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#' @title boxUI: shiny module UI for boxplot
#' @description Shiny module UI for boxplot
#' @param id id
#' @param label label
#' @return Shiny module UI for boxplot
#' @details Shiny module UI for boxplot
#' @examples
#' library(shiny)
#' library(ggplot2)
#' library(ggpubr)
#' ui <- fluidPage(
#' sidebarLayout(
#' sidebarPanel(
#' boxUI("box")
#' ),
#' mainPanel(
#' plotOutput("box_plot"),
#' ggplotdownUI("box")
#' )
#' )
#' )
#'
#' server <- function(input, output, session) {
#' data <- reactive(mtcars)
#' data.label <- reactive(jstable::mk.lev(mtcars))
#'
#' out_box <- boxServer("box",
#' data = data, data_label = data.label,
#' data_varStruct = NULL
#' )
#'
#' output$box_plot <- renderPlot({
#' print(out_box())
#' })
#' }
#' @rdname boxUI
#' @export
boxUI <- function(id, label = "boxplot") {
# Create a namespace function using the provided id
ns <- NS(id)
tagList(
uiOutput(ns("vars_box")),
uiOutput(ns("strata_box")),
checkboxInput(ns("errorbar"), "Errorbar"),
checkboxInput(ns("jitter"), "Points"),
checkboxInput(ns("fillcolor"), "Fill"),
uiOutput(ns("subvar")),
uiOutput(ns("subval"))
)
}
#' @title boxServer: shiny module server for boxplot.
#' @description Shiny module server for boxplot.
#' @param id id
#' @param data Reactive data
#' @param data_label Reactive data label
#' @param data_varStruct Reactive List of variable structure, Default: NULL
#' @param nfactor.limit nlevels limit in factor variable, Default: 10
#' @return Shiny module server for boxplot.
#' @details Shiny module server for boxplot.
#' @examples
#' library(shiny)
#' library(ggplot2)
#' library(ggpubr)
#' ui <- fluidPage(
#' sidebarLayout(
#' sidebarPanel(
#' boxUI("box")
#' ),
#' mainPanel(
#' plotOutput("box_plot"),
#' ggplotdownUI("box")
#' )
#' )
#' )
#'
#' server <- function(input, output, session) {
#' data <- reactive(mtcars)
#' data.label <- reactive(jstable::mk.lev(mtcars))
#'
#' out_box <- boxServer("box",
#' data = data, data_label = data.label,
#' data_varStruct = NULL
#' )
#'
#' output$box_plot <- renderPlot({
#' print(out_box())
#' })
#' }
#' @rdname boxServer
#' @export
#' @import shiny
#' @importFrom data.table data.table .SD :=
#' @importFrom ggpubr ggboxplot
#' @importFrom ggplot2 ggsave
#' @importFrom rvg dml
#' @importFrom officer read_pptx add_slide ph_with ph_location
boxServer <- function(id, data, data_label, data_varStruct = NULL, nfactor.limit = 10) {
moduleServer(
id,
function(input, output, session) {
## To remove NOTE.
level <- val_label <- variable <- NULL
if (is.null(data_varStruct)) {
data_varStruct <- reactive(list(variable = names(data())))
}
vlist <- reactive({
data <- data.table(data(), stringsAsFactors = T)
factor_vars <- names(data)[data[, lapply(.SD, class) %in% c("factor", "character")]]
# data[, (factor_vars) := lapply(.SD, as.factor), .SDcols= factor_vars]
factor_list <- mklist(data_varStruct(), factor_vars)
nclass_factor <- unlist(data[, lapply(.SD, function(x) {
length(levels(x))
}), .SDcols = factor_vars])
group_vars <- factor_vars[nclass_factor >= 2 & nclass_factor <= nfactor.limit & nclass_factor < nrow(data)]
group_list <- mklist(data_varStruct(), group_vars)
except_vars <- factor_vars[nclass_factor > nfactor.limit | nclass_factor == 1 | nclass_factor == nrow(data)]
select_vars <- setdiff(names(data), factor_vars)
select_list <- mklist(data_varStruct(), select_vars)
return(list(
factor_vars = factor_vars, factor_list = factor_list, nclass_factor = nclass_factor, group_vars = group_vars, group_list = group_list, except_vars = except_vars,
select_vars = select_vars, select_list = select_list
))
})
output$vars_box <- renderUI({
tagList(
selectizeInput(session$ns("x_box"), "X variable",
choices = vlist()$factor_vars, multiple = F,
selected = vlist()$select_vars[1]
),
selectizeInput(session$ns("y_box"), "Y variable",
choices = vlist()$select_list, multiple = F,
selected = ifelse(length(vlist()$select_vars) > 1, vlist()$select_vars[2], vlist()$select_vars[1])
)
)
})
output$strata_box <- renderUI({
strata_vars <- setdiff(vlist()$factor_vars, vlist()$except_vars)
strata_vars <- setdiff(strata_vars, input$x_box)
strata_list <- mklist(data_varStruct(), strata_vars)
strata_select <- c("None", strata_list)
selectizeInput(session$ns("strata"), "Strata",
choices = strata_select, multiple = F,
selected = unlist(strata_select)[1]
)
})
observeEvent(input$subcheck, {
output$subvar <- renderUI({
req(input$subcheck == T)
req(!is.null(input$x_box))
var_subgroup <- setdiff(names(data()), c(vlist()$except_vars, input$x_box, input$y_box, input$strata))
var_subgroup_list <- mklist(data_varStruct(), var_subgroup)
validate(
need(length(var_subgroup) > 0, "No variables for sub-group analysis")
)
tagList(
selectInput(session$ns("subvar_km"), "Sub-group variables",
choices = var_subgroup_list, multiple = T,
selected = var_subgroup[1]
)
)
})
})
output$subval <- renderUI({
req(input$subcheck == T)
req(length(input$subvar_km) > 0)
outUI <- tagList()
for (v in seq_along(input$subvar_km)) {
if (input$subvar_km[[v]] %in% vlist()$factor_vars) {
outUI[[v]] <- selectInput(session$ns(paste0("subval_km", v)), paste0("Sub-group value: ", input$subvar_km[[v]]),
choices = data_label()[variable == input$subvar_km[[v]], level], multiple = T,
selected = data_label()[variable == input$subvar_km[[v]], level][1]
)
} else {
val <- stats::quantile(data()[[input$subvar_km[[v]]]], na.rm = T)
outUI[[v]] <- sliderInput(session$ns(paste0("subval_km", v)), paste0("Sub-group range: ", input$subvar_km[[v]]),
min = val[1], max = val[5],
value = c(val[2], val[4])
)
}
}
outUI
})
boxInput <- reactive({
req(c(input$x_box, input$y_box, input$strata))
data <- data.table(data())
label <- data_label()
color <- ifelse(input$strata == "None", input$x_box, input$strata)
fill <- ifelse(input$strata == "None", input$x_box, input$strata)
if (input$strata != "None") {
data <- data[!is.na(get(input$strata))]
}
add.params <- list()
cor.coeff.args <- list(p.accuracy = 0.001)
add <- "none"
if (input$jitter) {
add <- "jitter"
}
fillcolor <- "white"
if (input$fillcolor) {
fillcolor <- "gray"
}
ggpubr::ggboxplot(data, input$x_box, input$y_box,
color = color, add = add, add.params = add.params, conf.int = input$lineci,
xlab = label[variable == input$x_box, var_label][1],
ylab = label[variable == input$y_box, var_label][1], na.rm = T, fill = fillcolor, error.plot = "errorbar",
bxp.errorbar = input$errorbar
)
})
output$downloadControls <- renderUI({
tagList(
column(
4,
selectizeInput(session$ns("file_ext"), "File extension (dpi = 300)",
choices = c("jpg", "pdf", "tiff", "svg", "pptx"), multiple = F,
selected = "pptx"
)
),
column(
4,
sliderInput(session$ns("fig_width"), "Width (in):",
min = 5, max = 15, value = 8
)
),
column(
4,
sliderInput(session$ns("fig_height"), "Height (in):",
min = 5, max = 15, value = 6
)
)
)
})
output$downloadButton <- downloadHandler(
filename = function() {
paste(input$x_box, "_", input$y_box, "_boxplot.", input$file_ext, sep = "")
},
# content is a function with argument file. content writes the plot to the device
content = function(file) {
withProgress(
message = "Download in progress",
detail = "This may take a while...",
value = 0,
{
for (i in 1:15) {
incProgress(1 / 15)
Sys.sleep(0.01)
}
if (input$file_ext == "pptx") {
my_vec_graph <- rvg::dml(ggobj = boxInput())
doc <- officer::read_pptx()
doc <- officer::add_slide(doc, layout = "Title and Content", master = "Office Theme")
doc <- officer::ph_with(doc, my_vec_graph, location = officer::ph_location(width = input$fig_width, height = input$fig_height))
print(doc, target = file)
} else {
ggplot2::ggsave(file, boxInput(), dpi = 300, units = "in", width = input$fig_width, height = input$fig_height)
}
}
)
}
)
return(boxInput)
}
)
}
#####
#
# ui <- navbarPage("basic statistics",
# navbarMenu("Plot", icon = icon("bar-chart-o"),
# tabPanel("Boxplot",
# sidebarLayout(
# sidebarPanel(
# boxUI("box")
# ),
# mainPanel(
# withLoader(plotOutput("box_plot"), type="html", loader="loader6"),
# ggplotdownUI("box")
# )
# )
# )
# )
# )
#
# server <- function(input, output, session){
#
# data <- reactive(mtcars)
# data.label <- reactive(jstable::mk.lev(mtcars))
# out_box <- boxServer("box", data = data, data_label = data.label, data_varStruct = NULL, nfactor.limit = 20)
#
# output$box_plot <- renderPlot({
# print(out_box())
#
#
# output$box_plot <- renderPlot({
# # print(out_box())
# })
# }
#
# shinyApp(ui, server)
#
#
# ui <- fluidPage(
# sidebarLayout(
# sidebarPanel(
# boxUI("box")
# ),
# mainPanel(
# plotOutput("box_plot"),
# ggplotdownUI("box")
# )
# )
# )
#
# server <- function(input, output, session) {
# mtcars$am <- as.factor(mtcars$am)
# mtcars$vs <- as.factor(mtcars$vs)
# mtcars$gear <- as.factor(mtcars$gear)
# mtcars$carb <- as.factor(mtcars$carb)
# mtcars$cyl <- as.factor(mtcars$cyl)
# data <- reactive(mtcars)
# data.label <- reactive(jstable::mk.lev(mtcars))
# out_box <- boxServer("box", data = data, data_label = data.label,
# data_varStruct = NULL)
#
# output$box_plot <- renderPlot({
# print(out_box())
# })
# }
#
# shinyApp(ui, server)
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