Nothing
################################################################################
# CHANGE LOG (last 20 changes)
# 07.07.2023: Fixed Error in !is.na(.gData) && !is.null(.gData) in coercion to 'logical(1)
# 10.09.2022: Compacted the gui. Fixed narrow dropdowns. Removed destroy workaround.
# 10.04.2020: Added language support.
# 23.02.2019: Compacted and tweaked gui for tcltk.
# 17.02.2019: Fixed Error in if (svalue(savegui_chk)) { : argument is of length zero (tcltk)
# 13.07.2017: Fixed issue with button handlers.
# 13.07.2017: Fixed expanded 'gexpandgroup'.
# 13.07.2017: Fixed narrow dropdown with hidden argument ellipsize = "none".
# 07.07.2017: Replaced 'droplist' with 'gcombobox'.
# 07.07.2017: Removed argument 'border' for 'gbutton'.
# 11.11.2015: Added importFrom ggplot2.
# 29.08.2015: Added importFrom.
# 28.06.2015: Changed confidence interval level to match one-sided critical t-value.
# 01.06.2015: First version.
#' @title Plot Analytical Threshold
#'
#' @description
#' GUI simplifying the creation of plots from analytical threshold data.
#'
#' @details Select data to plot in the drop-down menu. Plot regression data
#' Automatic plot titles can be replaced by custom titles.
#' A name for the result is automatically suggested.
#' The resulting plot can be saved as either a plot object or as an image.
#' @param env environment in which to search for data frames.
#' @param savegui logical indicating if GUI settings should be saved in the environment.
#' @param debug logical indicating printing debug information.
#' @param parent widget to get focus when finished.
#'
#' @return TRUE
#'
#' @export
#'
#' @importFrom utils help str
#' @importFrom ggplot2 stat_smooth geom_abline xlim ggplot aes_string geom_point
#' position_jitter coord_cartesian theme element_text labs xlab ylab
#'
#' @seealso \url{https://ggplot2.tidyverse.org/} for details on plot settings.
plotAT_gui <- function(env = parent.frame(), savegui = NULL, debug = FALSE, parent = NULL) {
# Global variables.
.gData <- NULL
.gDataName <- NULL
.gPlot <- NULL
# Language ------------------------------------------------------------------
# Get this functions name from call.
fnc <- as.character(match.call()[[1]])
if (debug) {
print(paste("IN:", fnc))
}
# Default strings.
strWinTitle <- "Plot analytical threshold"
strChkGui <- "Save GUI settings"
strBtnHelp <- "Help"
strFrmDataset <- "Dataset"
strLblDataset <- "AT6 dataset:"
strDrpDataset <- "<Select dataset>"
strLblSamples <- "samples"
strFrmOptions <- "Options"
strChkOverride <- "Override automatic titles"
strLblTitlePlot <- "Plot title:"
strLblTitleX <- "X title:"
strLblTitleY <- "Y title:"
strLblTheme <- "Plot theme:"
strExpPoints <- "Data points"
strLblShape <- "Shape:"
strLblAlpha <- "Alpha:"
strLblJitter <- "Jitter (width):"
strExpAxes <- "Axes"
strLblLimitY <- "Limit Y axis (min-max)"
strLblLimitX <- "Limit X axis (min-max)"
strLblScales <- "Scales:"
strExpLabels <- "X labels"
strLblSize <- "Text size (pts):"
strLblAngle <- "Angle:"
strLblJustification <- "Justification (v/h):"
strFrmPlot <- "Plot analytical threshold data"
strBtnPlot <- "Plot AT6"
strBtnProcessing <- "Processing..."
strFrmSave <- "Save as"
strLblSave <- "Name for result:"
strBtnSaveObject <- "Save as object"
strBtnSaveImage <- "Save as image"
strBtnObjectSaved <- "Object saved"
strLblMainTitleLinear <- "Linear regression"
strLblMainTitleWeighted <- "Weighted linear regression"
strLblXTitle <- "Amount (pg)"
strLblYTitle <- "Average Peak Height (RFU)"
strMsgNotDf <- "Data set must be a data.frame!"
strMsgTitleError <- "Error"
# Get strings from language file.
dtStrings <- getStrings(gui = fnc)
# If language file is found.
if (!is.null(dtStrings)) {
# Get language strings, use default if not found.
strtmp <- dtStrings["strWinTitle"]$value
strWinTitle <- ifelse(is.na(strtmp), strWinTitle, strtmp)
strtmp <- dtStrings["strChkGui"]$value
strChkGui <- ifelse(is.na(strtmp), strChkGui, strtmp)
strtmp <- dtStrings["strBtnHelp"]$value
strBtnHelp <- ifelse(is.na(strtmp), strBtnHelp, strtmp)
strtmp <- dtStrings["strFrmDataset"]$value
strFrmDataset <- ifelse(is.na(strtmp), strFrmDataset, strtmp)
strtmp <- dtStrings["strLblDataset"]$value
strLblDataset <- ifelse(is.na(strtmp), strLblDataset, strtmp)
strtmp <- dtStrings["strDrpDataset"]$value
strDrpDataset <- ifelse(is.na(strtmp), strDrpDataset, strtmp)
strtmp <- dtStrings["strLblSamples"]$value
strLblSamples <- ifelse(is.na(strtmp), strLblSamples, strtmp)
strtmp <- dtStrings["strFrmOptions"]$value
strFrmOptions <- ifelse(is.na(strtmp), strFrmOptions, strtmp)
strtmp <- dtStrings["strChkOverride"]$value
strChkOverride <- ifelse(is.na(strtmp), strChkOverride, strtmp)
strtmp <- dtStrings["strLblTitlePlot"]$value
strLblTitlePlot <- ifelse(is.na(strtmp), strLblTitlePlot, strtmp)
strtmp <- dtStrings["strLblTitleX"]$value
strLblTitleX <- ifelse(is.na(strtmp), strLblTitleX, strtmp)
strtmp <- dtStrings["strLblTitleY"]$value
strLblTitleY <- ifelse(is.na(strtmp), strLblTitleY, strtmp)
strtmp <- dtStrings["strLblTheme"]$value
strLblTheme <- ifelse(is.na(strtmp), strLblTheme, strtmp)
strtmp <- dtStrings["strExpPoints"]$value
strExpPoints <- ifelse(is.na(strtmp), strExpPoints, strtmp)
strtmp <- dtStrings["strLblShape"]$value
strLblShape <- ifelse(is.na(strtmp), strLblShape, strtmp)
strtmp <- dtStrings["strLblAlpha"]$value
strLblAlpha <- ifelse(is.na(strtmp), strLblAlpha, strtmp)
strtmp <- dtStrings["strLblJitter"]$value
strLblJitter <- ifelse(is.na(strtmp), strLblJitter, strtmp)
strtmp <- dtStrings["strExpAxes"]$value
strExpAxes <- ifelse(is.na(strtmp), strExpAxes, strtmp)
strtmp <- dtStrings["strLblLimitY"]$value
strLblLimitY <- ifelse(is.na(strtmp), strLblLimitY, strtmp)
strtmp <- dtStrings["strLblLimitX"]$value
strLblLimitX <- ifelse(is.na(strtmp), strLblLimitX, strtmp)
strtmp <- dtStrings["strLblScales"]$value
strLblScales <- ifelse(is.na(strtmp), strLblScales, strtmp)
strtmp <- dtStrings["strExpLabels"]$value
strExpLabels <- ifelse(is.na(strtmp), strExpLabels, strtmp)
strtmp <- dtStrings["strLblSize"]$value
strLblSize <- ifelse(is.na(strtmp), strLblSize, strtmp)
strtmp <- dtStrings["strLblAngle"]$value
strLblAngle <- ifelse(is.na(strtmp), strLblAngle, strtmp)
strtmp <- dtStrings["strLblJustification"]$value
strLblJustification <- ifelse(is.na(strtmp), strLblJustification, strtmp)
strtmp <- dtStrings["strFrmPlot"]$value
strFrmPlot <- ifelse(is.na(strtmp), strFrmPlot, strtmp)
strtmp <- dtStrings["strBtnPlot"]$value
strBtnPlot <- ifelse(is.na(strtmp), strBtnPlot, strtmp)
strtmp <- dtStrings["strBtnProcessing"]$value
strBtnProcessing <- ifelse(is.na(strtmp), strBtnProcessing, strtmp)
strtmp <- dtStrings["strFrmSave"]$value
strFrmSave <- ifelse(is.na(strtmp), strFrmSave, strtmp)
strtmp <- dtStrings["strLblSave"]$value
strLblSave <- ifelse(is.na(strtmp), strLblSave, strtmp)
strtmp <- dtStrings["strBtnSaveObject"]$value
strBtnSaveObject <- ifelse(is.na(strtmp), strBtnSaveObject, strtmp)
strtmp <- dtStrings["strBtnSaveImage"]$value
strBtnSaveImage <- ifelse(is.na(strtmp), strBtnSaveImage, strtmp)
strtmp <- dtStrings["strBtnObjectSaved"]$value
strBtnObjectSaved <- ifelse(is.na(strtmp), strBtnObjectSaved, strtmp)
strtmp <- dtStrings["strLblMainTitleLinear"]$value
strLblMainTitleLinear <- ifelse(is.na(strtmp), strLblMainTitleLinear, strtmp)
strtmp <- dtStrings["strLblMainTitleWeighted"]$value
strLblMainTitleWeighted <- ifelse(is.na(strtmp), strLblMainTitleWeighted, strtmp)
strtmp <- dtStrings["strLblXTitle"]$value
strLblXTitle <- ifelse(is.na(strtmp), strLblXTitle, strtmp)
strtmp <- dtStrings["strLblYTitle"]$value
strLblYTitle <- ifelse(is.na(strtmp), strLblYTitle, strtmp)
strtmp <- dtStrings["strMsgNotDf"]$value
strMsgNotDf <- ifelse(is.na(strtmp), strMsgNotDf, strtmp)
strtmp <- dtStrings["strMsgTitleError"]$value
strMsgTitleError <- ifelse(is.na(strtmp), strMsgTitleError, strtmp)
}
# WINDOW ####################################################################
# Main window.
w <- gwindow(title = strWinTitle, visible = FALSE)
# Runs when window is closed.
addHandlerUnrealize(w, handler = function(h, ...) {
# Save GUI state.
.saveSettings()
# Focus on parent window.
if (!is.null(parent)) {
focus(parent)
}
# Destroy window.
return(FALSE)
})
# Vertical main group.
gv <- ggroup(
horizontal = FALSE,
spacing = 1,
use.scrollwindow = FALSE,
container = w,
expand = TRUE
)
# Help button group.
gh <- ggroup(container = gv, expand = FALSE, fill = "both")
savegui_chk <- gcheckbox(text = strChkGui, checked = FALSE, container = gh)
addSpring(gh)
help_btn <- gbutton(text = strBtnHelp, container = gh)
addHandlerChanged(help_btn, handler = function(h, ...) {
# Open help page for function.
print(help(fnc, help_type = "html"))
})
# FRAME 0 ###################################################################
f0 <- gframe(
text = strFrmDataset,
horizontal = TRUE,
spacing = 1,
container = gv
)
glabel(text = strLblDataset, container = f0)
samples_lbl <- glabel(
text = paste("0", strLblSamples),
container = f0
)
dataset_drp <- gcombobox(
items = c(
strDrpDataset,
listObjects(
env = env,
obj.class = "data.frame"
)
),
selected = 1,
editable = FALSE,
container = f0,
ellipsize = "none",
expand = TRUE,
fill = "x"
)
addHandlerChanged(dataset_drp, handler = function(h, ...) {
val_obj <- svalue(dataset_drp)
# Check if suitable.
requiredCol <- c("Amount", "Height", "AT6")
ok <- checkDataset(
name = val_obj, reqcol = requiredCol,
env = env, parent = w, debug = debug
)
if (ok) {
# Load or change components.
# Get data.
.gData <<- get(val_obj, envir = env)
# Suggest name.
svalue(f5_save_edt) <- paste(val_obj, "_ggplot", sep = "")
svalue(samples_lbl) <- paste(
length(unique(.gData$Sample.Name)),
strLblSamples
)
# Enable buttons.
enabled(plot_at6_btn) <- TRUE
} else {
# Reset components.
.gData <<- NULL
svalue(f5_save_edt) <- ""
svalue(dataset_drp, index = TRUE) <- 1
svalue(samples_lbl) <- paste("0", strLblSamples)
}
})
# FRAME 1 ###################################################################
f1 <- gframe(
text = strFrmOptions,
horizontal = FALSE,
spacing = 1,
container = gv
)
titles_chk <- gcheckbox(
text = strChkOverride,
checked = FALSE, container = f1
)
addHandlerChanged(titles_chk, handler = function(h, ...) {
.updateGui()
})
titles_group <- ggroup(
container = f1, spacing = 1, horizontal = FALSE,
expand = TRUE, fill = TRUE
)
# Legends
glabel(text = strLblTitlePlot, container = titles_group, anchor = c(-1, 0))
title_edt <- gedit(expand = TRUE, fill = TRUE, container = titles_group)
glabel(text = strLblTitleX, container = titles_group, anchor = c(-1, 0))
x_title_edt <- gedit(expand = TRUE, fill = TRUE, container = titles_group)
glabel(text = strLblTitleY, container = titles_group, anchor = c(-1, 0))
y_title_edt <- gedit(expand = TRUE, fill = TRUE, container = titles_group)
f1g2 <- glayout(container = f1)
f1g2[1, 1] <- glabel(text = strLblTheme, anchor = c(-1, 0), container = f1g2)
f1g2[1, 2] <- f1_theme_drp <- gcombobox(
items = c("theme_grey()", "theme_bw()"),
selected = 1,
container = f1g2,
ellipsize = "none"
)
# FRAME 7 ###################################################################
f7 <- gframe(
text = strFrmPlot,
horizontal = FALSE,
container = gv
)
grid7 <- glayout(container = f7)
grid7[1, 1] <- plot_at6_btn <- gbutton(text = strBtnPlot, container = grid7)
addHandlerChanged(plot_at6_btn, handler = function(h, ...) {
enabled(plot_at6_btn) <- FALSE
.plotAT(what = "AT6")
enabled(plot_at6_btn) <- TRUE
})
# FRAME 5 ###################################################################
f5 <- gframe(
text = strFrmSave,
horizontal = TRUE,
spacing = 1,
container = gv
)
glabel(text = strLblSave, container = f5)
f5_save_edt <- gedit(expand = TRUE, fill = TRUE, container = f5)
f5_save_btn <- gbutton(text = strBtnSaveObject, container = f5)
f5_ggsave_btn <- gbutton(text = strBtnSaveImage, container = f5)
addHandlerClicked(f5_save_btn, handler = function(h, ...) {
val_name <- svalue(f5_save_edt)
# Change button.
blockHandlers(f5_save_btn)
svalue(f5_save_btn) <- strBtnProcessing
unblockHandlers(f5_save_btn)
enabled(f5_save_btn) <- FALSE
# Save data.
saveObject(
name = val_name, object = .gPlot,
parent = w, env = env, debug = debug
)
# Change button.
blockHandlers(f5_save_btn)
svalue(f5_save_btn) <- strBtnObjectSaved
unblockHandlers(f5_save_btn)
})
addHandlerChanged(f5_ggsave_btn, handler = function(h, ...) {
val_name <- svalue(f5_save_edt)
# Save data.
ggsave_gui(
ggplot = .gPlot, name = val_name,
parent = w, env = env, savegui = savegui, debug = debug
)
})
# ADVANCED OPTIONS ##########################################################
e2 <- gexpandgroup(
text = strExpPoints,
horizontal = FALSE,
container = f1
)
# Start collapsed.
visible(e2) <- FALSE
grid2 <- glayout(container = e2)
grid2[1, 1] <- glabel(text = strLblShape, container = grid2)
grid2[1, 2] <- shape_spb <- gspinbutton(
from = 0, to = 25,
by = 1, value = 18,
container = grid2
)
grid2[1, 3] <- glabel(text = strLblAlpha, container = grid2)
grid2[1, 4] <- alpha_spb <- gspinbutton(
from = 0, to = 1,
by = 0.01, value = 1,
container = grid2
)
grid2[1, 5] <- glabel(text = strLblJitter, container = grid2)
grid2[1, 6] <- jitter_txt <- gedit(text = "0", width = 4, container = grid2)
# FRAME 3 ###################################################################
e3 <- gexpandgroup(
text = strExpAxes,
horizontal = FALSE,
container = f1
)
# Start collapsed.
visible(e3) <- FALSE
grid3 <- glayout(container = e3, spacing = 1)
grid3[1, 1:2] <- glabel(text = strLblLimitY, container = grid3)
grid3[2, 1] <- y_min_txt <- gedit(text = "", width = 5, container = grid3)
grid3[2, 2] <- y_max_txt <- gedit(text = "", width = 5, container = grid3)
grid3[3, 1:2] <- glabel(text = strLblLimitX, container = grid3)
grid3[4, 1] <- x_min_txt <- gedit(text = "", width = 5, container = grid3)
grid3[4, 2] <- x_max_txt <- gedit(text = "", width = 5, container = grid3)
grid3[1, 3] <- glabel(text = " ", container = grid3) # Add some space.
grid3[1, 4] <- glabel(text = strLblScales, container = grid3)
grid3[2:4, 4] <- scales_opt <- gradio(
items = c("fixed", "free_x", "free_y", "free"),
selected = 2,
horizontal = FALSE,
container = grid3
)
# FRAME 4 ###################################################################
e4 <- gexpandgroup(
text = strExpLabels,
horizontal = FALSE,
container = f1
)
# Start collapsed.
visible(e4) <- FALSE
grid4 <- glayout(container = e4)
grid4[1, 1] <- glabel(text = strLblSize, container = grid4)
grid4[1, 2] <- size_txt <- gedit(text = "10", width = 4, container = grid4)
grid4[1, 3] <- glabel(text = strLblAngle, container = grid4)
grid4[1, 4] <- angle_spb <- gspinbutton(
from = 0, to = 360, by = 1,
value = 270,
container = grid4
)
grid4[2, 1] <- glabel(text = strLblJustification, container = grid4)
grid4[2, 2] <- vjust_spb <- gspinbutton(
from = 0, to = 1, by = 0.1,
value = 0.5,
container = grid4
)
grid4[2, 3] <- hjust_spb <- gspinbutton(
from = 0, to = 1, by = 0.1,
value = 0,
container = grid4
)
# FUNCTIONS #################################################################
.plotAT <- function(what) {
# Get values.
val_titles <- svalue(titles_chk)
val_title <- svalue(title_edt)
val_xtitle <- svalue(x_title_edt)
val_ytitle <- svalue(y_title_edt)
val_shape <- as.numeric(svalue(shape_spb))
val_alpha <- as.numeric(svalue(alpha_spb))
val_jitter <- as.numeric(svalue(jitter_txt))
val_ymin <- as.numeric(svalue(y_min_txt))
val_ymax <- as.numeric(svalue(y_max_txt))
val_xmin <- as.numeric(svalue(x_min_txt))
val_xmax <- as.numeric(svalue(x_max_txt))
val_angle <- as.numeric(svalue(angle_spb))
val_vjust <- as.numeric(svalue(vjust_spb))
val_hjust <- as.numeric(svalue(hjust_spb))
val_size <- as.numeric(svalue(size_txt))
val_scales <- svalue(scales_opt)
val_theme <- svalue(f1_theme_drp)
if (debug) {
print("ARGUMENTS:")
print("val_title")
print(val_title)
print("val_xtitle")
print(val_xtitle)
print("val_ytitle")
print(val_ytitle)
print("val_shape")
print(val_shape)
print("val_alpha")
print(val_alpha)
print("val_jitter")
print(val_jitter)
print("val_ymin")
print(val_ymin)
print("val_ymax")
print(val_ymax)
print("val_angle")
print(val_angle)
print("val_vjust")
print(val_vjust)
print("val_hjust")
print(val_hjust)
print("val_size")
print(val_size)
print("val_scales")
print(val_scales)
print("str(.gData)")
print(str(.gData))
print("val_theme")
print(val_theme)
}
if (is.data.frame(.gData)) {
# Plotting data and regression for AT6.
if (what == "AT6") {
if (val_titles) {
mainTitle <- val_title
xTitle <- val_xtitle
yTitle <- val_ytitle
} else {
if (all(is.na(.gData$Weight))) {
mainTitle <- strLblMainTitleLinear
} else {
mainTitle <- strLblMainTitleWeighted
}
subTitle <- paste("AT6:", round(unique(.gData$AT6), 0), "(RFU)")
xTitle <- strLblXTitle
yTitle <- strLblYTitle
}
# Create plot.
gp <- ggplot(data = .gData, aes_string(x = "Amount", y = "Height"))
# Get
npoints <- unique(.gData$N)
alpha <- unique(.gData$Alpha)
atinterc <- unique(.gData$AT6)
if (all(is.na(.gData$Weight))) {
# Add regression line.
gp <- gp + stat_smooth(aes_string(x = "Amount", y = "Height"),
method = "lm", se = TRUE, n = npoints,
fullrange = TRUE, level = 1 - alpha * 2
)
} else {
# Add weighted regression line.
gp <- gp + stat_smooth(aes_string(x = "Amount", y = "Height", weight = "Weight"),
method = "lm", se = TRUE, n = npoints,
fullrange = TRUE, level = 1 - alpha * 2
)
}
# Addthreshold line.
gp <- gp + geom_abline(
intercept = atinterc,
slope = 0, linetype = "dotted"
)
# Set x-axis to extend regression line.
gp <- gp + xlim(0, max(.gData$Amount))
}
# Apply theme.
gp <- gp + eval(parse(text = val_theme))
# Plot settings.
gp <- gp + geom_point(
shape = val_shape, alpha = val_alpha,
position = position_jitter(height = 0, width = val_jitter)
)
# Restrict y axis.
if (!is.na(val_ymin) && !is.na(val_ymax)) {
val_y <- c(val_ymin, val_ymax)
} else {
val_y <- NULL
}
# Restrict x axis.
if (!is.na(val_xmin) && !is.na(val_xmax)) {
val_x <- c(val_xmin, val_xmax)
} else {
val_x <- NULL
}
# Zoom in without dropping observations.
gp <- gp + coord_cartesian(xlim = val_x, ylim = val_y)
if (debug) {
print(paste("Plot zoomed to xlim:", val_x, "ylim:", val_y))
}
# Titles.
gp <- gp + theme(axis.text.x = element_text(
angle = val_angle,
hjust = val_hjust,
vjust = val_vjust,
size = val_size
))
gp <- gp + labs(title = paste(mainTitle, "\n", subTitle))
gp <- gp + xlab(xTitle)
gp <- gp + ylab(yTitle)
# Restrict y axis.
if (!is.na(val_ymin) && !is.na(val_ymax)) {
val_y <- c(val_ymin, val_ymax)
} else {
val_y <- NULL
}
# Restrict x axis.
if (!is.na(val_xmin) && !is.na(val_xmax)) {
val_x <- c(val_xmin, val_xmax)
} else {
val_x <- NULL
}
# Zoom in without dropping observations.
gp <- gp + coord_cartesian(xlim = val_x, ylim = val_y)
if (debug) {
print(paste("Plot zoomed to xlim:", val_x, "ylim:", val_y))
}
# Show plot.
print(gp)
# Change save button.
svalue(f5_save_btn) <- "Save as object"
enabled(f5_save_btn) <- TRUE
# Store in global variable.
.gPlot <<- gp
} else {
gmessage(
msg = strMsgNotDf,
title = strMsgTitleError,
icon = "error"
)
}
}
# INTERNAL FUNCTIONS ########################################################
.updateGui <- function() {
# Override titles.
val <- svalue(titles_chk)
if (val) {
enabled(titles_group) <- TRUE
} else {
enabled(titles_group) <- FALSE
}
}
.loadSavedSettings <- function() {
# First check status of save flag.
if (!is.null(savegui)) {
svalue(savegui_chk) <- savegui
enabled(savegui_chk) <- FALSE
if (debug) {
print("Save GUI status set!")
}
} else {
# Load save flag.
if (exists(".strvalidator_plotAT_gui_savegui", envir = env, inherits = FALSE)) {
svalue(savegui_chk) <- get(".strvalidator_plotAT_gui_savegui", envir = env)
}
if (debug) {
print("Save GUI status loaded!")
}
}
if (debug) {
print(svalue(savegui_chk))
}
# Then load settings if true.
if (svalue(savegui_chk)) {
if (exists(".strvalidator_plotAT_gui_title", envir = env, inherits = FALSE)) {
svalue(title_edt) <- get(".strvalidator_plotAT_gui_title", envir = env)
}
if (exists(".strvalidator_plotAT_gui_title_chk", envir = env, inherits = FALSE)) {
svalue(titles_chk) <- get(".strvalidator_plotAT_gui_title_chk", envir = env)
}
if (exists(".strvalidator_plotAT_gui_x_title", envir = env, inherits = FALSE)) {
svalue(x_title_edt) <- get(".strvalidator_plotAT_gui_x_title", envir = env)
}
if (exists(".strvalidator_plotAT_gui_y_title", envir = env, inherits = FALSE)) {
svalue(y_title_edt) <- get(".strvalidator_plotAT_gui_y_title", envir = env)
}
if (exists(".strvalidator_plotAT_gui_points_shape", envir = env, inherits = FALSE)) {
svalue(shape_spb) <- get(".strvalidator_plotAT_gui_points_shape", envir = env)
}
if (exists(".strvalidator_plotAT_gui_points_alpha", envir = env, inherits = FALSE)) {
svalue(alpha_spb) <- get(".strvalidator_plotAT_gui_points_alpha", envir = env)
}
if (exists(".strvalidator_plotAT_gui_points_jitter", envir = env, inherits = FALSE)) {
svalue(jitter_txt) <- get(".strvalidator_plotAT_gui_points_jitter", envir = env)
}
if (exists(".strvalidator_plotAT_gui_axes_y_min", envir = env, inherits = FALSE)) {
svalue(y_min_txt) <- get(".strvalidator_plotAT_gui_axes_y_min", envir = env)
}
if (exists(".strvalidator_plotAT_gui_axes_y_max", envir = env, inherits = FALSE)) {
svalue(y_max_txt) <- get(".strvalidator_plotAT_gui_axes_y_max", envir = env)
}
if (exists(".strvalidator_plotAT_gui_axes_x_min", envir = env, inherits = FALSE)) {
svalue(x_min_txt) <- get(".strvalidator_plotAT_gui_axes_x_min", envir = env)
}
if (exists(".strvalidator_plotAT_gui_axes_x_max", envir = env, inherits = FALSE)) {
svalue(x_max_txt) <- get(".strvalidator_plotAT_gui_axes_x_max", envir = env)
}
if (exists(".strvalidator_plotAT_gui_axes_scales", envir = env, inherits = FALSE)) {
svalue(scales_opt) <- get(".strvalidator_plotAT_gui_axes_scales", envir = env)
}
if (exists(".strvalidator_plotAT_gui_xlabel_size", envir = env, inherits = FALSE)) {
svalue(size_txt) <- get(".strvalidator_plotAT_gui_xlabel_size", envir = env)
}
if (exists(".strvalidator_plotAT_gui_xlabel_angle", envir = env, inherits = FALSE)) {
svalue(angle_spb) <- get(".strvalidator_plotAT_gui_xlabel_angle", envir = env)
}
if (exists(".strvalidator_plotAT_gui_xlabel_justh", envir = env, inherits = FALSE)) {
svalue(hjust_spb) <- get(".strvalidator_plotAT_gui_xlabel_justh", envir = env)
}
if (exists(".strvalidator_plotAT_gui_xlabel_justv", envir = env, inherits = FALSE)) {
svalue(vjust_spb) <- get(".strvalidator_plotAT_gui_xlabel_justv", envir = env)
}
if (exists(".strvalidator_plotAT_gui_theme", envir = env, inherits = FALSE)) {
svalue(f1_theme_drp) <- get(".strvalidator_plotAT_gui_theme", envir = env)
}
if (debug) {
print("Saved settings loaded!")
}
}
}
.saveSettings <- function() {
# Then save settings if true.
if (svalue(savegui_chk)) {
assign(x = ".strvalidator_plotAT_gui_savegui", value = svalue(savegui_chk), envir = env)
assign(x = ".strvalidator_plotAT_gui_title", value = svalue(title_edt), envir = env)
assign(x = ".strvalidator_plotAT_gui_title_chk", value = svalue(titles_chk), envir = env)
assign(x = ".strvalidator_plotAT_gui_x_title", value = svalue(x_title_edt), envir = env)
assign(x = ".strvalidator_plotAT_gui_y_title", value = svalue(y_title_edt), envir = env)
assign(x = ".strvalidator_plotAT_gui_points_shape", value = svalue(shape_spb), envir = env)
assign(x = ".strvalidator_plotAT_gui_points_alpha", value = svalue(alpha_spb), envir = env)
assign(x = ".strvalidator_plotAT_gui_points_jitter", value = svalue(jitter_txt), envir = env)
assign(x = ".strvalidator_plotAT_gui_axes_y_min", value = svalue(y_min_txt), envir = env)
assign(x = ".strvalidator_plotAT_gui_axes_y_max", value = svalue(y_max_txt), envir = env)
assign(x = ".strvalidator_plotAT_gui_axes_x_min", value = svalue(x_min_txt), envir = env)
assign(x = ".strvalidator_plotAT_gui_axes_x_max", value = svalue(x_max_txt), envir = env)
assign(x = ".strvalidator_plotAT_gui_axes_scales", value = svalue(scales_opt), envir = env)
assign(x = ".strvalidator_plotAT_gui_xlabel_size", value = svalue(size_txt), envir = env)
assign(x = ".strvalidator_plotAT_gui_xlabel_angle", value = svalue(angle_spb), envir = env)
assign(x = ".strvalidator_plotAT_gui_xlabel_justh", value = svalue(hjust_spb), envir = env)
assign(x = ".strvalidator_plotAT_gui_xlabel_justv", value = svalue(vjust_spb), envir = env)
assign(x = ".strvalidator_plotAT_gui_theme", value = svalue(f1_theme_drp), envir = env)
} else { # or remove all saved values if false.
if (exists(".strvalidator_plotAT_gui_savegui", envir = env, inherits = FALSE)) {
remove(".strvalidator_plotAT_gui_savegui", envir = env)
}
if (exists(".strvalidator_plotAT_gui_title", envir = env, inherits = FALSE)) {
remove(".strvalidator_plotAT_gui_title", envir = env)
}
if (exists(".strvalidator_plotAT_gui_title_chk", envir = env, inherits = FALSE)) {
remove(".strvalidator_plotAT_gui_title_chk", envir = env)
}
if (exists(".strvalidator_plotAT_gui_x_title", envir = env, inherits = FALSE)) {
remove(".strvalidator_plotAT_gui_x_title", envir = env)
}
if (exists(".strvalidator_plotAT_gui_y_title", envir = env, inherits = FALSE)) {
remove(".strvalidator_plotAT_gui_y_title", envir = env)
}
if (exists(".strvalidator_plotAT_gui_points_shape", envir = env, inherits = FALSE)) {
remove(".strvalidator_plotAT_gui_points_shape", envir = env)
}
if (exists(".strvalidator_plotAT_gui_points_alpha", envir = env, inherits = FALSE)) {
remove(".strvalidator_plotAT_gui_points_alpha", envir = env)
}
if (exists(".strvalidator_plotAT_gui_points_jitter", envir = env, inherits = FALSE)) {
remove(".strvalidator_plotAT_gui_points_jitter", envir = env)
}
if (exists(".strvalidator_plotAT_gui_axes_y_min", envir = env, inherits = FALSE)) {
remove(".strvalidator_plotAT_gui_axes_y_min", envir = env)
}
if (exists(".strvalidator_plotAT_gui_axes_y_max", envir = env, inherits = FALSE)) {
remove(".strvalidator_plotAT_gui_axes_y_max", envir = env)
}
if (exists(".strvalidator_plotAT_gui_axes_x_min", envir = env, inherits = FALSE)) {
remove(".strvalidator_plotAT_gui_axes_x_min", envir = env)
}
if (exists(".strvalidator_plotAT_gui_axes_x_max", envir = env, inherits = FALSE)) {
remove(".strvalidator_plotAT_gui_axes_x_max", envir = env)
}
if (exists(".strvalidator_plotAT_gui_axes_scales", envir = env, inherits = FALSE)) {
remove(".strvalidator_plotAT_gui_axes_scales", envir = env)
}
if (exists(".strvalidator_plotAT_gui_xlabel_size", envir = env, inherits = FALSE)) {
remove(".strvalidator_plotAT_gui_xlabel_size", envir = env)
}
if (exists(".strvalidator_plotAT_gui_xlabel_angle", envir = env, inherits = FALSE)) {
remove(".strvalidator_plotAT_gui_xlabel_angle", envir = env)
}
if (exists(".strvalidator_plotAT_gui_xlabel_justh", envir = env, inherits = FALSE)) {
remove(".strvalidator_plotAT_gui_xlabel_justh", envir = env)
}
if (exists(".strvalidator_plotAT_gui_xlabel_justv", envir = env, inherits = FALSE)) {
remove(".strvalidator_plotAT_gui_xlabel_justv", envir = env)
}
if (exists(".strvalidator_plotAT_gui_theme", envir = env, inherits = FALSE)) {
remove(".strvalidator_plotAT_gui_theme", envir = env)
}
if (debug) {
print("Settings cleared!")
}
}
if (debug) {
print("Settings saved!")
}
}
# END GUI ###################################################################
# Load GUI settings.
.loadSavedSettings()
.updateGui()
# Show GUI.
visible(w) <- TRUE
focus(w)
}
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