]

     m.e.rows[[obs.i]] <<- ggroup(cont = m.editor, horizontal = TRUE)

-    m.e.obs[[obs.i]] <<- gcombobox(observed.all, selected = obs.i, 

+    m.e.obs[[obs.i]] <<- gcombobox(observed.all, selected = 0, 

                                   cont = m.e.rows[[obs.i]])

+    svalue(m.e.obs[[obs.i]]) <<- obs.name

     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

@@ -613,6 +619,7 @@ run_fit <- function() {
   show_plot("Optimised")

   svalue(f.gg.opts.st) <- ftmp$solution_type

   f.gg.parms[,] <- get_Parameters(stmp, TRUE)

+  svalue(f.gg.summary) <- capture.output(stmp)

 }

 ds.i <- m.i <- "1"

 f.cur <- "0"

@@ -670,6 +677,9 @@ keep.fit.gb <- gbutton("Keep",
                           }, cont = f.gg.buttons)

 tooltip(keep.fit.gb) <- "Store the optimised model with all settings and the current dataset in the fit list"

 

+# Area for summary

+f.gg.summary <- gtext(capture.output(stmp), cont = pf, use.codemirror = TRUE)

+

 delete.fit.gb <- gbutton("Delete", handler = function(h, ...) {

           if (length(f) > 0) {

             f[[f.cur]] <<- NULL

@@ -681,7 +691,7 @@ delete.fit.gb <- gbutton("Delete", handler = function(h, ...) {
             update_f.df()

             f.cur <<- "1"

             ftmp <<- f[[f.cur]]

-            stmp <<- f[[f.cur]]

+            stmp <<- s[[f.cur]]

             ds.i <<- ftmp$ds.index

             update_plotting_and_fitting()

           } else {

@@ -699,5 +709,6 @@ update_plotting_and_fitting <- function() {
   show_plot("Optimised")  

   svalue(f.gg.opts.st) <- ftmp$solution_type

   f.gg.parms[,] <- get_Parameters(stmp, TRUE)

+  svalue(f.gg.summary) <- capture.output(stmp)

 }

 # vim: set foldmethod=marker ts=2 sw=2 expandtab: {{{1