## UI.R
function(request) {
fluidPage(
titlePanel(NULL, windowTitle = "RLumShiny - KDE"),
sidebarLayout(
# 2- width = 5 -> refers to twitters bootstrap grid system
# where the the maximum width is 12 that is to be shared between all
# elements
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"),
# file upload button (data set 2)
fileInput(inputId = "file2",
label = strong("Secondary data set"),
accept="text/plain, .csv, text/csv"),
# rhandsontable input/output
fluidRow(
column(width = 6,
rHandsontableOutput(outputId = "table_in_primary")
),
column(width = 6,
rHandsontableOutput(outputId = "table_in_secondary"))
),
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",
div(align = "center", h5("Summary")),
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.")
)
),
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" = "sd.rel",
"abs. Standard deviation" = "sd.abs",
"rel. Standard error" = "se.rel",
"abs. Standard error" = "se.abs",
"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("Additional options")),
checkboxInput(inputId = "cumulative",
label = "Show individual data",
value = TRUE),
tooltip(refId = "cumulative", text = "Show cumulative individual data.")
),##EndOf::Tab_2
# Tab 3: input that refer to the plot rather than the data
tabPanel("Plot",
div(align = "center", h5("Title")),
textInput(inputId = "main",
label = "Title",
value = "KDE Plot"),
# inject sliderInput from Server.R
uiOutput(outputId = "bw"),
tooltip(refId = "bw", text = "Bin width of the kernel density estimate"),
br(),
div(align = "center", h5("Scaling")),
sliderInput(inputId = "cex",
label = "Scaling factor",
min = 0.5, max = 2,
value = 1.0, step = 0.1),
div(align = "center", h5("Further options")),
fluidRow(
column(width = 6,
checkboxInput(inputId = "rug",
label = "Add rug",
value = TRUE)
),
column(width = 6,
checkboxInput(inputId = "boxplot",
label = "Add boxplot",
value = TRUE))
)
),##EndOf::Tab_3
# Tab 4: modify axis parameters
tabPanel("Axis",
div(align = "center", h5("X-axis")),
checkboxInput(inputId = "logx",
label = "Logarithmic x-axis",
value = FALSE),
textInput(inputId = "xlab",
label = "Label x-axis",
value = "Equivalent dose [Gy]"),
# inject sliderInput from Server.R
uiOutput(outputId = "xlim"),
br(),
div(align = "center", h5("Y-axis")),
fluidRow(
column(width = 6,
textInput(inputId = "ylab1",
label = "Label y-axis (left)",
value = "Density")
),
column(width = 6,
textInput(inputId = "ylab2",
label = "Label y-axis (right)",
value = "Cumulative frequency")
)
)
),##EndOf::Tab_4
# Tab 5: modify data point representation
tabPanel("Datapoints",
div(align = "center", h5("Primary data set")),
fluidRow(
column(width = 6,
selectInput(inputId = "color", 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.color == 'custom'",
jscolorInput(inputId = "rgb",
label = "Choose a color"))
)
),
div(align = "center", h5("Secondary data set")),
fluidRow(
column(width = 6,
selectInput(inputId = "color2", label = "Datapoint color",
selected = "#b22222",
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.color2 == 'custom'",
jscolorInput(inputId = "rgb2",
label = "Choose a color"))
)
)
),##EndOf::Tab_5
# Tab 9: save plot as pdf, wmf or eps
RLumShiny:::exportTab("export", filename = "KDE"),
RLumShiny:::aboutTab("about", "KDE")
)##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("Primary data set", dataTableOutput("dataset")),
tabPanel("Secondary data set", dataTableOutput("dataset2")),
tabPanel("Central Age Model", dataTableOutput("CAM")),
tabPanel("R plot code", verbatimTextOutput("plotCode"))
)###EndOf::tabsetPanel
)##EndOf::mainPanel
),##EndOf::sideBarLayout
bookmarkButton()
)#EndOf::fluidPage
}
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.