diff options
Diffstat (limited to 'inst/GUI')
| -rw-r--r-- | inst/GUI/mkinGUI.R | 133 |
1 files changed, 128 insertions, 5 deletions
diff --git a/inst/GUI/mkinGUI.R b/inst/GUI/mkinGUI.R index d1af2c0..2b8e0de 100644 --- a/inst/GUI/mkinGUI.R +++ b/inst/GUI/mkinGUI.R @@ -106,9 +106,19 @@ update_m.df <- function() { m.df <- data.frame()
update_m.df()
m.cur = "1"
+# Initial fit lists {{{2
+# The fits and summaries are collected in lists of lists
+f <- s <- list()
+for (ds.index in 1:length(ds)) {
+ f[[as.character(ds.index)]] <- list()
+ s[[as.character(ds.index)]] <- list()
+}
+f[["1"]][["1"]] <- suppressWarnings(mkinfit(m[["1"]], override(ds[["1"]]$data),
+ err = "err",
+ control.modFit = list(maxiter = 0)))
+
# Widgets and handlers for project data {{{1
prg <- gexpandgroup("Project file management", cont = left, horizontal = FALSE)
-visible(prg) <- FALSE
# Project data management handler functions {{{2
upload_file_handler <- function(h, ...)
{
@@ -167,9 +177,10 @@ ds.switcher <- function(h, ...) { update_ds_editor()
svalue(center) <- 1
}
-ds.gtable <- gtable(ds.df, width = 290, multiple = TRUE, cont = dsm)
+ds.gtable <- gtable(ds.df, width = 290, cont = dsm)
addHandlerDoubleClick(ds.gtable, ds.switcher)
size(ds.gtable) <- list(columnWidths = c(40, 200, 40))
+ds.gtable$value <- 1
# Model table with handler {{{2
m.switcher <- function(h, ...) {
@@ -177,9 +188,26 @@ m.switcher <- function(h, ...) { update_m_editor()
svalue(center) <- 2
}
-m.gtable <- gtable(m.df, width = 290, multiple = TRUE, cont = dsm)
+m.gtable <- gtable(m.df, width = 290, cont = dsm)
addHandlerDoubleClick(m.gtable, m.switcher)
size(m.gtable) <- list(columnWidths = c(40, 240))
+m.gtable$value <- 1
+
+# Button for setting up a fit for the selected dataset and model
+gbutton("Configure fit for selected model and dataset", cont = dsm,
+ handler = function(h, ...) {
+ ds.i <<- svalue(ds.gtable)
+ m.i <<- svalue(m.gtable)
+ f[[ds.i]][[m.i]] <<- suppressWarnings(
+ mkinfit(m[[m.i]], override(ds[[ds.i]]$data),
+ err = "err",
+ control.modFit = list(maxiter = 0)))
+ stmp <- summary(f[[ds.i]][[m.i]])
+ f.gg.parms[,] <- get_Parameters(stmp, FALSE)
+ show_plot("Initial", default = TRUE)
+ svalue(pf) <- paste0("Dataset ", ds.i, ", Model ", m.i)
+ svalue(center) <- 3
+ })
# Dataset editor {{{1
ds.editor <- gframe("Dataset 1", horizontal = FALSE, cont = center, label = "Dataset editor")
@@ -254,7 +282,6 @@ save_ds_changes_handler <- function(h, ...) { ds[[ds.cur]]$replicates <<- max(aggregate(tmpd$time,
list(tmpd$time, tmpd$name), length)$x)
update_ds_editor()
- update_plot()
}
# Widget setup {{{3
@@ -437,6 +464,102 @@ update_m_editor <- function() { # 3}}}
# 2}}}
-# 1}}}
+# Plotting and fitting {{{1
+show_plot <- function(type, default = FALSE) {
+ Parameters <- f.gg.parms[,]
+ Parameters.de <- subset(Parameters, Type == "deparm", type)
+ stateparms <- subset(Parameters, Type == "state")[[type]]
+ deparms <- as.numeric(Parameters.de[[type]])
+ names(deparms) <- rownames(Parameters.de)
+ if (type == "Initial" & default == FALSE) {
+ f[[ds.i]][[m.i]] <<- suppressWarnings(
+ mkinfit(m[[m.i]], override(ds[[ds.i]]$data),
+ state.ini = stateparms, parms.ini = deparms,
+ err = "err",
+ control.modFit = list(maxiter = 0))
+ )
+ }
+ tmp <- get_tempfile(ext=".svg")
+ svg(tmp, width = 7, height = 5)
+ plot(f[[ds.i]][[m.i]], main = ds[[ds.i]]$title,
+ xlab = ifelse(ds[[ds.i]]$time_unit == "", "Time",
+ paste("Time in", ds[[ds.i]]$time_unit)),
+ ylab = ifelse(ds[[ds.i]]$unit == "", "Observed",
+ paste("Observed in", ds[[ds.i]]$unit)))
+ dev.off()
+ svalue(plot.gs) <<- tmp
+}
+get_Parameters <- function(stmp, optimised)
+{
+ pars <- rbind(stmp$start[1:2], stmp$fixed)
+
+ pars$fixed <- c(rep(FALSE, length(stmp$start$value)),
+ rep(TRUE, length(stmp$fixed$value)))
+ pars$name <- rownames(pars)
+ Parameters <- data.frame(Name = pars$name,
+ Type = pars$type,
+ Initial = pars$value,
+ Fixed = pars$fixed,
+ Optimised = as.numeric(NA))
+ Parameters <- rbind(subset(Parameters, Type == "state"),
+ subset(Parameters, Type == "deparm"))
+ rownames(Parameters) <- Parameters$Name
+ if (optimised) {
+ Parameters[rownames(stmp$bpar), "Optimised"] <- stmp$bpar[, "Estimate"]
+ }
+ return(Parameters)
+}
+run_fit <- function() {
+ Parameters <- f.gg.parms[,]
+ Parameters.de <- subset(Parameters, Type == "deparm")
+ deparms <- Parameters.de$Initial
+ names(deparms) <- rownames(Parameters.de)
+ f[[ds.i]][[m.i]] <<- mkinfit(m[[m.i]], override(ds[[ds.i]]$data),
+ state.ini = subset(Parameters,
+ Type == "state")$Initial,
+ parms.ini = deparms,
+ err = "err")
+ s[[ds.i]][[m.i]] <<- summary(f[[ds.i]][[m.i]])
+ f.gg.parms[,] <- get_Parameters(s[[ds.i]][[m.i]], TRUE)
+ show_plot("Optimised")
+}
+ds.i <- m.i <- "1"
+
+# GUI widgets {{{2
+pf <- gframe("Dataset 1, Model 1", horizontal = FALSE,
+ cont = center, label = "Plotting and fitting")
+
+# Head row with buttons {{{3
+f.gg.head <- ggroup(cont = pf)
+gbutton("Show initial",
+ handler = function(h, ...) show_plot("Initial"),
+ cont = f.gg.head)
+gbutton("Run", handler = function(h, ...) run_fit(),
+ cont = f.gg.head)
+
+# Mid group with plot and options
+f.gg.mid <- ggroup(cont = pf)
+stmp <- summary(f[["1"]][["1"]])
+Parameters <- get_Parameters(stmp, FALSE)
+tf <- get_tempfile(ext=".svg")
+svg(tf, width = 7, height = 5)
+plot(f[["1"]][["1"]])
+dev.off()
+plot.gs <- gsvg(tf, container = f.gg.mid, width = 490, height = 350)
+f.gg.opts <- gformlayout(cont = f.gg.mid)
+solution_types <- c("analytical", "eigen", "deSolve")
+gcombobox(solution_types, selected = 1, label = "solution_type",
+ width = 200, cont = f.gg.opts)
+
+# Dataframe with initial and optimised parameters
+f.gg.parms <- gdf(Parameters, width = 420, height = 300, cont = pf,
+ do_add_remove_buttons = FALSE)
+f.gg.parms$set_column_width(1, 200)
+f.gg.parms$set_column_width(2, 50)
+f.gg.parms$set_column_width(3, 60)
+f.gg.parms$set_column_width(4, 50)
+f.gg.parms$set_column_width(5, 60)
+
+# 1}}}
# vim: set foldmethod=marker ts=2 sw=2 expandtab:
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