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authorjranke <jranke@edb9625f-4e0d-4859-8d74-9fd3b1da38cb>2013-11-13 21:16:17 +0000
committerjranke <jranke@edb9625f-4e0d-4859-8d74-9fd3b1da38cb>2013-11-13 21:16:17 +0000
commit459b0edad5ccccffe710b9db0c4c22a08ba880cb (patch)
treeeaf5c9a1d334472e9a862da22ce76a15f12fc3eb /inst/GUI/mkinGUI.R
parent1e042dbf513ed1c79824a5e5cba4be17ce23e13a (diff)
Squashed commit of the following:
commit d8dbf2ad866fb9d34cd1100000b9c116219ecef6 Author: Johannes Ranke <jranke@uni-bremen.de> Date: Wed Nov 13 22:09:41 2013 +0100 Add possibility to control more mkinfit arguments from the GUI commit 8f1bae2142b37a0ff6b8989b2d1569686937f68e Author: Johannes Ranke <jranke@uni-bremen.de> Date: Wed Nov 13 20:30:11 2013 +0100 Add initial weighting choice to GUI commit c99b5c298713a7c14e8ab5604c68613d0b7af27a Author: Johannes Ranke <jranke@uni-bremen.de> Date: Wed Nov 13 16:25:31 2013 +0100 Update of TODO from git bash on Windows commit 8bf2a6f8f6bd752433f06b26b5da334e958f5166 Author: Johannes Ranke <jranke@uni-bremen.de> Date: Wed Nov 13 16:00:01 2013 +0100 Update of README using TortoiseGit git-svn-id: svn+ssh://svn.r-forge.r-project.org/svnroot/kinfit/pkg/mkin@162 edb9625f-4e0d-4859-8d74-9fd3b1da38cb
Diffstat (limited to 'inst/GUI/mkinGUI.R')
-rw-r--r--inst/GUI/mkinGUI.R52
1 files changed, 48 insertions, 4 deletions
diff --git a/inst/GUI/mkinGUI.R b/inst/GUI/mkinGUI.R
index fb8f22ab..07f892e0 100644
--- a/inst/GUI/mkinGUI.R
+++ b/inst/GUI/mkinGUI.R
@@ -235,7 +235,15 @@ 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) <<- ftmp$weight
+ svalue(f.gg.opts.atol) <<- ftmp$atol
+ svalue(f.gg.opts.rtol) <<- ftmp$rtol
+ svalue(f.gg.opts.reweight.method) <<- ifelse(
+ is.null(ftmp$reweight.method),
+ "none", ftmp$reweight.method)
+ svalue(f.gg.opts.reweight.tol) <<- ftmp$reweight.tol
+ svalue(f.gg.opts.reweight.max.iter) <<- ftmp$reweight.max.iter
f.gg.parms[,] <- get_Parameters(stmp, FALSE)
svalue(f.gg.summary) <- capture.output(stmp)
svalue(center) <- 3
@@ -568,7 +576,6 @@ show_plot <- function(type, default = FALSE) {
ftmp$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 +615,34 @@ run_fit <- function() {
iniparms <- Parameters.ini$Initial
names(iniparms) <- sub("_0", "", Parameters.ini$Name)
inifixed <- names(iniparms[Parameters.ini$Fixed])
+ weight <- svalue(f.gg.opts.weight)
+ if (weight == "manual") {
+ err = "err"
+ } else {
+ err = NULL
+ }
+ reweight.method <- svalue(f.gg.opts.reweight.method)
+ if (reweight.method == "none") reweight.method = NULL
ftmp <<- mkinfit(ftmp$mkinmod, override(ds[[ds.i]]$data),
state.ini = iniparms,
fixed_initials = inifixed,
parms.ini = deparms,
fixed_parms = defixed,
solution_type = svalue(f.gg.opts.st),
- err = "err")
+ atol = as.numeric(svalue(f.gg.opts.atol)),
+ rtol = as.numeric(svalue(f.gg.opts.rtol)),
+ weight = weight,
+ err = err,
+ reweight.method = reweight.method,
+ reweight.tol = as.numeric(svalue(f.gg.opts.reweight.tol)),
+ reweight.max.iter = as.numeric(svalue(f.gg.opts.reweight.max.iter))
+ )
ftmp$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$weight.ini
f.gg.parms[,] <- get_Parameters(stmp, TRUE)
svalue(f.gg.summary) <- capture.output(stmp)
}
@@ -643,12 +666,27 @@ tf <- get_tempfile(ext=".svg")
svg(tf, width = 7, height = 5)
plot(ftmp)
dev.off()
-plot.gs <- gsvg(tf, container = f.gg.mid, width = 490, height = 350)
+plot.gs <- gsvg(tf, container = f.gg.mid, width = 420, height = 300)
f.gg.opts <- gformlayout(cont = f.gg.mid)
solution_types <- c("auto", "analytical", "eigen", "deSolve")
f.gg.opts.st <- gcombobox(solution_types, selected = 1,
label = "solution_type", width = 200,
cont = f.gg.opts)
+f.gg.opts.atol <- gedit(ftmp$atol, label = "atol", width = 20,
+ cont = f.gg.opts)
+f.gg.opts.rtol <- gedit(ftmp$rtol, label = "rtol", width = 20,
+ cont = f.gg.opts)
+weights <- c("manual", "none", "std", "mean")
+f.gg.opts.weight <- gcombobox(weights, selected = 1, label = "weight",
+ width = 200, cont = f.gg.opts)
+f.gg.opts.reweight.method <- gcombobox(c("none", "obs"), selected = 1,
+ label = "reweight.method",
+ width = 200,
+ cont = f.gg.opts)
+f.gg.opts.reweight.tol <- gedit(1e-8, label = "reweight.tol",
+ width = 20, cont = f.gg.opts)
+f.gg.opts.reweight.max.iter <- gedit(10, label = "reweight.max.iter",
+ width = 20, cont = f.gg.opts)
# Dataframe with initial and optimised parameters {{{3
f.gg.parms <- gdf(Parameters, width = 420, height = 300, cont = pf,
@@ -717,6 +755,12 @@ update_plotting_and_fitting <- function() {
", Model ", ftmp$mkinmod$name)
show_plot("Optimised")
svalue(f.gg.opts.st) <- ftmp$solution_type
+ svalue(f.gg.opts.weight) <- ftmp$weight.ini
+ svalue(f.gg.opts.reweight.method) <- ifelse(is.null(ftmp$reweight.method),
+ "none",
+ ftmp$reweight.method)
+ svalue(f.gg.opts.reweight.tol) <- ftmp$reweight.tol
+ svalue(f.gg.opts.reweight.max.iter) <- ftmp$reweight.max.iter
f.gg.parms[,] <- get_Parameters(stmp, TRUE)
svalue(f.gg.summary) <- capture.output(stmp)
}

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