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authorJohannes Ranke <jranke@uni-bremen.de>2019-07-08 11:53:01 +0200
committerJohannes Ranke <jranke@uni-bremen.de>2019-07-08 11:53:01 +0200
commit06d7cf75f918e53c9b3c4aa0a9a8654cd7181136 (patch)
treebd2154bc91b40af1d9ad66e5ada7c6eff30fa98a
parent0e9109db089217fea76cb5481db2ed5f3f861f03 (diff)
Start of adaption to mkin 0.9.49.5
-rw-r--r--DESCRIPTION6
-rw-r--r--GNUmakefile5
-rw-r--r--NAMESPACE1
-rw-r--r--NEWS.md6
-rw-r--r--R/gmkin.R16
-rw-r--r--inst/GUI/gmkin.R214
-rw-r--r--man/gmkin.Rd50
-rw-r--r--vignettes/gmkin_manual.html114
8 files changed, 209 insertions, 203 deletions
diff --git a/DESCRIPTION b/DESCRIPTION
index 48444a5..f8765e0 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,8 +1,8 @@
Package: gmkin
Type: Package
Title: Graphical User Interface for Fitting Kinetic Models to Chemical Degradation Data
-Version: 0.6.9
-Date: 2018-09-13
+Version: 0.6.10
+Date: 2019-07-05
Authors@R: c(person("Johannes", "Ranke", role = c("aut", "cre", "cph"),
email = "jranke@uni-bremen.de"),
person("Stefan", "Meinecke", role = "ctb"),
@@ -11,7 +11,7 @@ Description: Browser based graphical user interface for R package mkin, based
on the gWidgetsWWW2 package. Both gmkin and gWidgetsWWW2 are developed on
GitHub, but are also available from the R-Forge repository.
Depends: mkin (>= 0.9.47.3), gWidgetsWWW2 (>= 0.4-7)
-Imports: R6, markdown, plyr
+Imports: R6, markdown, plyr, devEMF
Suggests: knitr, rmarkdown
License: GPL
LazyLoad: yes
diff --git a/GNUmakefile b/GNUmakefile
index a169bf1..5078d82 100644
--- a/GNUmakefile
+++ b/GNUmakefile
@@ -38,7 +38,10 @@ $(TGZVNR): $(pkgfiles)
"$(RBIN)/R" CMD build --no-build-vignettes . ;\
mv $(TGZ) $(TGZVNR)
-build: $(TGZ)
+roxygen:
+ "$(RBIN)/Rscript" -e 'devtools::document()'
+
+build: roxygen $(TGZ)
build-no-vignettes: $(TGZVNR)
diff --git a/NAMESPACE b/NAMESPACE
index 94a784c..2f06213 100644
--- a/NAMESPACE
+++ b/NAMESPACE
@@ -1,6 +1,7 @@
# Generated by roxygen2: do not edit by hand
S3method(print,gmkinws)
+export(gmkin)
export(gmkinws)
importFrom(R6,R6Class)
importFrom(plyr,compact)
diff --git a/NEWS.md b/NEWS.md
index 907a6a1..f9c771f 100644
--- a/NEWS.md
+++ b/NEWS.md
@@ -1,5 +1,11 @@
# NEWS for package 'gmkin'
+## gmkin 0.6-10 (2019-07-06)
+
+- Adapt to mkin 0.9.49.1
+
+- Use devEMF for better vector graphics export for Windows
+
## gmkin 0.6-9 (2018-09-13)
- Enable fits with the two-component error model during iterative reweighting (IRLS)
diff --git a/R/gmkin.R b/R/gmkin.R
index a5d16fb..5d71aa8 100644
--- a/R/gmkin.R
+++ b/R/gmkin.R
@@ -18,6 +18,22 @@
# This makes use of the ::: operator
# To avoid this, gWidgetsWWW2 needs to be adapted
+
+#' Start a graphical user interface (GUI) based on the \code{gWidgetsWWW2} toolkit.
+#'
+#' This function starts a browser based GUI. Please visit the
+#' \href{http://github.com/jverzani/gWidgetsWWW2}{github page of gWidgetsWWW2}
+#' for an explanation how this toolkit works.
+#'
+#' @param script_name During development, a script name with a local working
+#' version of gmkin can be passed. Defaults to the location of the gmkin.R
+#' script shipped with the package.
+#' @param show.log During development, it may be useful to see the log of the
+#' Rook apps.
+#' @return The function is called for its side effect, namely starting the GUI
+#' in a browser. For the curious, the desperate or the adventurous, the gmkin
+#' app (a GWidgetsApp object) is returned.
+#' @export
gmkin <- function(script_name, show.log = FALSE) {
if (missing(script_name)) {
script_name = system.file("GUI/gmkin.R", package = "gmkin")
diff --git a/inst/GUI/gmkin.R b/inst/GUI/gmkin.R
index 3692509..b7ddc13 100644
--- a/inst/GUI/gmkin.R
+++ b/inst/GUI/gmkin.R
@@ -1,6 +1,6 @@
# gWidgetsWWW2 GUI for mkin {{{1
-# Copyright (C) 2013,2014,2015 Johannes Ranke
+# Copyright (C) 2013-2016,2018,2019 Johannes Ranke
# Portions of this file are copyright (C) 2013 Eurofins Regulatory AG, Switzerland
# Contact: jranke@uni-bremen.de
@@ -29,13 +29,13 @@ f_height = 142
save_keybinding = "Shift-F12"
gcb_observed_width = 100
gcb_type_width = 70
-gcb_to_width = 160
+gcb_to_width = 160
gcb_sink_width = 70
# Plotting {{{2
plot_formats <- c("png", "pdf")
-if (exists("win.metafile", "package:grDevices", inherits = FALSE)) {
- plot_formats = c("wmf", plot_formats)
+if (requireNamespace("devEMF", quietly = TRUE)) {
+ plot_formats = c("emf", plot_formats)
}
plot_format <- plot_formats[[1]]
# Options {{{2
@@ -46,7 +46,7 @@ window_title <- paste0("gmkin ", packageVersion("gmkin"),
"- Browser based GUI for kinetic evaluations using mkin")
w <- gwindow(window_title)
sb <- gstatusbar(paste("Powered by gWidgetsWWW2 (ExtJS, Rook)",
- "and mkin (FME, deSolve and minpack.lm)",
+ "and mkin (deSolve, numDeriv)",
"--- Working directory is", getwd()), cont = w)
bl <- gborderlayout(cont = w,
@@ -57,7 +57,7 @@ bl$set_panel_size("west", left_width)
bl$set_panel_size("east", right_width)
center <- gnotebook(cont = bl, where = "center")
-center$add_handler("tabchange",
+center$add_handler("tabchange",
function(h, ...) {
if (svalue(h$obj) == 1) {
svalue(right) <<- 1
@@ -65,7 +65,7 @@ center$add_handler("tabchange",
})
left <- gvbox(cont = bl, use.scrollwindow = TRUE, where = "west", spacing = 0)
right <- gnotebook(cont = bl, use.scrollwindow = TRUE, where = "east")
-right$add_handler("tabchange",
+right$add_handler("tabchange",
function(h, ...) {
if (svalue(h$obj) == 3 && ! model_gallery_created) {
create_model_gallery()
@@ -77,7 +77,7 @@ right$add_handler("tabchange",
# Override function for making it possible to override original data points using the GUI {{{2
override <- function(d) {
if (!is.null(d$override)) {
- d_new <- data.frame(name = d$name, time = d$time,
+ d_new <- data.frame(name = d$name, time = d$time,
value = ifelse(is.na(d$override), d$value, d$override),
err = d$err)
return(d_new)
@@ -89,7 +89,7 @@ override <- function(d) {
update_p.df <- function() {
wd_projects <- gsub(".gmkinws", "", dir(pattern = ".gmkinws$"))
if (length(wd_projects) > 0) {
- p.df.wd <- data.frame(Name = wd_projects,
+ p.df.wd <- data.frame(Name = wd_projects,
Source = rep("working directory",
length(wd_projects)),
stringsAsFactors = FALSE)
@@ -105,8 +105,8 @@ update_ds.df <- function() {
if (is.na(ws$ds[1])) ds.df <<- ds.df.empty
else ds.df <<- data.frame(Title = sapply(ws$ds, function(x) x$title), stringsAsFactors = FALSE)
ds.gtable[,] <- ds.df
- ds.delete$call_Ext("disable")
- ds.copy$call_Ext("disable")
+ ds.delete$call_Ext("disable")
+ ds.copy$call_Ext("disable")
}
# Update dataframe with models {{{2
update_m.df <- function() {
@@ -117,8 +117,8 @@ update_m.df <- function() {
else m.df <<- data.frame(Name = sapply(ws$m, function(x) x$name), stringsAsFactors = FALSE)
m.gtable[,] <- m.df
update_m_editor()
- m.delete$call_Ext("disable")
- m.copy$call_Ext("disable")
+ m.delete$call_Ext("disable")
+ m.copy$call_Ext("disable")
}
# Update dataframe with fits {{{2
update_f.df <- function() {
@@ -131,7 +131,7 @@ update_f.df <- function() {
f.df <<- f.df
f.gtable[,] <- f.df
get.initials.gc[,] <- paste("Result", f.df$Name)
- f.delete$call_Ext("disable")
+ f.delete$call_Ext("disable")
}
# Generate the initial workspace {{{1
# Project workspace {{{2
@@ -177,7 +177,7 @@ f.gf <- gframe("Results", cont = left, horizontal = FALSE, spacing = 0)
p.gtable <- gtable(p.df, cont = p.gf, width = left_width - 10, height = 120,
ext.args = list(resizable = TRUE, resizeHandles = 's'))
size(p.gtable) <- list(columnWidths = c(130, 100))
-p.loaded <- NA # The index of the loaded project. We reset the selection to this when the user
+p.loaded <- NA # The index of the loaded project. We reset the selection to this when the user
# does not confirm
p.modified <- FALSE # Keep track of modifications after loading
p.switcher <- function(h, ...) {
@@ -209,7 +209,7 @@ p.switcher <- function(h, ...) {
}
if (p.modified) {
gconfirm("When you switch projects, you loose any unsaved changes. Proceed to switch?",
- handler = function(h, ...) {
+ handler = function(h, ...) {
switch_project()
})
} else {
@@ -234,8 +234,8 @@ ds.switcher <- function(h, ...) {
svalue(c.ds) <- ds.df[ds.i, "Title"]
ds.cur <<- ws$ds[[ds.i]]
update_ds_editor()
- ds.delete$call_Ext("enable")
- ds.copy$call_Ext("enable")
+ ds.delete$call_Ext("enable")
+ ds.copy$call_Ext("enable")
if (!is.null(svalue(m.gtable, index = TRUE))) {
if (length(svalue(m.gtable)) > 0) {
if (!is.na(svalue(m.gtable))) f.conf$call_Ext("enable")
@@ -251,10 +251,10 @@ addHandlerClicked(ds.gtable, ds.switcher)
m.switcher <- function(h, ...) {
m.i <- h$row_index
svalue(c.m) <- m.df[m.i, "Name"]
- m.cur <<- ws$m[[m.i]]
+ m.cur <<- ws$m[[m.i]]
update_m_editor()
- m.delete$call_Ext("enable")
- m.copy$call_Ext("enable")
+ m.delete$call_Ext("enable")
+ m.copy$call_Ext("enable")
if (!is.null(svalue(ds.gtable, index = TRUE))) {
if (length(svalue(ds.gtable)) > 0) {
if (!is.na(svalue(ds.gtable))) f.conf$call_Ext("enable")
@@ -276,9 +276,9 @@ f.switcher <- function(h, ...) {
} else {
ftmp <<- ws$ftmp
}
- c.ds$call_Ext("setText",
+ c.ds$call_Ext("setText",
paste0("<font color='gray'>", ftmp$ds$title, "</font>"), FALSE)
- c.m$call_Ext("setText",
+ c.m$call_Ext("setText",
paste0("<font color='gray'>", ftmp$mkinmod$name, "</font>"), FALSE)
f.conf$call_Ext("disable")
@@ -300,19 +300,16 @@ c.m <- glabel(empty_conf_labels[2], cont = c.gf, ext.args = list(margin = "0 0 0
update_f_conf <- function() { # {{{3
stmp <<- summary(ftmp)
- svalue(f.gg.opts.plot) <<- FALSE
svalue(f.gg.opts.st) <<- ftmp$solution_type
- svalue(f.gg.opts.weight) <<- ftmp$weight
svalue(f.gg.opts.atol) <<- ftmp$atol
svalue(f.gg.opts.rtol) <<- ftmp$rtol
svalue(f.gg.opts.transform_rates) <<- ftmp$transform_rates
svalue(f.gg.opts.transform_fractions) <<- ftmp$transform_fractions
- svalue(f.gg.opts.reweight.method) <<- ifelse(
- is.null(ftmp$reweight.method), "none", ftmp$reweight.method)
+ svalue(f.gg.opts.error_model) <<- ftmp$error_model
+ svalue(f.gg.opts.error_model_algorithm) <<- ftmp$error_model_algorithm
svalue(f.gg.opts.reweight.tol) <<- ftmp$reweight.tol
svalue(f.gg.opts.reweight.max.iter) <<- ftmp$reweight.max.iter
- svalue(f.gg.opts.maxit.modFit) <<- ftmp$maxit.modFit
- svalue(f.gg.opts.method.modFit) <<- ftmp$method.modFit
+ svalue(f.gg.opts.maxit) <<- ftmp$maxit
show_fit_option_widgets(TRUE)
update_plot_obssel()
f.gg.parms[,] <- get_Parameters(stmp, ftmp$optimised)
@@ -321,7 +318,7 @@ update_f_results <- function() { # {{{3
svalue(r.name) <- ftmp$name
r.parameters[] <- cbind(Parameter = rownames(stmp$bpar), stmp$bpar[, c(1, 4, 5, 6)])
err.min <- 100 * stmp$errmin$err.min
- r.frames.chi2.gt[] <- cbind(Variable = rownames(stmp$errmin),
+ r.frames.chi2.gt[] <- cbind(Variable = rownames(stmp$errmin),
Error = signif(err.min, 3),
n.opt = stmp$errmin$n.optim,
df = stmp$errmin$df)
@@ -350,7 +347,7 @@ update_f_results <- function() { # {{{3
}
update_plot_obssel <- function() {
delete(f.gg.plotopts, f.gg.po.obssel)
- f.gg.po.obssel <<- gcheckboxgroup(names(ftmp$mkinmod$spec),
+ f.gg.po.obssel <<- gcheckboxgroup(names(ftmp$mkinmod$spec),
cont = f.gg.plotopts, checked = TRUE)
}
configure_fit_handler <- function(h, ...) { # Configure fit button {{{3
@@ -362,9 +359,8 @@ configure_fit_handler <- function(h, ...) { # Configure fit button {{{3
}
ftmp <<- suppressWarnings(mkinfit(m.cur,
override(ds.cur$data),
- method.modFit = "Marq",
- err = "err", quiet = TRUE,
- control.modFit = list(maxiter = 0)))
+ quiet = TRUE,
+ control = list(iter.max = 0)))
ftmp$optimised <<- FALSE
ftmp$ds <<- ds.cur
ws$ftmp <<- ftmp
@@ -372,8 +368,8 @@ configure_fit_handler <- function(h, ...) { # Configure fit button {{{3
update_f.df()
update_f_conf()
- svalue(f.gg.opts.method.modFit) <<- "Port"
f.run$call_Ext("enable")
+ print("test")
svalue(f.running.label) <- "Fit configured and ready to run"
} else {
svalue(f.running.label) <- paste("No fit configured:",
@@ -387,16 +383,16 @@ configure_fit_handler <- function(h, ...) { # Configure fit button {{{3
}
svalue(center) <- 4
}
-f.conf.line <- ggroup(cont = c.gf,
+f.conf.line <- ggroup(cont = c.gf,
ext.args = list(layout = list(type = "vbox", align = "center")))
-f.conf <- gbutton("<b>Configure fit</b>",
+f.conf <- gbutton("<b>Configure fit</b>",
width = 100,
cont = f.conf.line,
handler = configure_fit_handler,
ext.args = list(disabled = TRUE))
# center: Project editor {{{1
-p.editor <- gframe("", horizontal = FALSE, cont = center,
+p.editor <- gframe("", horizontal = FALSE, cont = center,
label = "Project")
# Line with buttons {{{2
p.line.buttons <- ggroup(cont = p.editor, horizontal = TRUE)
@@ -461,7 +457,7 @@ p.save.action <- gaction("Save project to project file", parent = w,
}
if (file.exists(filename)) {
gconfirm(paste("File", filename, "exists. Overwrite?"),
- parent = w,
+ parent = w,
handler = function(h, ...) {
try_to_save(filename)
})
@@ -471,7 +467,7 @@ p.save.action <- gaction("Save project to project file", parent = w,
}
})
p.save.action$add_keybinding(save_keybinding)
-p.save <- gbutton(action = p.save.action,
+p.save <- gbutton(action = p.save.action,
cont = p.line.buttons)
tooltip(p.save) <- paste("Press", save_keybinding, "to save")
@@ -542,7 +538,7 @@ p.line.import.p <- gcombobox(c("", p.df$Name), label = "Import from", cont = p.l
})
p.line.import.frames <- ggroup(cont = p.editor, horizontal = TRUE)
-p.line.import.dsf <- gframe("Datasets for import", cont = p.line.import.frames,
+p.line.import.dsf <- gframe("Datasets for import", cont = p.line.import.frames,
horizontal = FALSE, spacing = 0)
p.line.import.dst <- gtable(ds.df.empty, cont = p.line.import.dsf, multiple = TRUE,
width = left_width - 10, height = 160,
@@ -558,7 +554,7 @@ p.line.import.dsb <- gbutton("Import selected", cont = p.line.import.dsf,
}
)
-p.line.import.mf <- gframe("Models for import", cont = p.line.import.frames,
+p.line.import.mf <- gframe("Models for import", cont = p.line.import.frames,
horizontal = FALSE, spacing = 0)
p.line.import.mt <- gtable(m.df.empty, cont = p.line.import.mf, multiple = TRUE,
width = left_width - 10, height = 160,
@@ -597,7 +593,7 @@ copy_dataset_handler <- function(h, ...) {
ds.new$title <- paste("Copy of ", ds.cur$title)
stage_dataset(ds.new)
}
-
+
delete_dataset_handler <- function(h, ...) {
ds.i <- svalue(ds.gtable, index = TRUE)
ws$delete_ds(ds.i)
@@ -611,7 +607,7 @@ keep_ds_changes_handler <- function(h, ...) {
editor_title <- svalue(ds.title.ge)
editor_ds <- mkinds$new(
title = editor_title,
- data = ds.e.gdf[,],
+ data = ds.e.gdf[,],
time_unit = svalue(ds.e.stu),
unit = svalue(ds.e.obu))
@@ -665,7 +661,7 @@ load_text_file_with_data <- function(h, ...) {
}
svalue(ds.e.up.skip) <- tmptextskip
if (svalue(ds.e.up.header)) {
- tmptextheader <<- strsplit(tmptext[tmptextskip + 1],
+ tmptextheader <<- strsplit(tmptext[tmptextskip + 1],
" |\t|;|,")[[1]]
}
svalue(ds.e.up.wide.time) <- tmptextheader[[1]]
@@ -673,13 +669,13 @@ load_text_file_with_data <- function(h, ...) {
svalue(ds.e.up.text) <- c("<pre>", c(tmptext[1:5], "\n...\n"), "</pre>")
visible(ds.e.import) <- TRUE
}
-
+
new_ds_from_csv_handler <- function(h, ...) {
tmpd <- try(read.table(tmptextfile,
- skip = as.numeric(svalue(ds.e.up.skip)),
+ skip = as.numeric(svalue(ds.e.up.skip)),
dec = svalue(ds.e.up.dec),
- sep = switch(svalue(ds.e.up.sep),
- whitespace = "",
+ sep = switch(svalue(ds.e.up.sep),
+ whitespace = "",
";" = ";",
"," = ","),
header = svalue(ds.e.up.header),
@@ -731,7 +727,7 @@ ds.e.buttons <- ggroup(cont = ds.editor, horizontal = TRUE)
ds.e.new <- gbutton("New dataset", cont = ds.e.buttons, handler = new_dataset_handler)
ds.copy <- gbutton("Copy dataset", cont = ds.e.buttons,
handler = copy_dataset_handler, ext.args = list(disabled = TRUE))
-ds.delete <- gbutton("Delete dataset", cont = ds.e.buttons,
+ds.delete <- gbutton("Delete dataset", cont = ds.e.buttons,
handler = delete_dataset_handler, ext.args = list(disabled = TRUE))
ds.keep <- gbutton("Keep changes", cont = ds.e.buttons, handler = keep_ds_changes_handler)
ds.keep$call_Ext("disable")
@@ -761,7 +757,7 @@ upload_dataset.gf <- gfile(text = "Upload text file", cont = ds.editor,
# Import options {{{3
ds.e.import <- ggroup(cont = ds.editor, horizontal = FALSE)
visible(ds.e.import) <- FALSE
-ds.e.preview <- ggroup(cont = ds.e.import,
+ds.e.preview <- ggroup(cont = ds.e.import,
# width = 540, height = 150,
ext.args = list(layout = list(type="vbox", align = "center")))
ds.e.up.text <- ghtml("<pre></pre>", cont = ds.e.preview, width = 530, height = 150)
@@ -816,7 +812,7 @@ copy_model_handler <- function(h, ...) {
m.new$name <- paste("Copy of ", m.cur$name)
stage_model(m.new)
}
-
+
delete_model_handler <- function(h, ...) {
m.i <- svalue(m.gtable, index = TRUE)
ws$delete_m(m.i)
@@ -837,9 +833,9 @@ keep_m_changes_handler <- function(h, ...) {
names(spec)[[obs.i]] <- svalue(m.e.obs[[obs.i]])
}
- m.cur <<- mkinmod(use_of_ff = svalue(m.ff.gc),
+ m.cur <<- mkinmod(use_of_ff = svalue(m.ff.gc),
speclist = spec)
- m.cur$name <<- svalue(m.name.ge)
+ m.cur$name <<- svalue(m.name.ge)
m.i <- svalue(m.gtable, index = TRUE)
if (!is.null(m.i) && !is.na(m.i) && ws$m[[m.i]]$name == m.cur$name) {
@@ -863,24 +859,24 @@ add_observed <- function(obs.i) {
m.add_observed$call_Ext("disable")
}
m.e.rows[[obs.i]] <<- ggroup(cont = m.editor, horizontal = TRUE)
- m.e.obs[[obs.i]] <<- gcombobox(ws$observed,
- selected = obs.i,
+ m.e.obs[[obs.i]] <<- gcombobox(ws$observed,
+ selected = obs.i,
width = gcb_observed_width,
cont = m.e.rows[[obs.i]])
obs.types <- if (obs.i == 1) c("SFO", "FOMC", "DFOP", "HS", "SFORB")
else c("SFO", "SFORB")
m.e.type[[obs.i]] <<- gcombobox(obs.types, width = gcb_type_width,
selected = 1L, cont = m.e.rows[[obs.i]])
- glabel("to", cont = m.e.rows[[obs.i]])
+ glabel("to", cont = m.e.rows[[obs.i]])
m.e.to[[obs.i]] <<- gcombobox(ws$observed, selected = 0L,
width = gcb_to_width,
editable = TRUE,
ext.args = list(multiSelect = TRUE),
cont = m.e.rows[[obs.i]])
m.e.sink[[obs.i]] <<- gcheckbox("Sink", width = gcb_sink_width,
- checked = TRUE, cont = m.e.rows[[obs.i]])
+ checked = TRUE, cont = m.e.rows[[obs.i]])
if (obs.i > 1) {
- gbutton("Remove observed variable", handler = remove_observed_handler,
+ gbutton("Remove observed variable", handler = remove_observed_handler,
action = obs.i, cont = m.e.rows[[obs.i]])
}
}
@@ -916,7 +912,7 @@ m.e.buttons <- ggroup(cont = m.editor, horizontal = TRUE)
m.e.new <- gbutton("New model", cont = m.e.buttons, handler = new_model_handler)
m.copy <- gbutton("Copy model", cont = m.e.buttons,
handler = copy_model_handler, ext.args = list(disabled = TRUE))
-m.delete <- gbutton("Delete model", cont = m.e.buttons,
+m.delete <- gbutton("Delete model", cont = m.e.buttons,
handler = delete_model_handler, ext.args = list(disabled = TRUE))
m.keep <- gbutton("Keep changes", cont = m.e.buttons, handler = keep_m_changes_handler)
m.keep$call_Ext("disable")
@@ -924,11 +920,11 @@ m.keep$call_Ext("disable")
# Formlayout for meta data {{{3
m.e.gfl <- gformlayout(cont = m.editor)
m.name.ge <- gedit(label = "<b>Model name</b>", width = 60, cont = m.e.gfl)
-m.ff.gc <- gcombobox(c("min", "max"), label = "Use of formation fractions",
+m.ff.gc <- gcombobox(c("min", "max"), label = "Use of formation fractions",
cont = m.e.gfl)
svalue(m.ff.gc) <- m.cur$use_of_ff
m.add_observed.line <- ggroup(cont = m.editor)
-m.add_observed <- gbutton("Add observed variable",
+m.add_observed <- gbutton("Add observed variable",
width = 150,
cont = m.add_observed.line,
handler = add_observed_handler)
@@ -960,7 +956,7 @@ show_m_spec()
# center: Fit configuration {{{1
-f.config <- gframe("", horizontal = FALSE, cont = center,
+f.config <- gframe("", horizontal = FALSE, cont = center,
label = "Configuration")
# Handler functions {{{2
run_confirm_message <- paste("The progress of the fit is shown in the R console. ",
@@ -970,7 +966,7 @@ run_confirm_message <- paste("The progress of the fit is shown in the R console.
"the Windows R GUI). " ) } else "",
"Proceed to start the fit?", sep = "")
run_fit_handler <- function(h, ...) { #{{{3
- gconfirm(run_confirm_message, handler = function(h, ...)
+ gconfirm(run_confirm_message, handler = function(h, ...)
{
Parameters <- f.gg.parms[,]
Parameters.de <- subset(Parameters, Type == "deparm")
@@ -999,7 +995,7 @@ run_fit_handler <- function(h, ...) { #{{{3
ftmp <<- mkinfit(m.cur, override(ds.cur$data),
state.ini = iniparms,
fixed_initials = inifixed,
- parms.ini = deparms,
+ parms.ini = deparms,
fixed_parms = defixed,
plot = svalue(f.gg.opts.plot),
solution_type = svalue(f.gg.opts.st),
@@ -1007,13 +1003,10 @@ run_fit_handler <- function(h, ...) { #{{{3
rtol = as.numeric(svalue(f.gg.opts.rtol)),
transform_rates = svalue(f.gg.opts.transform_rates),
transform_fractions = svalue(f.gg.opts.transform_fractions),
- 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)),
- method.modFit = svalue(f.gg.opts.method.modFit),
- maxit.modFit = svalue(f.gg.opts.maxit.modFit)
+ error_model = svalue(f.gg.opts.error_model),
+ error_model_algorithm = svalue(f.gg.opts.error_model_algorithm)
)
ftmp$optimised <<- TRUE
ftmp$ds <<- ds.cur
@@ -1077,7 +1070,7 @@ export_csv_handler <- function(h, ...) { # {{{3
rownames(subset(ftmp$fixed, type == "deparm")))
odeparms <- parms.all[odenames]
- out <- mkinpredict(ftmp$mkinmod, odeparms, odeini, outtimes,
+ out <- mkinpredict(ftmp$mkinmod, odeparms, odeini, outtimes,
solution_type = solution_type, atol = ftmp$atol, rtol = ftmp$rtol)
write.csv(out, csv_file)
@@ -1110,17 +1103,17 @@ show_plot <- function(type) {
deparms <- as.numeric(Parameters.de[[type]])
names(deparms) <- rownames(Parameters.de)
if (type == "Initial") {
- ftmp <<- suppressWarnings(mkinfit(m.cur,
+ ftmp <<- suppressWarnings(mkinfit(m.cur,
override(ds.cur$data),
parms.ini = deparms,
- state.ini = stateparms,
+ state.ini = stateparms,
fixed_parms = names(deparms),
fixed_initials = names(stateparms),
err = "err", quiet = TRUE,
method.modFit = "Marq",
control.modFit = list(maxiter = 0)))
ftmp$ds <<- ds.cur
- }
+ }
svalue(plot.ftmp.gi) <<- plot_ftmp_png()
svalue(plot.ftmp.savefile) <- paste0(ftmp$mkinmod$name, " - ", ftmp$ds$title, ".", plot_format)
svalue(plot.confint.gi) <<- if (type == "Initial") NA
@@ -1132,12 +1125,12 @@ show_plot <- function(type) {
f.run.line <- ggroup(cont = f.config)
f.run <- gbutton("<b>Run fit</b>",
width = 100,
- cont = f.run.line,
+ cont = f.run.line,
handler = run_fit_handler,
ext.args = list(disabled = TRUE))
f.running.line <- ggroup(cont = f.config)
-f.running_noconf <- paste("No fit configured. Please select a dataset and a model and",
+f.running_noconf <- paste("No fit configured. Please select a dataset and a model and",
"press the button 'Configure fit' on the left.")
f.running.label <- glabel(f.running_noconf, cont = f.running.line)
@@ -1147,7 +1140,7 @@ f.gg.opts.g <- ggroup(cont = f.config)
# First group {{{4
f.gg.opts.1 <- gformlayout(cont = f.gg.opts.g)
solution_types <- c("auto", "analytical", "eigen", "deSolve")
-f.gg.opts.plot <- gcheckbox("Plot during the fit",
+f.gg.opts.plot <- gcheckbox("Plot during the fit",
cont = f.gg.opts.1, checked = FALSE)
f.gg.opts.st <- gcombobox(solution_types, selected = 1,
label = "solution_type", width = 160,
@@ -1156,12 +1149,17 @@ f.gg.opts.atol <- gedit(1e-8, label = "atol", width = 20,
cont = f.gg.opts.1)
f.gg.opts.rtol <- gedit(1e-10, label = "rtol", width = 20,
cont = f.gg.opts.1)
-optimisation_methods <- c("Port", "Marq", "SANN")
-f.gg.opts.method.modFit <- gcombobox(optimisation_methods, selected = 1,
- label = "method.modFit",
- width = 160,
- cont = f.gg.opts.1)
-f.gg.opts.maxit.modFit <- gedit("auto", label = "maxit.modFit",
+error_models <- c("const", "obs", "tc")
+f.gg.opts.error_model <- gcombobox(error_models, selected = 1,
+ label = "error_model",
+ width = 160,
+ cont = f.gg.opts.1)
+error_model_algorithms <- c("d_3", "direct", "threestep", "IRLS")
+f.gg.opts.error_model_algorithm <- gcombobox(error_model_algorithms, selected = 1,
+ label = "error_model_algorithm",
+ width = 160,
+ cont = f.gg.opts.1)
+f.gg.opts.maxit <- gedit("auto", label = "maxit",
width = 20, cont = f.gg.opts.1)
# Second group {{{4
@@ -1184,7 +1182,7 @@ f.gg.opts.reweight.max.iter <- gedit(10, label = "reweight.max.iter",
f.gg.plotopts <- ggroup(cont = f.gg.opts.g, horizontal = FALSE, width = 80)
-f.gg.po.format <- gcombobox(plot_formats, selected = 1,
+f.gg.po.format <- gcombobox(plot_formats, selected = 1,
cont = f.gg.plotopts, width = 50,
handler = function(h, ...) {
plot_format <<- svalue(h$obj)
@@ -1193,7 +1191,7 @@ f.gg.po.format <- gcombobox(plot_formats, selected = 1,
})
plot_format <- svalue(f.gg.po.format)
f.gg.po.legend <- gcheckbox("legend", cont = f.gg.plotopts, checked = TRUE)
-f.gg.po.obssel <- gcheckboxgroup("", cont = f.gg.plotopts,
+f.gg.po.obssel <- gcheckboxgroup("", cont = f.gg.plotopts,
checked = TRUE)
visible(f.gg.po.obssel) <- FALSE
# Parameter table {{{3
@@ -1212,7 +1210,7 @@ get_initials_handler <- function(h, ...)
get.initials.gb <- gbutton("Get starting parameters from", cont = f.parameters.line,
handler = get_initials_handler)
get.initials.gc <- gcombobox(paste("Result", f.df$Name), width = 200, cont = f.parameters.line)
-show.initial.gb.u <- gbutton("Plot unoptimised",
+show.initial.gb.u <- gbutton("Plot unoptimised",
handler = function(h, ...) show_plot("Initial"),
cont = f.parameters.line)
tooltip(show.initial.gb.u) <- "Show model with inital parameters shown below"
@@ -1229,13 +1227,13 @@ Parameters <- Parameters.empty <- data.frame(
Fixed = logical(1),
Optimised = numeric(1))
# Dataframe with initial and optimised parameters {{{4
-f.gg.parms <- gdf(Parameters, cont = f.config, height = 500,
+f.gg.parms <- gdf(Parameters, cont = f.config, height = 500,
name = "Starting parameters",
do_add_remove_buttons = FALSE)
size(f.gg.parms) <- list(columnWidths = c(220, 50, 65, 50, 65))
# Do not show fit option widgets when no fit is configured
-show_fit_option_widgets <- function(show)
+show_fit_option_widgets <- function(show)
{
visible(f.gg.opts.g) <- show
visible(f.parameters.line) <- show
@@ -1244,11 +1242,11 @@ show_fit_option_widgets <- function(show)
show_fit_option_widgets(FALSE)
# center: Results viewer {{{1
-r.viewer <- gframe("", horizontal = FALSE, cont = center,
+r.viewer <- gframe("", horizontal = FALSE, cont = center,
label = "Result")
# Row with buttons {{{2
r.buttons <- ggroup(cont = r.viewer, horizontal = TRUE)
-f.delete <- gbutton("Delete fit", cont = r.buttons,
+f.delete <- gbutton("Delete fit", cont = r.buttons,
handler = delete_fit_handler, ext.args = list(disabled = TRUE))
f.keep <- gbutton("Keep fit", cont = r.buttons, handler = keep_fit_handler)
tooltip(f.keep) <- "Store the optimised model with all settings and the current dataset in the fit list"
@@ -1265,7 +1263,7 @@ par.df.empty <- data.frame(
Parameter = character(1),
Estimate = numeric(1), "Pr(>t)" = numeric(1),
Lower = numeric(1), Upper = numeric(1), check.names = FALSE)
-r.par.gf <- gframe("Optimised parameters", cont = r.viewer,
+r.par.gf <- gframe("Optimised parameters", cont = r.viewer,
horizontal = FALSE, spacing = 0)
r.parameters <- gtable(par.df.empty, cont = r.par.gf, height = 200,
ext.args = list(resizable = TRUE, resizeHandles = 's'))
@@ -1273,16 +1271,16 @@ r.parameters <- gtable(par.df.empty, cont = r.par.gf, height = 200,
# Tables with chi2, ff, DT50 {{{2
r.frames <- ggroup(cont = r.viewer, horizontal = TRUE, spacing = 0)
-r.frames.chi2 <- gframe("Chi2 errors [%]", cont = r.frames,
+r.frames.chi2 <- gframe("Chi2 errors [%]", cont = r.frames,
horizontal = TRUE, spacing = 0)
chi2.df.empty = data.frame(Variable = character(1), Error = character(1),
- n.opt = character(1), df = character(1),
+ n.opt = character(1), df = character(1),
stringsAsFactors = FALSE)
r.frames.chi2.gt <- gtable(chi2.df.empty, cont = r.frames.chi2,
width = 180, height = 150)
size(r.frames.chi2.gt) <- list(columnWidths = c(60, 35, 35, 15))
-r.frames.ff <- gframe("Formation fractions", cont = r.frames,
+r.frames.ff <- gframe("Formation fractions", cont = r.frames,
horizontal = TRUE, spacing = 0)
ff.df.empty = data.frame(Path = character(1), ff = character(1),
stringsAsFactors = FALSE)
@@ -1290,7 +1288,7 @@ r.frames.ff.gt <- gtable(ff.df.empty, cont = r.frames.ff,
width = 150, height = 150)
size(r.frames.ff.gt) <- list(columnWidths = c(80, 15))
-r.frames.distimes <- gframe("Disappearance times", cont = r.frames,
+r.frames.distimes <- gframe("Disappearance times", cont = r.frames,
horizontal = TRUE, spacing = 0)
distimes.df.empty = data.frame(Variable = character(1), DT50 = character(1),
stringsAsFactors = FALSE)
@@ -1298,7 +1296,7 @@ r.frames.distimes.gt <- gtable(distimes.df.empty, cont = r.frames.distimes,
width = 150, height = 150)
# Summary {{{2
-f.gg.summary <- gframe("Summary", height = 400, use.scrollwindow = TRUE,
+f.gg.summary <- gframe("Summary", height = 400, use.scrollwindow = TRUE,
cont = r.viewer, horizontal = FALSE)
f.gg.summary.topline <- ggroup(cont = f.gg.summary, horizontal = TRUE)
f.gg.summary.filename <- gedit("", width = 40, cont = f.gg.summary.topline)
@@ -1328,7 +1326,7 @@ workflow_url <- "/custom/gmkin_png/workflow/gmkin_workflow_434x569.png"
workflow.gi <- gimage(workflow_url, size = c(434, 569), label = "Workflow", cont = workflow.gg)
# Data editor {{{2
-ds.e.gdf <- gdf(ds.cur$data, label = "Data", name = "Kinetic data",
+ds.e.gdf <- gdf(ds.cur$data, label = "Data", name = "Kinetic data",
do_add_remove_buttons = FALSE,
width = 488, height = 577, cont = right)
@@ -1346,10 +1344,10 @@ add_gallery_model_handler <- function(h, ...) {
update_m.df()
m.i <- nrow(m.df)
svalue(c.m) <- m.df[m.i, "Name"]
- m.cur <<- ws$m[[m.i]]
+ m.cur <<- ws$m[[m.i]]
update_m_editor()
- m.delete$call_Ext("enable")
- m.copy$call_Ext("enable")
+ m.delete$call_Ext("enable")
+ m.copy$call_Ext("enable")
if (!is.null(svalue(ds.gtable, index = TRUE))) {
if (length(svalue(ds.gtable)) > 0) {
if (!is.na(svalue(ds.gtable))) f.conf$call_Ext("enable")
@@ -1370,10 +1368,10 @@ create_model_gallery <- function() {
for (j in 1:4) {
model <- UBA_model_gallery[[i]][[j]]
m.url = paste0("/custom/gmkin_png/", gsub(" ", "_", model$name), ".png")
- m.g.fields[[i]][[j]] <<- gimage(m.url, width = 110,
+ m.g.fields[[i]][[j]] <<- gimage(m.url, width = 110,
height = if (i == 1) 80 else if (i == 2) 160 else 220,
cont = m.g.rows[[i]])
- m.g.buttons[[i]][[j]] <<- gbutton(model$name, width = 110,
+ m.g.buttons[[i]][[j]] <<- gbutton(model$name, width = 110,
cont = m.g.buttonrows[[i]],
handler = add_gallery_model_handler,
action = c(i, j))
@@ -1400,11 +1398,11 @@ plot_ftmp <- function() {
} else {
plot_legend = TRUE
}
- plot(ftmp, main = paste(ftmp$mkinmod$name, "-", ftmp$ds$title),
+ plot(ftmp, main = paste(ftmp$mkinmod$name, "-", ftmp$ds$title),
obs_vars = obs_vars_plot,
- xlab = ifelse(ftmp$ds$time_unit == "", "Time",
+ xlab = ifelse(ftmp$ds$time_unit == "", "Time",
paste("Time in", ftmp$ds$time_unit)),
- ylab = ifelse(ftmp$ds$unit == "", "Observed",
+ ylab = ifelse(ftmp$ds$unit == "", "Observed",
paste("Observed in", ftmp$ds$unit)),
legend = plot_legend,
show_residuals = TRUE)
@@ -1432,7 +1430,7 @@ plot_ftmp_save <- function(filename) {
plot_confint_png <- function() {
tf <- get_tempfile(ext=".png")
png(tf, width = 400, height = 400)
- mkinparplot(ftmp)
+ mkinparplot(ftmp)
dev.off()
return(tf)
}
@@ -1446,7 +1444,7 @@ plot.ftmp.savebutton <- gbutton("Save plot", cont = plot.ftmp.saveline,
filename <- svalue(plot.ftmp.savefile)
if (file.exists(filename))
{
- gconfirm(paste("File", filename,
+ gconfirm(paste("File", filename,
"exists. Overwrite?"),
parent = w,
handler = function(h, ...) {
@@ -1474,7 +1472,7 @@ manual.gh <- ghtml(label = "Manuals", paste0("<div class = 'manual' style = 'mar
</div>"), width = 460, cont = right)
# Changes {{{2
-gmkin_news <- markdown::markdownToHTML(system.file("NEWS.md",
+gmkin_news <- markdown::markdownToHTML(system.file("NEWS.md",
package = "gmkin"),
fragment.only = TRUE)
diff --git a/man/gmkin.Rd b/man/gmkin.Rd
index f8540ff..751da82 100644
--- a/man/gmkin.Rd
+++ b/man/gmkin.Rd
@@ -1,44 +1,26 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/gmkin.R
\name{gmkin}
\alias{gmkin}
-\title{
- Start a graphical user interface (GUI) based on the \code{gWidgetsWWW2} toolkit.
-}
-\description{
- This function starts a browser based GUI. Please visit the
- \href{http://github.com/jverzani/gWidgetsWWW2}{github page of gWidgetsWWW2}
- for an explanation how this toolkit works.
-}
+\title{Start a graphical user interface (GUI) based on the \code{gWidgetsWWW2} toolkit.}
\usage{
- gmkin(script_name, show.log = FALSE)
+gmkin(script_name, show.log = FALSE)
}
\arguments{
- \item{script_name}{
- During development, a script name with a local working version
- of gmkin can be passed. Defaults to the location of the gmkin.R script
- shipped with the package.
- }
- \item{show.log}{
- During development, it may be useful to see the log of the Rook apps.
- }
-}
-\examples{
- \dontrun{gmkin()} # Start the gmkin GUI
- \dontrun{
- g <- gmkin()
+\item{script_name}{During development, a script name with a local working
+version of gmkin can be passed. Defaults to the location of the gmkin.R
+script shipped with the package.}
- # Only for debugging or other advanced usage:
- session <- gmkin:::get_current_session(g)
- session$p.df
- session$ds.df
- session$ds.cur
- session$m.cur
- session$ws
- }
+\item{show.log}{During development, it may be useful to see the log of the
+Rook apps.}
}
\value{
- The function is called for its side effect, namely starting the GUI in a browser.
- For the curious, the desperate or the adventurous, the gmkin app (a GWidgetsApp object) is returned.
+The function is called for its side effect, namely starting the GUI
+ in a browser. For the curious, the desperate or the adventurous, the gmkin
+ app (a GWidgetsApp object) is returned.
}
-\author{
- Johannes Ranke
+\description{
+This function starts a browser based GUI. Please visit the
+\href{http://github.com/jverzani/gWidgetsWWW2}{github page of gWidgetsWWW2}
+for an explanation how this toolkit works.
}
diff --git a/vignettes/gmkin_manual.html b/vignettes/gmkin_manual.html
index 5d869c2..b1c3c6e 100644
--- a/vignettes/gmkin_manual.html
+++ b/vignettes/gmkin_manual.html
@@ -204,17 +204,17 @@ hr {
<h2>Introduction</h2>
<p>The R add-on package gmkin provides a browser based graphical interface for
-performing kinetic evaluations of degradation data using the
+performing kinetic evaluations of degradation data using the
<a href="http://kinfit.r-forge.r-project.org/mkin_static">mkin package</a>.
While the use of gmkin should be largely self-explanatory, this manual may serve
as a functionality overview and reference.</p>
-<p>For system requirements and installation instructions, please refer to the
+<p>For system requirements and installation instructions, please refer to the
<a href="http://kinfit.r-forge.r-project.org/gmkin_static">gmkin homepage</a>.</p>
<h2>Starting gmkin</h2>
-<p>As gmkin is an R package, you need to start R and load the gmkin package before you can run gmkin.
+<p>As gmkin is an R package, you need to start R and load the gmkin package before you can run gmkin.
The latter can be achieved by entering the command</p>
<pre><code class="r">library(gmkin)
@@ -222,7 +222,7 @@ The latter can be achieved by entering the command</p>
<p>into the R console. This will also load the packages that gmkin depends on,
most notably gWidgetsWWW2 and mkin. Loading the package only has to be done
-once after you have started R. </p>
+once after you have started R.</p>
<p>Before you start gmkin, you should make sure that R is using the working
directory that you would like to keep your gmkin project file(s) in. If you use
@@ -263,7 +263,7 @@ However, it also contains a tab &#39;Data&#39; for editing kinetic data.</p>
<h2>Project file management</h2>
-<p>At startup, the project explorer to the left shows the two project workspaces &#39;FOCUS_2006&#39; and
+<p>At startup, the project explorer to the left shows the two project workspaces &#39;FOCUS_2006&#39; and
&#39;FOCUS_2006_Z&#39; delivered with the package. The project manangement area in the
center gives the possibility to save these projects under a new name, or to
start a new, empty project.</p>
@@ -272,19 +272,19 @@ start a new, empty project.</p>
so-called fits, i.e. the results of fitting models to data. The project area also shows the current
working directory, where project workspace files are saved using the file extension <code>.gmkinws</code>.</p>
-<p>Once a project has been saved by the user, the project explorer to the left will show it in the
+<p>Once a project has been saved by the user, the project explorer to the left will show it in the
project list.</p>
<p><img 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" alt="Screenshot of saving a new project"/></p>
<p>The current state of a project should repeatedly be saved during the work in order to avoid
-loosing data. This can be achieved by selecting the &#39;Project&#39; tab in the center and pressing
+loosing data. This can be achieved by selecting the &#39;Project&#39; tab in the center and pressing
the &#39;Save project to project file&#39; button. More conveniently, the keyboard shortcut Shift-F12
(was Ctrl-X in gmkin &lt; 0.6.6) can be used to save the current status of the
project.</p>
-<p>In the project file management area, datasets and models can be imported from
-one of the projects in the project list, once it has been selected in the
+<p>In the project file management area, datasets and models can be imported from
+one of the projects in the project list, once it has been selected in the
droplist labelled &#39;Import from:&#39;.</p>
<p><img 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" alt="Screenshot of importing datasets and models"/></p>
@@ -296,7 +296,7 @@ if you are limited in vertical screen space.</p>
<h2>Dataset editor</h2>
-<p>When you select one of the datasets in the dataset explorer to the left, some
+<p>When you select one of the datasets in the dataset explorer to the left, some
summary information about the dataset is shown in the center, and the data itself
is loaded into the data editor to the right.</p>
@@ -305,8 +305,8 @@ is loaded into the data editor to the right.</p>
<p>When you have added information about the units, or edited the data to the right, you should hit
the button &#39;Keep changes&#39;. This will add a new entry in the dataset explorer.</p>
-<p>In the dataset editor to the right, you can override original data (for example in order to
-follow FOCUS recommendations for time zero samples or values below the limit of detection)
+<p>In the dataset editor to the right, you can override original data (for example in order to
+follow FOCUS recommendations for time zero samples or values below the limit of detection)
by entering numbers in the override column.</p>
<p>When saving a dataset, the sampling times, the number of replicates and the list of observed
@@ -340,7 +340,7 @@ be able to use the dataset that you created in a future gmkin session.</p>
<h3>Importing data from text files</h3>
-<p>In case you want to work with a larger dataset that is already available as a computer
+<p>In case you want to work with a larger dataset that is already available as a computer
file e.g. in a spreadsheet application, you can export these data as a tab separated
or comma separated text file and import it using the &ldquo;Browse&rdquo; and &ldquo;Upload&rdquo; buttons in the
dataset editor.</p>
@@ -348,14 +348,14 @@ dataset editor.</p>
<p>As an example, we can create a text file from one of the datasets shipped with
the mkin package using the following R command:</p>
-<pre><code class="r">write.table(schaefer07_complex_case, sep = &quot;,&quot;, dec = &quot;.&quot;,
- row.names = FALSE, quote = FALSE,
+<pre><code class="r">write.table(schaefer07_complex_case, sep = &quot;,&quot;, dec = &quot;.&quot;,
+ row.names = FALSE, quote = FALSE,
file = &quot;schaefer07.csv&quot;)
</code></pre>
-<p>This produces a text file with comma separated values in the current working directory of R. </p>
+<p>This produces a text file with comma separated values in the current working directory of R.</p>
-<p>Loading this text file into gmkin using the &ldquo;Browse&rdquo; and &ldquo;Upload&rdquo; buttons </p>
+<p>Loading this text file into gmkin using the &ldquo;Browse&rdquo; and &ldquo;Upload&rdquo; buttons</p>
<p><img 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" alt="Screenshot of the browse and upload dialogue"/></p>
@@ -373,14 +373,14 @@ the column names, i.e. the names of the observed variables when the data are in
<p>As &ldquo;Separator&rdquo;, whitespace, semicolon or comma can be chosen. If whitespace is selected,
files in which the values are separated by a fixed or varying number of whitespace characters
-should be read in correctly. As the tabulator counts as a whitespace character, this is
+should be read in correctly. As the tabulator counts as a whitespace character, this is
also the option to choose for tabulator separated values.</p>
<p>As the &ldquo;Decimal&rdquo; separator, comma &ldquo;,&rdquo; or period &ldquo;.&rdquo; can be selected.</p>
<p>In the next line, it can be specified if the data are in wide or in long format.
If in wide format, the only option left to specify is the title of the column containing
-the sampling times. If the data is in long format, the column headings specifying the
+the sampling times. If the data is in long format, the column headings specifying the
columns containing the observed variables (default is &ldquo;name&rdquo;), the sampling times
(default is &ldquo;time&rdquo;), the observed values (default is &ldquo;value&rdquo;) and, if present in the data,
the relative errors (default is &ldquo;err&rdquo;) can be adapted. The default settings appearing if
@@ -404,7 +404,7 @@ in a future gmkin session.</p>
<h2>Model editor</h2>
-<p>The following screenshot shows the model editor for the model &#39;Z.2a.ff&#39; from
+<p>The following screenshot shows the model editor for the model &#39;Z.2a.ff&#39; from
the project workspace &#39;FOCUS_2006_Z&#39; provided with the gmkin package.</p>
<p><img 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" alt="Screenshot of the model editor"/></p>
@@ -436,14 +436,14 @@ it for fitting in the listing of models to the left.</p>
in the Explorer window &ldquo;Configuration&rdquo; becomes active. Pressing it opens the &ldquo;Configuration&rdquo;
area in the center and loads the dataset into the Data editor to the right, for viewing only.</p>
-<p>After pressing the button &#39;Plot unoptimised&#39;, the data and the kinetic model with default
+<p>After pressing the button &#39;Plot unoptimised&#39;, the data and the kinetic model with default
starting parameters are plotted in the &#39;Plot&#39; area to the right.</p>
<p><img src="data:image/png;base64,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alt="Screenshot of the fit configuration area"/></p>
<h3>Fit options</h3>
-<p>The most important fit options of the <code>mkinfit</code> function can be set via the
+<p>The most important fit options of the <code>mkinfit</code> function can be set via the
controls in the fit configuration area shown above. If the &ldquo;plot&rdquo; checkbox is
checked (and on Windows, the R GUI is used for running gmkin), an R graphics
device started via the R console shows the fitting progress, i.e. the change of
@@ -451,7 +451,7 @@ the model solution together with the data during the optimisation.</p>
<p>The &ldquo;solution_type&rdquo; can either be &ldquo;auto&rdquo;, which means that the most effective solution
method is chosen for the model, in the order of &ldquo;analytical&rdquo; (for parent only degradation
-data), &ldquo;eigen&rdquo; (for differential equation models with only linear terms, i.e. without
+data), &ldquo;eigen&rdquo; (for differential equation models with only linear terms, i.e. without
FOMC, DFOP or HS submodels) or &ldquo;deSolve&rdquo;, which can handle all model definitions generated
by the <code>mkin</code> package. If a compiler (gcc, on Windows install the &#39;Rtools&#39; software package),
then the &ldquo;deSolve&rdquo; solution method is alway chosen when there are more than one
@@ -461,8 +461,8 @@ variables in the model.</p>
control the precision of the iterative numerical solution of the differential equation model.</p>
<p>The checkboxes &ldquo;transform_rates&rdquo; and &ldquo;transform_fractions&rdquo; control if the parameters are fitted
-as defined in the model, or if they are internally transformed during the fitting process in
-order to improve the estimation of standard errors and confidence intervals which are based
+as defined in the model, or if they are internally transformed during the fitting process in
+order to improve the estimation of standard errors and confidence intervals which are based
on a linear approximation at the optimum found by the fitting algorithm.</p>
<p>If fitting with transformed fractions leads to a suboptimal fit, doing a first
@@ -470,9 +470,9 @@ run without transforming fractions may help. A final run using the optimised
parameters from the previous run as starting values (see comment on &ldquo;Get
initials from&rdquo; above) can then be performed with transformed fractions.</p>
-<p>The dropdown box &ldquo;weight&rdquo; specifies if and how the observed values should be weighted
-in the fitting process. If &ldquo;manual&rdquo; is chosen, the values in the &ldquo;err&rdquo; column of the
-dataset are used, which are set to unity by default. Setting these to higher values
+<p>The dropdown box &ldquo;weight&rdquo; specifies if and how the observed values should be weighted
+in the fitting process. If &ldquo;manual&rdquo; is chosen, the values in the &ldquo;err&rdquo; column of the
+dataset are used, which are set to unity by default. Setting these to higher values
gives lower weight and vice versa. If &ldquo;none&rdquo; is chosen, observed
values are not weighted. Please refer to the documentation of the <code>modFit</code> function from
the <code>FME</code> package for the meaning of options &ldquo;std&rdquo; and &ldquo;mean&rdquo;.</p>
@@ -486,7 +486,7 @@ for more details. IRLS fitting can be configured using the options
<p>The drop down box &ldquo;method.modFit&rdquo; makes it possible to choose between the optimisation
algorithms &ldquo;Port&rdquo; (the default in mkin versions &gt; 0.9-33, a local optimisation
algorithm using a model/trust region approach), &ldquo;Marq&rdquo; (the former default in
-mkin, a Levenberg-Marquardt variant from the R package <code>minpack.lm</code>),
+mkin, a Levenberg-Marquardt variant from the R package <code>minpack.lm</code>),
and &ldquo;SANN&rdquo; (the simulated annealing method - robust but inefficient and without
a convergence criterion).</p>
@@ -502,21 +502,21 @@ the model fit should be plotted can be selected as shown below.</p>
<p><img 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" alt="plot options"/></p>
<p>On systems running the Windows operating system, the windows metafile (wmf) format
-can be additionally chosen. Changing the file format for plotting will also change
+can be additionally chosen. Changing the file format for plotting will also change
the extension of the proposed filename for saving the plot.</p>
<h3>Parameters</h3>
-<p>Below the fit control area, a table with the Starting parameter list is displayed. While
+<p>Below the fit control area, a table with the Starting parameter list is displayed. While
name and type of the parameters should not be edited, their initial values can be edited
by clicking on a row. Also, it can be specified if the parameters should be fixed
-in the optimisation process. </p>
+in the optimisation process.</p>
<p>If the initial values for the parameters were changed, the resulting model solution
-can be visually checked by pressing the button &ldquo;Plot unoptimised&rdquo;. This will update the
+can be visually checked by pressing the button &ldquo;Plot unoptimised&rdquo;. This will update the
plot of the model and the data using the specified initial parameter values.</p>
-<p>If a similar model with a partially overlapping model definition has already be fitted,
+<p>If a similar model with a partially overlapping model definition has already be fitted,
initial values for parameters with the same name in both models can also be retrieved
from previous fits by selecting the fit and pressing the button &ldquo;Get starting parameters
from&rdquo;. This facilitates stepwise fitting of more complex degradation pathways.</p>
@@ -528,25 +528,25 @@ parameter values are added to the parameter table.</p>
<p>In many cases the starting parameters and the fit options do not need to be modified
and the model fitting process can simply be started by pressing the &ldquo;Run fit&rdquo; button.
-In the R console, the progressive reduction in the model cost can be monitored and will
+In the R console, the progressive reduction in the model cost can be monitored and will
be displayed in the following way:</p>
-<pre><code class="r">Model cost at call 1 : 15156.12
-Model cost at call 3 : 15156.12
-Model cost at call 7 : 14220.79
-Model cost at call 8 : 14220.79
-Model cost at call 11 : 14220.79
-Model cost at call 12 : 3349.268
-Model cost at call 15 : 3349.268
-Model cost at call 17 : 788.6367
-Model cost at call 18 : 788.6366
-Model cost at call 22 : 374.0575
-Model cost at call 23 : 374.0575
-Model cost at call 27 : 371.2135
-Model cost at call 28 : 371.2135
-Model cost at call 32 : 371.2134
-Model cost at call 36 : 371.2134
-Model cost at call 37 : 371.2134
+<pre><code class="r">Model cost at call 1 : 15156.12
+Model cost at call 3 : 15156.12
+Model cost at call 7 : 14220.79
+Model cost at call 8 : 14220.79
+Model cost at call 11 : 14220.79
+Model cost at call 12 : 3349.268
+Model cost at call 15 : 3349.268
+Model cost at call 17 : 788.6367
+Model cost at call 18 : 788.6366
+Model cost at call 22 : 374.0575
+Model cost at call 23 : 374.0575
+Model cost at call 27 : 371.2135
+Model cost at call 28 : 371.2135
+Model cost at call 32 : 371.2134
+Model cost at call 36 : 371.2134
+Model cost at call 37 : 371.2134
Optimisation by method Port successfully terminated.
</code></pre>
@@ -554,7 +554,7 @@ Optimisation by method Port successfully terminated.
window should either pop up, or a graphics window previously started for this
purpose will be reused.</p>
-<p>If your screen size allows for it, you can arrange the R plotting window and the
+<p>If your screen size allows for it, you can arrange the R plotting window and the
R console in a way that you can see everything at the same time:</p>
<p><img src="data:image/png;base64,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" alt="Screenshot of arrangement of plot window and console"/></p>
@@ -562,7 +562,7 @@ R console in a way that you can see everything at the same time:</p>
<h2>Results and summary</h2>
<p>Once a fit has successfully been completed, the most important results are shown in several
-tables in the &ldquo;Result&rdquo; area as shown below. </p>
+tables in the &ldquo;Result&rdquo; area as shown below.</p>
<p><img src="data:image/png;base64,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alt="Screenshot of the results"/></p>
@@ -579,8 +579,8 @@ and pressing the button &ldquo;Save summary&rdquo;.</p>
area is updated with the abovementioned plot of the data and the current model solution.</p>
<p>In addition, a confidence interval plot is shown below this conventional plot. In case
-a fit has been run and confidence intervals were successfully calculated for the fit (i.e.
-if the model was not overparameterised and no other problems occurred), the
+a fit has been run and confidence intervals were successfully calculated for the fit (i.e.
+if the model was not overparameterised and no other problems occurred), the
confidence intervals are graphically displayed as bars as shown below.</p>
<p><img src="data:image/png;base64,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" alt="confidence"/></p>
@@ -588,8 +588,8 @@ confidence intervals are graphically displayed as bars as shown below.</p>
<h2>Howtos</h2>
<p>The following sections show step by step descriptions of how to perform certain
-tasks using gmkin. In principle, this should be necessary as the GUI was
-designed to be largely self-explanatory. Nevertheless may help a beginner to
+tasks using gmkin. In principle, this should not be necessary as the GUI was
+designed to be largely self-explanatory. Nevertheless it may help a beginner to
understand how to use gmkin. At the same time, the gmkin author uses them as
test cases to make sure that the most important functionality is not broken
before releasing a new version.</p>

Contact - Imprint