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-rw-r--r--inst/GUI/mkinGUI.R49
1 files changed, 30 insertions, 19 deletions
diff --git a/inst/GUI/mkinGUI.R b/inst/GUI/mkinGUI.R
index f5c3076..c939f70 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

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