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.
# 13.04.2020: Added language support.
# 13.04.2020: Implemented function checkDataset.
# 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'.
# 16.06.2016: 'Save as' textbox expandable.
# 11.11.2015: Added importFrom ggplot2.
# 29.08.2015: Added importFrom.
# 11.10.2014: Added 'focus', added 'parent' parameter.
# 07.08.2014: Fixed boxplot error
# Error: stat_boxplot requires the following missing aesthetics: x, y
# 28.06.2014: Added help button and moved save gui checkbox.
# 08.05.2014: Implemented 'checkDataset'.
# 28.02.2014: Fixed plot object not saved in '.gPlot'.
#' @title Plot Capillary Balance
#'
#' @description
#' GUI simplifying the creation of plots from capillary balance data.
#'
#' @details Select a dataset to plot from the drop-down menu.
#' Plot capillary balance as a dotplot, boxplot or as a distribution.
#' 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 and save result.
#' @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 ggplot aes_string facet_grid geom_point geom_line labs
#' geom_boxplot stat_boxplot theme geom_density coord_cartesian
#'
#' @seealso \url{https://ggplot2.tidyverse.org/} for details on plot settings.
plotCapillary_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 capillary balance"
strChkGui <- "Save GUI settings"
strBtnHelp <- "Help"
strFrmDataset <- "Dataset"
strLblDataset <- "Dataset:"
strDrpDataset <- "<Select dataset>"
strLblRows <- "rows"
strFrmOptions <- "Options"
strChkOverride <- "Override automatic titles"
strLblTitlePlot <- "Plot title:"
strLblTitleSub <- "Sub title:"
strLblTitleX <- "X title:"
strLblTitleY <- "Y title:"
strExpPoints <- "Data points"
strLblShape <- "Shape:"
strLblAlpha <- "Alpha:"
strExpAxes <- "Axes"
strLblLimitY <- "Limit Y axis (min-max)"
strFrmPlot <- "Plot capillary balance data"
strBtnDotplot <- "Dotplot"
strBtnBoxplot <- "Boxplot"
strBtnDistribution <- "Distribution"
strBtnProcessing <- "Processing..."
strFrmSave <- "Save as"
strLblSave <- "Name for result:"
strBtnSaveObject <- "Save as object"
strBtnSaveImage <- "Save as image"
strBtnObjectSaved <- "Object saved"
strLblMainTitleDotplot <- "Mean peak height grouped by capillary for"
strLblMainTitleBoxplot <- "Mean peak height by capillary for"
strLblMainTitleDistribution <- "Mean peak height for"
strLblMainSubTitleDotplot <- "[dotted blue line indicate global mean, red line indicate median per capillary]"
strLblXTitleInjection <- "Injection"
strLblXTitleCapillary <- "Capillary"
strLblXTitleDensity <- "Density"
strLblYTitleMean <- "Mean 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["strLblRows"]$value
strLblRows <- ifelse(is.na(strtmp), strLblRows, strtmp)
strtmp <- dtStrings["strFrmOptions"]$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["strLblTitleSub"]$value
strLblTitleSub <- ifelse(is.na(strtmp), strLblTitleSub, strtmp)
strtmp <- dtStrings["strLblTitleX"]$value
strLblTitleX <- ifelse(is.na(strtmp), strLblTitleX, strtmp)
strtmp <- dtStrings["strLblTitleY"]$value
strLblTitleY <- ifelse(is.na(strtmp), strLblTitleY, strtmp)
strtmp <- dtStrings["strExpPoints"]$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["strExpAxes"]$value
strExpAxes <- ifelse(is.na(strtmp), strExpAxes, strtmp)
strtmp <- dtStrings["strLblLimitY"]$value
strLblLimitY <- ifelse(is.na(strtmp), strLblLimitY, strtmp)
strtmp <- dtStrings["strFrmPlot"]$value
strFrmPlot <- ifelse(is.na(strtmp), strFrmPlot, strtmp)
strtmp <- dtStrings["strBtnDotplot"]$value
strBtnDotplot <- ifelse(is.na(strtmp), strBtnDotplot, strtmp)
strtmp <- dtStrings["strBtnBoxplot"]$value
strBtnBoxplot <- ifelse(is.na(strtmp), strBtnBoxplot, strtmp)
strtmp <- dtStrings["strBtnDistribution"]$value
strBtnDistribution <- ifelse(is.na(strtmp), strBtnDistribution, 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["strLblMainTitleDotplot"]$value
strLblMainTitleDotplot <- ifelse(is.na(strtmp), strLblMainTitleDotplot, strtmp)
strtmp <- dtStrings["strLblMainTitleBoxplot"]$value
strLblMainTitleBoxplot <- ifelse(is.na(strtmp), strLblMainTitleBoxplot, strtmp)
strtmp <- dtStrings["strLblMainTitleDistribution"]$value
strLblMainTitleDistribution <- ifelse(is.na(strtmp), strLblMainTitleDistribution, strtmp)
strtmp <- dtStrings["strLblMainSubTitleDotplot"]$value
strLblMainSubTitleDotplot <- ifelse(is.na(strtmp), strLblMainSubTitleDotplot, strtmp)
strtmp <- dtStrings["strLblXTitleInjection"]$value
strLblXTitleInjection <- ifelse(is.na(strtmp), strLblXTitleInjection, strtmp)
strtmp <- dtStrings["strLblXTitleCapillary"]$value
strLblXTitleCapillary <- ifelse(is.na(strtmp), strLblXTitleCapillary, strtmp)
strtmp <- dtStrings["strLblXTitleDensity"]$value
strLblXTitleDensity <- ifelse(is.na(strtmp), strLblXTitleDensity, strtmp)
strtmp <- dtStrings["strLblYTitleMean"]$value
strLblYTitleMean <- ifelse(is.na(strtmp), strLblYTitleMean, 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)
})
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 ", strLblRows, sep = ""),
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(
"Instrument", "Instrument.ID", "Run",
"Mean.Height", "SQ", "Injection", "Capillary", "Well"
)
ok <- checkDataset(
name = val_obj, reqcol = requiredCol,
env = env, parent = w, debug = debug
)
if (ok) {
# Load or change components.
.gData <<- get(val_obj, envir = env)
.gDataName <<- val_obj
# Suggest name.
svalue(f5_save_edt) <- paste(val_obj, "_ggplot", sep = "")
svalue(samples_lbl) <- paste(" ",
nrow(.gData), " ", strLblRows,
sep = ""
)
# Enable buttons.
enabled(plot_dot_btn) <- TRUE
enabled(plot_box_btn) <- TRUE
} else {
# Reset components.
.gData <<- NULL
svalue(f5_save_edt) <- ""
svalue(dataset_drp, index = TRUE) <- 1
svalue(samples_lbl) <- paste(" 0 ", strLblRows, sep = "")
}
})
# 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 = strLblTitleSub, container = titles_group, anchor = c(-1, 0))
sub_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)
# FRAME 7 ###################################################################
f7 <- gframe(
text = strFrmPlot,
horizontal = TRUE,
container = gv,
spacing = 1
)
plot_dot_btn <- gbutton(text = strBtnDotplot, container = f7)
plot_box_btn <- gbutton(text = strBtnBoxplot, container = f7)
plot_dst_btn <- gbutton(text = strBtnDistribution, container = f7)
addHandlerChanged(plot_dot_btn, handler = function(h, ...) {
val_obj <- svalue(dataset_drp)
# Check if suitable.
requiredCol <- c(
"Instrument", "Instrument.ID", "Run", "Mean.Height",
"Injection", "Capillary", "Well", "Comment"
)
ok <- checkDataset(
name = val_obj, reqcol = requiredCol,
env = env, parent = w, debug = debug
)
if (ok) {
enabled(plot_dot_btn) <- FALSE
.plotBalance(what = "dotplot")
enabled(plot_dot_btn) <- TRUE
}
})
addHandlerChanged(plot_box_btn, handler = function(h, ...) {
val_obj <- svalue(dataset_drp)
# Check if suitable.
requiredCol <- c(
"Instrument", "Instrument.ID", "Run", "Mean.Height",
"Injection", "Capillary", "Well", "Comment"
)
ok <- checkDataset(
name = val_obj, reqcol = requiredCol,
env = env, parent = w, debug = debug
)
if (ok) {
enabled(plot_box_btn) <- FALSE
.plotBalance(what = "boxplot")
enabled(plot_box_btn) <- TRUE
}
})
addHandlerChanged(plot_dst_btn, handler = function(h, ...) {
val_obj <- svalue(dataset_drp)
# Check if suitable.
requiredCol <- c(
"Instrument", "Instrument.ID", "Run", "Mean.Height",
"Injection", "Capillary", "Well", "Comment"
)
ok <- checkDataset(
name = val_obj, reqcol = requiredCol,
env = env, parent = w, debug = debug
)
if (ok) {
enabled(plot_dst_btn) <- FALSE
.plotBalance(what = "dstplot")
enabled(plot_dst_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] <- e2_shape_spb <- gspinbutton(
from = 0, to = 25,
by = 1, value = 18,
container = grid2
)
grid2[1, 3] <- glabel(text = strLblAlpha, container = grid2)
grid2[1, 4] <- e2_alpha_spb <- gspinbutton(
from = 0, to = 1,
by = 0.01, value = 1,
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] <- e3_y_min_edt <- gedit(text = "", width = 5, container = grid3)
grid3[2, 2] <- e3_y_max_edt <- gedit(text = "", width = 5, container = grid3)
# FRAME 4 ###################################################################
# e4 <- gexpandgroup(text="X labels",
# horizontal=FALSE,
# container = f1)
#
# grid4 <- glayout(container = e4)
#
# grid4[1,1] <- glabel(text="Text size (pts):", container=grid4)
# grid4[1,2] <- e4_size_edt <- gedit(text="8", width=4, container=grid4)
# FUNCTIONS #################################################################
.plotBalance <- function(what) {
# Get values.
val_titles <- svalue(titles_chk)
val_title <- svalue(title_edt)
val_sub_title <- svalue(sub_title_edt)
val_x_title <- svalue(x_title_edt)
val_y_title <- svalue(y_title_edt)
val_shape <- as.numeric(svalue(e2_shape_spb))
val_alpha <- as.numeric(svalue(e2_alpha_spb))
val_ymin <- as.numeric(svalue(e3_y_min_edt))
val_ymax <- as.numeric(svalue(e3_y_max_edt))
# val_size <- as.numeric(svalue(e4_size_edt))
if (debug) {
print("val_titles")
print(val_titles)
print("val_title")
print(val_title)
print("val_sub_title")
print(val_sub_title)
print("val_x_title")
print(val_x_title)
print("val_y_title")
print(val_y_title)
print("val_shape")
print(val_shape)
print("val_alpha")
print(val_alpha)
print("val_ymin")
print(val_ymin)
print("val_ymax")
print(val_ymax)
# print("val_size")
# print(val_size)
print("str(.gData)")
print(str(.gData))
}
if (is.data.frame(.gData)) {
# Remove NA.
if (any(is.na(.gData$Mean.Height))) {
n0 <- nrow(.gData)
.gData <- .gData[!is.na(.gData$Mean.Height), ]
n1 <- nrow(.gData)
print(paste(n0 - n1, "NA rows removed from 'Mean.Height'."))
}
# Height must be numeric.
if (!is.numeric(.gData$Mean.Height)) {
.gData$Mean.Height <- as.numeric(.gData$Mean.Height)
message("'Mean.Height' not numeric, converting to numeric!")
}
# Capillary must be numeric.
if (!is.numeric(.gData$Capillary)) {
.gData$Capillary <- as.numeric(.gData$Capillary)
message("'Capillary' not numeric, converting to numeric!")
}
# Injection must be numeric.
if (!is.numeric(.gData$Injection)) {
.gData$Injection <- as.numeric(.gData$Injection)
message("'Injection' not numeric, converting to numeric!")
}
if (debug) {
print("Before plot: str(.gData)")
print(str(.gData))
}
# Select what to plot.
if (what == "dotplot") {
if (val_titles) {
mainTitle <- val_title
subTitle <- val_sub_title
xTitle <- val_x_title
yTitle <- val_y_title
} else {
mainTitle <- paste(strLblMainTitleDotplot, " ",
unique(.gData$Instrument.ID),
" (", unique(.gData$Instrument), ")",
sep = ""
)
subTitle <- strLblMainSubTitleDotplot
xTitle <- strLblXTitleInjection
yTitle <- strLblYTitleMean
}
# POINT (best for few replicates (injections))
gp <- ggplot(.gData, aes_string(x = "Injection", y = "Mean.Height", group = "Capillary"))
gp <- gp + facet_grid(. ~ Capillary, space = "fixed", scales = "fixed")
gp <- gp + geom_point(shape = val_shape, alpha = val_alpha)
gp <- gp + geom_line()
gp <- gp + geom_line(y = mean(.gData$Mean.Height, na.rm = TRUE), lty = "dotted", color = "blue")
gp <- gp + geom_line(stat = "hline", yintercept = "median", color = "red")
gp <- gp + labs(
title = paste(mainTitle, "\n", subTitle),
x = xTitle, y = yTitle
)
} else if (what == "boxplot") {
if (val_titles) {
mainTitle <- val_title
subTitle <- val_sub_title
xTitle <- val_x_title
yTitle <- val_y_title
} else {
mainTitle <- paste(strLblMainTitleBoxplot, " ",
unique(.gData$Instrument.ID),
" (", unique(.gData$Instrument), ")",
sep = ""
)
subTitle <- ""
xTitle <- strLblXTitleCapillary
yTitle <- strLblYTitleMean
}
# BOXPLOT (best suited for many replicates (injections))
# Note: aes allows the first two arguments to be unnamed and are assumed to be x and y (respectively)
# Note: aes_string does not have this shortcut, and so all arguments must be named.
.gData$Capillary <- factor(.gData$Capillary)
gp <- ggplot(.gData, aes_string(x = "Capillary", y = "Mean.Height"))
gp <- gp + geom_boxplot()
gp <- gp + stat_boxplot(geom = "errorbar")
gp <- gp + labs(
title = paste(mainTitle, "\n", subTitle),
x = xTitle, y = yTitle
)
gp <- gp + theme(legend.position = "none")
} else if (what == "dstplot") {
if (val_titles) {
mainTitle <- val_title
subTitle <- val_sub_title
xTitle <- val_x_title
yTitle <- val_y_title
} else {
mainTitle <- paste(strLblMainTitleDistribution, " ",
unique(.gData$Instrument.ID),
" (", unique(.gData$Instrument), ")",
sep = ""
)
subTitle <- ""
xTitle <- strLblYTitleMean
yTitle <- strLblXTitleDensity
}
# DISTRIBUTION PLOT.
gp <- ggplot(.gData, aes_string(x = "Mean.Height"))
gp <- gp + geom_density()
gp <- gp + geom_point(y = 0, aes_string(colour = "Run"), shape = 108, size = 10, alpha = val_alpha)
gp <- gp + labs(
title = paste(mainTitle, "\n", subTitle),
x = xTitle, y = yTitle
)
}
# Restrict y axis.
if (!is.na(val_ymin) && !is.na(val_ymax)) {
# Zoom in.
gp <- gp + coord_cartesian(ylim = c(val_ymin, val_ymax))
}
# Apply theme.
# gp <- gp + theme(axis.text.x=element_text(size=val_size))
# plot.
print(gp)
# Change save button.
svalue(f5_save_btn) <- strBtnSaveObject
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_plotCapillary_gui_savegui", envir = env, inherits = FALSE)) {
svalue(savegui_chk) <- get(".strvalidator_plotCapillary_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_plotCapillary_gui_title", envir = env, inherits = FALSE)) {
svalue(title_edt) <- get(".strvalidator_plotCapillary_gui_title", envir = env)
}
if (exists(".strvalidator_plotCapillary_gui_title_chk", envir = env, inherits = FALSE)) {
svalue(titles_chk) <- get(".strvalidator_plotCapillary_gui_title_chk", envir = env)
}
if (exists(".strvalidator_plotCapillary_gui_sub_title", envir = env, inherits = FALSE)) {
svalue(sub_title_edt) <- get(".strvalidator_plotCapillary_gui_sub_title", envir = env)
}
if (exists(".strvalidator_plotCapillary_gui_x_title", envir = env, inherits = FALSE)) {
svalue(x_title_edt) <- get(".strvalidator_plotCapillary_gui_x_title", envir = env)
}
if (exists(".strvalidator_plotCapillary_gui_y_title", envir = env, inherits = FALSE)) {
svalue(y_title_edt) <- get(".strvalidator_plotCapillary_gui_y_title", envir = env)
}
if (exists(".strvalidator_plotCapillary_gui_points_shape", envir = env, inherits = FALSE)) {
svalue(e2_shape_spb) <- get(".strvalidator_plotCapillary_gui_points_shape", envir = env)
}
if (exists(".strvalidator_plotCapillary_gui_points_alpha", envir = env, inherits = FALSE)) {
svalue(e2_alpha_spb) <- get(".strvalidator_plotCapillary_gui_points_alpha", envir = env)
}
if (exists(".strvalidator_plotCapillary_gui_axes_y_min", envir = env, inherits = FALSE)) {
svalue(e3_y_min_edt) <- get(".strvalidator_plotCapillary_gui_axes_y_min", envir = env)
}
if (exists(".strvalidator_plotCapillary_gui_axes_y_max", envir = env, inherits = FALSE)) {
svalue(e3_y_max_edt) <- get(".strvalidator_plotCapillary_gui_axes_y_max", envir = env)
}
# if(exists(".strvalidator_plotCapillary_gui_xlabel_size", envir=env, inherits = FALSE)){
# svalue(e4_size_edt) <- get(".strvalidator_plotCapillary_gui_xlabel_size", envir=env)
# }
if (debug) {
print("Saved settings loaded!")
}
}
}
.saveSettings <- function() {
# Then save settings if true.
if (svalue(savegui_chk)) {
assign(x = ".strvalidator_plotCapillary_gui_savegui", value = svalue(savegui_chk), envir = env)
assign(x = ".strvalidator_plotCapillary_gui_title_chk", value = svalue(titles_chk), envir = env)
assign(x = ".strvalidator_plotCapillary_gui_title", value = svalue(title_edt), envir = env)
assign(x = ".strvalidator_plotCapillary_gui_sub_title", value = svalue(sub_title_edt), envir = env)
assign(x = ".strvalidator_plotCapillary_gui_x_title", value = svalue(x_title_edt), envir = env)
assign(x = ".strvalidator_plotCapillary_gui_y_title", value = svalue(y_title_edt), envir = env)
assign(x = ".strvalidator_plotCapillary_gui_points_shape", value = svalue(e2_shape_spb), envir = env)
assign(x = ".strvalidator_plotCapillary_gui_points_alpha", value = svalue(e2_alpha_spb), envir = env)
assign(x = ".strvalidator_plotCapillary_gui_axes_y_min", value = svalue(e3_y_min_edt), envir = env)
assign(x = ".strvalidator_plotCapillary_gui_axes_y_max", value = svalue(e3_y_max_edt), envir = env)
# assign(x=".strvalidator_plotCapillary_gui_xlabel_size", value=svalue(e4_size_edt), envir=env)
} else { # or remove all saved values if false.
if (exists(".strvalidator_plotCapillary_gui_savegui", envir = env, inherits = FALSE)) {
remove(".strvalidator_plotCapillary_gui_savegui", envir = env)
}
if (exists(".strvalidator_plotCapillary_gui_title_chk", envir = env, inherits = FALSE)) {
remove(".strvalidator_plotCapillary_gui_title_chk", envir = env)
}
if (exists(".strvalidator_plotCapillary_gui_title", envir = env, inherits = FALSE)) {
remove(".strvalidator_plotCapillary_gui_title", envir = env)
}
if (exists(".strvalidator_plotCapillary_gui_sub_title", envir = env, inherits = FALSE)) {
remove(".strvalidator_plotCapillary_gui_sub_title", envir = env)
}
if (exists(".strvalidator_plotCapillary_gui_x_title", envir = env, inherits = FALSE)) {
remove(".strvalidator_plotCapillary_gui_x_title", envir = env)
}
if (exists(".strvalidator_plotCapillary_gui_y_title", envir = env, inherits = FALSE)) {
remove(".strvalidator_plotCapillary_gui_y_title", envir = env)
}
if (exists(".strvalidator_plotCapillary_gui_points_shape", envir = env, inherits = FALSE)) {
remove(".strvalidator_plotCapillary_gui_points_shape", envir = env)
}
if (exists(".strvalidator_plotCapillary_gui_points_alpha", envir = env, inherits = FALSE)) {
remove(".strvalidator_plotCapillary_gui_points_alpha", envir = env)
}
if (exists(".strvalidator_plotCapillary_gui_axes_y_min", envir = env, inherits = FALSE)) {
remove(".strvalidator_plotCapillary_gui_axes_y_min", envir = env)
}
if (exists(".strvalidator_plotCapillary_gui_axes_y_max", envir = env, inherits = FALSE)) {
remove(".strvalidator_plotCapillary_gui_axes_y_max", envir = env)
}
# if(exists(".strvalidator_plotCapillary_gui_xlabel_size", envir=env, inherits = FALSE)){
# remove(".strvalidator_plotCapillary_gui_xlabel_size", 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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