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function(request) {
fluidPage(
titlePanel(NULL, windowTitle = "RLumShiny - Histogram"),
sidebarLayout(
sidebarPanel(width = 5,
# include a tabs in the input panel for easier navigation
tabsetPanel(id = "tabs", type = "pill", selected = "Data",
# Tab 1: Data input
tabPanel("Data",
# informational text
div(align = "center", h5("Data upload")),
# file upload button (data set 1)
fileInput(inputId = "file1",
label = strong("Primary data set"),
accept="text/plain, .csv, text/csv"),
# rhandsontable input/output
fluidRow(
column(width = 6,
rHandsontableOutput(outputId = "table_in_primary")
),
column(width = 6)
),
hr(),
actionButton(inputId = "refresh", label = "Refresh", icon = icon("fas fa-sync")),
tooltip(refId = "refresh", text = "Redraw the plot")
),##EndOf::Tab_1
# Tab 2: Statistical information
tabPanel("Statistics",
fluidRow(
column(width = 6,
checkboxInput(inputId = "summary",
label = "Show summary",
value = FALSE),
tooltip(refId = "summary", text = "Adds numerical output to the plot")
),
column(width = 6,
selectInput(inputId = "sumpos",
label = "Summary position",
selected = "topleft",
choices = list("Subtitle" = "sub",
"Center" = "center",
Top=c("Top" = "top",
"Top left" = "topleft",
"Top right"= "topright"),
Bottom=c("Bottom" = "bottom",
"Bottom left" = "bottomleft",
"Bottom right" = "bottomright")
)),
tooltip(refId = "sumpos", attr = "for", text = "Position of the statistical summary. The keyword \"Subtitle\" will only work if no plot subtitle is used.")
)
),
## ARG 'SUMMARY.METHOD' NOT YET IMPLEMENTED
##
# selectInput(inputId = "summary.method",
# label = "Summary method",
# selected = "unweighted",
# choices = list("Unweighted" = "unweighted",
# "Weighted" = "weighted",
# "Monte Carlo" = "MCM")),
# tooltip(refId = "summary.method", attr = "for", text = "Keyword indicating the method used to calculate the statistic summary. See calc_Statistics for details."),
checkboxGroupInput(inputId = "stats",
label = "Parameters",
selected = c("n","mean"),
choices = c("n" = "n",
"Mean" = "mean",
"Median" = "median",
"rel. Standard deviation" = "sdrel",
"abs. Standard deviation" = "sdabs",
"rel. Standard error" = "serel",
"abs. Standard error" = "seabs",
"Skewness" = "skewness",
"Kurtosis" = "kurtosis"
# "% in 2 sigma range" = "in.2s"
)
),
tooltip(refId = "stats", text = "Statistical parameters to be shown in the summary"),
div(align = "center", h5("Error bars")),
checkboxInput(inputId = "errorBars",
label = "Show standard error points",
value = TRUE),
tooltip(refId = "errorBars", text = "Plot the standard error points over the histogram.")
),##EndOf::Tab_2
# Tab 1: Data input
tabPanel("Plot",
div(align = "center", h5("Title")),
fluidRow(
column(width = 6,
textInput(inputId = "main",
label = "Title",
value = "Histogram")
),
column(width = 6,
textInput(inputId = "mtext",
label = "Subtitle",
value = "")
)
),
div(align = "center", h5("Histogram bars")),
fluidRow(
column(width = 6,
selectInput(inputId = "barsColor", label = "Bar color",
selected = "grey80",
choices = list("White" = "white",
"Black" = "black",
"Grey" = "grey80",
"Red" = "#b22222",
"Green" = "#6E8B3D",
"Blue" = "#428bca",
"Custom" = "custom"))
),
column(width = 6,
# show only if custom color is desired
conditionalPanel(condition = "input.barsColor == 'custom'",
jscolorInput(inputId = "barsRgb",
label = "Choose a color"))
)
),
sliderInput(inputId = "alpha.bars",
label = "Bar transparency",
min = 0, max = 100,
step = 1, value = 66),
br(),
div(align = "center", h5("Normal curve")),
checkboxInput(inputId = "norm",
label = "Add normal curve",
value = FALSE),
tooltip(refId = "norm", text = "Add a normal curve to the histogram. Mean and standard deviation are calculated from the input data. If the normal curve is added, the y-axis in the histogram will show the probability density"),
fluidRow(
column(width = 6,
selectInput(inputId = "normalColor", label = "Normal curve color",
selected = "red",
choices = list("Black" = "black",
"Grey" = "grey50",
"Red" = "#b22222",
"Green" = "#6E8B3D",
"Blue" = "#428bca",
"Custom" = "custom"))
),
column(width = 6,
# show only if custom color is desired
conditionalPanel(condition = "input.normalColor == 'custom'",
jscolorInput(inputId = "normalRgb",
label = "Choose a color"))
)
),
div(align = "center", h5("Scaling")),
sliderInput(inputId = "cex",
label = "Scaling factor",
min = 0.5, max = 2,
value = 1.0, step = 0.1),
br(),
div(align = "center", h5("Rugs")),
checkboxInput(inputId = "rugs",
label = "Add rugs",
value = TRUE),
tooltip(refId = "rugs", text = "Option to add a rug to the KDE part, to indicate the location of individual values"),
fluidRow(
column(width = 6,
selectInput(inputId = "rugsColor", label = "Rugs color",
choices = list("Black" = "black",
"Grey" = "grey50",
"Red" = "#b22222",
"Green" = "#6E8B3D",
"Blue" = "#428bca",
"Custom" = "custom"))
),
column(width = 6,
# show only if custom color is desired
conditionalPanel(condition = "input.rugsColor == 'custom'",
jscolorInput(inputId = "rugsRgb",
label = "Choose a color"))
)
)
),##EndOf::Tab_9
# Tab 4: modify axis parameters
tabPanel("Axis",
div(align = "center", h5("X-axis")),
textInput(inputId = "xlab",
label = "Label x-axis",
value = "Equivalent dose [Gy]"),
# inject sliderInput from Server.R
uiOutput(outputId = "xlim"),
div(align = "center", h5("Y-axis")),
fluidRow(
column(width = 6,
textInput(inputId = "ylab1",
label = "Label y-axis (left)",
value = "Counts")
),
column(width = 6,
textInput(inputId = "ylab2",
label = "Label y-axis (right)",
value = "Error")
)
)
),##EndOf::Tab_4
# Tab 5: modify data point representation
tabPanel("Datapoints",
div(align = "center", h5("Primary data set")),
fluidRow(
column(width = 6,
selectInput(inputId = "pch",
label = "Style",
selected = "17",
choices = c("Square"= "1",
"Circle"="2",
"Triangle point up"="3",
"Plus"="4",
"Cross"="5",
"Diamond"="6",
"Triangle point down"="7",
"Square cross"="8",
"Star"="9",
"Diamond plus"="10",
"Circle plus"="11",
"Triangles up and down"="12",
"Square plus"="13",
"Circle cross"="14",
"Square and Triangle down"="15",
"filled Square"="16",
"filled Circle"="17",
"filled Triangle point up"="18",
"filled Diamond"="19",
"solid Circle"="20",
"Bullet (smaller Circle)"="21",
"Custom"="custom"))
),
column(width = 6,
# show only if custom symbol is desired
conditionalPanel(condition = "input.pch == 'custom'",
textInput(inputId = "custompch",
label = "Insert character",
value = "?"))
)
),
fluidRow(
column(width = 6,
selectInput(inputId = "pchColor", label = "Datapoint color",
choices = list("Black" = "black",
"Grey" = "grey50",
"Red" = "#b22222",
"Green" = "#6E8B3D",
"Blue" = "#428bca",
"Custom" = "custom"))
),
column(width = 6,
# show only if custom color is desired
conditionalPanel(condition = "input.pchColor == 'custom'",
jscolorInput(inputId = "pchRgb",
label = "Choose a color"))
)
)
),##EndOf::Tab_5
RLumShiny:::exportTab("export", filename = "histogram"),
RLumShiny:::aboutTab("about", "histogram")
)##EndOf::tabsetPanel
),##EndOf::sidebarPanel
# 3 - output panel
mainPanel(width = 7,
# insert css code inside <head></head> of the generated HTML file:
# allow open dropdown menus to reach over the container
tags$head(tags$style(type="text/css",".tab-content {overflow: visible;}")),
tags$head(includeCSS("www/style.css")),
# divide output in separate tabs via tabsetPanel
tabsetPanel(
tabPanel("Plot", plotOutput(outputId = "main_plot", height = "500px")),
tabPanel("Data set", dataTableOutput("dataset")),
tabPanel("Central Age Model", dataTableOutput("CAM")),
tabPanel("R plot code", verbatimTextOutput("plotCode"))
)###EndOf::tabsetPanel
)##EndOf::mainPanel
),##EndOf::sideBarLayout
bookmarkButton()
)##EndOf::fluidPage
}
|
