Nothing
## UI.R
function(request) {
fluidPage(
titlePanel("Dose Response Curve", windowTitle = "RLumShiny - Dose Response Curve"),
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 = "Import",
# Tab 1: Data input
RLumShiny:::importTab("import",
"CSV file with at least 3 columns (Dose, LxTx, LxTx.Error and optionally TnTx)",
"text/csv, .csv",
callback = function() {
# rhandsontable input/output
fluidRow(
column(width = 6,
rHandsontableOutput(outputId = "table_in_primary")
)
)
}
), ## EndOf::Tab_1
tabPanel("Method",
div(align = "center", h5("Fitting")),
radioButtons(inputId = "mode",
label = "Mode",
selected = "interpolation",
choices = c("interpolation" = "interpolation",
"extrapolation" = "extrapolation",
"alternate" = "alternate")
),
selectInput(inputId = "fit_method",
"Fit method",
selected = "EXP",
choices = list("EXP" = "EXP",
"LIN" = "LIN",
"QDR" = "QDR",
"GOK" = "GOK",
"EXP OR LIN" = "EXP OR LIN",
"EXP+LIN" = "EXP+LIN",
"EXP+EXP" = "EXP+EXP",
"OTOR" = "OTOR")),
checkboxInput(inputId = "force_through_origin",
label = "Force through origin",
value = TRUE),
checkboxInput(inputId = "fit_weights",
label = "Fit weights",
value = TRUE)
),
tabPanel("Plot",
div(align = "center", h5("Plot elements")),
textInput(inputId = "main",
label = "Title",
value = "Dose Response Curve"),
checkboxInput(inputId = "extended",
label = "Histogram and sensitivity plot",
value = TRUE),
checkboxInput(inputId = "density_rug",
label = "Density rug",
value = TRUE),
checkboxInput(inputId = "box",
label = "Box",
value = TRUE),
br(),
div(align = "center", h5("Axes")),
textInput(inputId = "xlab",
label = "Label x-axis",
value = "Dose [s]"),
textInput(inputId = "ylab",
label = "Label y-axis",
value = "Luminescence [a.u.]"),
conditionalPanel(condition = "input.mode != 'extrapolation'",
fluidRow(
column(width = 6,
checkboxInput(inputId = "logx",
label = "Logarithmic x-axis",
value = FALSE)
),
column(width = 6,
checkboxInput(inputId = "logy",
label = "Logarithmic y-axis",
value = FALSE)
)
)
),
br(),
div(align = "center", h5("Legend")),
checkboxInput(inputId = "showlegend",
label = "Show legend",
value = TRUE),
selectInput(inputId = "legend_pos",
label = "Legend position",
selected = "topright",
choices = c("Top" = "top",
"Top left" = "topleft",
"Top right"= "topright",
"Left" = "left",
"Center" = "center",
"Right" = "right",
"Bottom" = "bottom",
"Bottom left" = "bottomleft",
"Bottom right" = "bottomright")),
br(),
div(align = "center", h5("Scaling")),
sliderInput(inputId = "cex",
label = "Scaling factor",
min = 0.5, max = 2,
value = 1.0, step = 0.1)
),##EndOf::Tab_3
RLumShiny:::exportTab("export", filename = "lmcurve"),
RLumShiny:::aboutTab("about", "lmcurve")
)##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
fluidRow(
tabsetPanel(
tabPanel("Plot", plotOutput(outputId = "main_plot", height = "600px")),
tabPanel("R code", verbatimTextOutput("plotCode"))
)
)
)##EndOf::mainPanel
),##EndOf::sideBarLayout
bookmarkButton()
)##EndOf::fluidPage
}
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