Add initial weighting choice to GUI

1 files changed, 16 insertions, 3 deletions

diff --git a/inst/GUI/mkinGUI.R b/inst/GUI/mkinGUI.R
index fb8f22ab..d6fb82e3 100644
--- a/inst/GUI/mkinGUI.R
+++ b/inst/GUI/mkinGUI.R
@@ -235,7 +235,8 @@ gbutton("Configure fit for selected model and dataset", cont = dsm,
           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"

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

+          svalue(f.gg.opts.weight) <<- "manual"

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

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

           svalue(center) <- 3

@@ -568,7 +569,6 @@ show_plot <- function(type, default = FALSE) {
     ftmp$ds <<- ds[[ds.i]]

   } 

 

-  #tmp <- get_tempfile(ext=".svg")

   svg(tf, width = 7, height = 5)

   plot(ftmp, main = ftmp$ds$title,

        xlab = ifelse(ftmp$ds$time_unit == "", "Time", 

@@ -608,18 +608,26 @@ run_fit <- function() {
   iniparms <- Parameters.ini$Initial

   names(iniparms) <- sub("_0", "", Parameters.ini$Name)

   inifixed <- names(iniparms[Parameters.ini$Fixed])

+  weight <- svalue(f.gg.opts.weight)

+  if (weight == "manual") {

+    err = "err"

+  } else {

+    err = NULL

+  }

   ftmp <<- mkinfit(ftmp$mkinmod, override(ds[[ds.i]]$data),

                    state.ini = iniparms,

                    fixed_initials = inifixed,

                    parms.ini = deparms, 

                    fixed_parms = defixed,

                    solution_type = svalue(f.gg.opts.st),

-                   err = "err")

+                   weight = weight,

+                   err = err)

   ftmp$ds.index <<- ds.i

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

   stmp <<- summary(ftmp)

   show_plot("Optimised")

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

+  svalue(f.gg.opts.weight) <- ftmp$weight.ini

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

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

 }

@@ -646,9 +654,13 @@ dev.off()
 plot.gs <- gsvg(tf, container = f.gg.mid, width = 490, height = 350)

 f.gg.opts <- gformlayout(cont = f.gg.mid)

 solution_types <- c("auto", "analytical", "eigen", "deSolve")

+weights <- c("manual", "none", "std", "mean")

 f.gg.opts.st <- gcombobox(solution_types, selected = 1, 

                           label = "solution_type", width = 200, 

                           cont = f.gg.opts)

+f.gg.opts.weight <- gcombobox(weights, selected = 1, 

+                          label = "weight", width = 200, 

+                          cont = f.gg.opts)

 

 # Dataframe with initial and optimised parameters {{{3

 f.gg.parms <- gdf(Parameters, width = 420, height = 300, cont = pf, 

@@ -717,6 +729,7 @@ update_plotting_and_fitting <- function() {
                        ", Model ", ftmp$mkinmod$name)

   show_plot("Optimised")  

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

+  svalue(f.gg.opts.weight) <- ftmp$weight.ini

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

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

 }